362
20
11858
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Forecasting Stock Market Indexes Through Machine Learning Using Technical Analysis Indicators and DWT
Subject
The topic of the resource
Discrete wavelet transform; Machine learning; Nifty 50; S&P 500; Stock market forecasting; SVR; Technical analysis indicators
Description
An account of the resource
In recent years, the stock market prices have become more volatile due to refinement in technology and a rise in trading volume. As these seemingly unpredictable price trends continue, the stock market investors and consumers refer to the security indices to assess these financial markets. To maximise their return on investment, the investors could employ appropriate methods to forecast the stock market trends, taking into account the nonlinearity and nonstationarity of the stock market data. This research aims to assess the predictive capability of supervised machine learning models for the stock market regression analysis. The dataset utilised in this research includes the daily prices and additional technical indicator data of S&P 500 Index of US stock exchange and Nifty50 Index of Indian stock exchange from January 2008 to June 2016; both the indexes are weighted measurements of the top companies listed on respective stock exchanges. The model proposed in this research combines the discrete wavelet transform and support vector regression (SVR) with various kernels such as Linear, Poly and Radial basis function kernel (RBF) of the support vector machine. The results show that using the RBF kernel on Nifty 50 index data, the proposed model achieves the lowest MSE and RMSE error during testing are 0.0019 and 0.0431, respectively, and on S&P 500 index data, it achieves 0.0027 and 0.0523, respectively. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
An entity primarily responsible for making the resource
Patel S.; Surya B.D.V.; Manjunath C.; Marimuthu B.; Ghosh B.
Source
A related resource from which the described resource is derived
Lecture Notes on Data Engineering and Communications Technologies, Vol-111, pp. 625-638.
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-981-16-9113-3_46" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9113-3_46</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133556520&doi=10.1007%2F978-981-16-9113-3_46&partnerID=40&md5=9f116fa2103c56642aa354758affe57b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133556520&doi=10.1007%2f978-981-16-9113-3_46&partnerID=40&md5=9f116fa2103c56642aa354758affe57b</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 23674512
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patel S., Department of Computer Science and Engineering, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Surya B.D.V., Department of Computer Science and Engineering, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Manjunath C., Department of Computer Science and Engineering, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Marimuthu B., Department of Computer Science and Engineering, CHRIST (Deemed To Be University), Karnataka, Bengaluru, India; Ghosh B., Department of Finance, RV Institute of Management, Karnataka, Bengaluru, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Mobile-Based Indian Currency Detection Model for the Visually Impaired
Subject
The topic of the resource
CNN; Currency detection; Edge detection; Image processing; Mobile application; Visually impaired
Description
An account of the resource
According to surveys held in 2019, India holds the largest population standing just after China, but when it comes to visually impaired people, India ranks number one. There are approximately 37 million people across India who are suffering from visual impairment. Special care and measures are taken to help these people live a peaceful life as any other citizen of India, but with the demonetization that happened in the recent years, the Indian economy was replaced with newer currency notes as an attempt to stop black money and fight corruption. Even though the objectives were clear and attainable, with the newer currency notes, the visually impaired people are facing various problems, as there is no provision for them to actually check the currency as the notes are not equipped with Braille system and the sizes of each and every currency is also the same in many cases. To counteract this problem, a mobile-based Indian currency detection model would be a better solution as it enables a visually impaired person to identify the value of specific currency he is holding. The mobile-based Indian currency detection model is the proposed model which will be using image processing for feature extraction and a basic CNN (convolutional neural network) for identification of currency with the given feature inputs. This model is being made into a mobile-based application so as to enable a visually impaired person to check for any possible frauds as fast as possible. 2020, Springer Nature Switzerland AG.
Creator
An entity primarily responsible for making the resource
Pathak A.; Aurelia S.
Source
A related resource from which the described resource is derived
EAI/Springer Innovations in Communication and Computing, pp. 67-79.
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Date
A point or period of time associated with an event in the lifecycle of the resource
2020-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-3-030-41368-2_3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-41368-2_3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090536135&doi=10.1007%2F978-3-030-41368-2_3&partnerID=40&md5=15786d93a5007e5718b6cf77c570bbda" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090536135&doi=10.1007%2f978-3-030-41368-2_3&partnerID=40&md5=15786d93a5007e5718b6cf77c570bbda</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 25228595
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pathak A., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Aurelia S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Porous carbon nanoparticles dispersed nematic liquid crystal: influence of the particle size on electro-optical and dielectric parameters
Subject
The topic of the resource
birefringence; composite; dielectric anisotropy; electro-optical; nematic liquid crystal; Porous carbon nanoparticles
Description
An account of the resource
Porous carbon nanoparticles (PCNPs) of four different sizes (~180nm, ~51nm, ~41 and ~25nm) were dispersed into a nematic liquid crystal (NLC) in 0.25wt% concentration. PCNPs were derived from biowaste materials and pyrolysed at elevated temperatures to get the porous structure. Polarising optical microscopic observations were carried out in dark and bright states on both the pure NLC as well as NLC-PCNPs composites. Homogeneous alignment was well maintained in all the composites except the one with the highest sized (~180nm) PCNPs. Birefringence, relative permittivity and dielectric anisotropy, increases as the size of the PCNPs is decreased in the composites. The threshold voltage was also found to decrease with the decrease in the size of the PCNPs. Such investigations may be useful for the fabrication of display devices such as flat panel displays (FPDs) and phase shifters. 2021 Informa UK Limited, trading as Taylor & Francis Group.
Creator
An entity primarily responsible for making the resource
Pathak G.; Hegde R.S.; Punjalkatte S.S.; Rujiralai T.; Hegde G.; Prasad V.
Source
A related resource from which the described resource is derived
Liquid Crystals, Vol-49, No. 45907, pp. 1223-1234.
Publisher
An entity responsible for making the resource available
Taylor and Francis Ltd.
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1080/02678292.2021.1988740" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/02678292.2021.1988740</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117446661&doi=10.1080%2F02678292.2021.1988740&partnerID=40&md5=673f0288d7639a77833e5747fe6b1c07" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117446661&doi=10.1080%2f02678292.2021.1988740&partnerID=40&md5=673f0288d7639a77833e5747fe6b1c07</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 2678292; CODEN: LICRE
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pathak G., Centre for Nano and Soft Matter Sciences, Bengaluru, India; Hegde R.S., Centre for Nano and Soft Matter Sciences, Bengaluru, India; Punjalkatte S.S., Centre for Nano-materials & Displays, B.m.s. College of Engineering, Bengaluru, India; Rujiralai T., Centre of Excellence for Innovation in Chemistry and Division of Physical Science, Faculty of Science, Prince of Songkla University, Songkla, Hat Yai, Thailand; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Hosur Rd, Karnataka, Bengaluru, 560029, India; Prasad V., Centre for Nano and Soft Matter Sciences, Bengaluru, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Impact of porous nanoparticles on the electro-optical and dielectric parameters of nematic liquid crystals for display applications: Cost effective approach
Subject
The topic of the resource
birefringence; carbon nanoparticle; Nematic liquid crystals; threshold voltage
Description
An account of the resource
In this study, several vital electro-optical and dielectric properties of nematic liquid crystal (NLC) dispersed with porous carbon nanoparticles (PCNP) with three different concentrations were measured. NLCs are birefringent materials. Increased birefringence was observed for NLC-PCNP composites. Dielectric study was also performed for NLC dispersed with PCNPs. Dielectric anisotropy was found to be increased for PCNP dispersed NLC system. Contrast ratio was also measured for NLC dispersed with PCNP, and it is found to be enhanced. Decreased threshold voltage was observed after dispersing PCNP into NLC. High birefringence reduces the cell gap so this work may be applicable in the making of flat panel displays (FPDs). 2024 Taylor & Francis Group, LLC.
Creator
An entity primarily responsible for making the resource
Pathak G.; M V.; Hegde G.; Verma S.; Manohar R.
Source
A related resource from which the described resource is derived
Journal of Dispersion Science and Technology
Publisher
An entity responsible for making the resource available
Taylor and Francis Ltd.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1080/01932691.2024.2312822" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/01932691.2024.2312822</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184454555&doi=10.1080%2F01932691.2024.2312822&partnerID=40&md5=fe30252a22805c25e8c87c7054f944d2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184454555&doi=10.1080%2f01932691.2024.2312822&partnerID=40&md5=fe30252a22805c25e8c87c7054f944d2</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 1932691
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pathak G., Liquid Crystal Research Lab, Department of Physics, University of Lucknow, Lucknow, India; M V., Centre for Advance Research and Development, CHRIST (Deemed to be University), Bengaluru, India; Hegde G., Centre for Advance Research and Development, CHRIST (Deemed to be University), Bengaluru, India; Verma S., CMS, Gomtinagar, Lucknow, India; Manohar R., Liquid Crystal Research Lab, Department of Physics, University of Lucknow, Lucknow, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Influence of composite mixtures between nematic liquid crystal and porous carbon nanoparticles towards photoluminescence and UV absorbance
Subject
The topic of the resource
Carbon nanoparticles; Nematic liquid crystal; Photoluminescence; UV absorbance
Description
An account of the resource
The optical parameters of the liquid crystalline materials can be tuned by the dispersion of nanoparticles. Concentration of dopant in the host LC material affects its optical properties significantly, which makes the dispersed system suitable for LC-based devices. In the present investigation, we have studied the effect of different concentrations of nanoparticles on the optical properties of LC, as a guesthost system, where PCNP is guest material and NLC is host material. Porous carbon nanoparticles (PCNPs) were dispersed into the nematic liquid crystal (NLC) in three different concentrations. Optical parameters were measured for pure NLC and NLC-PCNP composites. Photoluminescence (PL) study was performed and it was found that the PL intensity increased for the PCNP dispersed system. High photoluminescence has much importance in the luminescent displays. Full width half maxima (FWHM) were also determined by the Gaussian fitting of PL intensity data. UV absorbance was also measured which gets increased for the PCNP dispersed NLC system when compared to pure NLC. Optical bandgap was found to be reduced after the dispersion of PCNP into NLC. Several other parameters such as absorption coefficient and optical density were also determined. The proposed work may be significant for the liquid crystal displays (LCDs) and other devices which require less bandgap materials. This work may also put some light on the effect of dopants on the LC material in the research based on guesthost system. Increasing the photoluminescence and creating less bandgap materials using carbon nanoparticles is a real challenge, and porous nanoparticles used here overcome this challenge. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
Creator
An entity primarily responsible for making the resource
Pathak G.; Rujiralai T.; Hegde G.; Manohar R.
Source
A related resource from which the described resource is derived
Applied Physics A: Materials Science and Processing, Vol-129, No. 4
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/s00339-023-06550-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00339-023-06550-z</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150680489&doi=10.1007%2Fs00339-023-06550-z&partnerID=40&md5=5f9f8cefa441e271cf26280ffe20cb0d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150680489&doi=10.1007%2fs00339-023-06550-z&partnerID=40&md5=5f9f8cefa441e271cf26280ffe20cb0d</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 9478396; CODEN: APAMF
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pathak G., Liquid Crystal Research Lab, Department of Physics, University of Lucknow, Lucknow, 226007, India; Rujiralai T., Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand; Hegde G., Centre for Advanced Research and Development, CHRIST (Deemed to be University), Hosur Rd, Bengaluru, 560029, India; Manohar R., Liquid Crystal Research Lab, Department of Physics, University of Lucknow, Lucknow, 226007, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Cost effective porous areca nut carbon nanospheres for adsorptive removal of dyes and their binary mixtures
Subject
The topic of the resource
Areca nut; Binary mixture; Methylene blue and methyl orange; Nanoadsorbent; Porous nano spheres; Wastewater
Description
An account of the resource
Novel porous nanospheres from areca nuts (ACNPs) were synthesized via one-step pyrolysis without the use of any chemical treatment and the materials were used as adsorbents for the removal of cationic methylene blue (MB) and anionic methyl orange (MO) as well as their binary mixtures. Around, 67 tonnes of areca nut biowaste is generated every year which are then burnt due to their slow rate of decomposition resulting in higher carbon footprints. Biosorbents are generally a preferable alternative for dye adsorption but involve chemical modification for surface enhancement and complex sample treatment. In this work, ACNPs, were investigated for their efficiency in the raw form and were characterized by SEM, EDS, FTIR, XRD, and BET techniques before and after subjecting to the dye adsorption studies. The BET analysis of the adsorbents showed a high specific surface area of 693.8 m2/g when prepared at 1000 C, while the N2 adsorption-desorption plot showed type-IV isotherm, suggesting the microporous nature of the carbon matrix. Batch equilibrium studies showed the removal efficiency of >95% for both the dyes and their binary mixtures under the optimum conditions of 0.15 g/L dosage, 10 ?M concentration and contact time of 70 min. Due to the synergistic effects of the binary dyes, higher removal efficiency of MB compared to MO was observed in the binary mixture. Adsorption results were tested using Langmuir, Freundlich, Temkin, Redlich-Peterson, and Elovich isotherms to assess the best fit of the models. The qm value of MB was found to be 97.37 mg/g, while that of MO was 71.22 mg/g which is higher compared to individual dye components having lower values of 86.12 mg/g and 50.35 mg/g, respectively. Extended Langmuir and Jain and Snoeyink isotherms were used for binary data interpretation. The kinetic results showed good agreement with the Pseudo-second order equation, indicating internal diffusion. The possible mechanism involved electrostatic and ?-? interactions between the dye molecules and ACNPs. This approach is comprehensible and cost effective and can be utilized for dye removal in textile industries. 2023 Elsevier Inc.
Creator
An entity primarily responsible for making the resource
Pathania D.; Araballi A.; Fernandes F.; Shivanna J.M.; Sriram G.; Kurkuri M.; Hegde G.; Aminabhavi T.M.
Source
A related resource from which the described resource is derived
Environmental Research, Vol-224
Publisher
An entity responsible for making the resource available
Academic Press Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.envres.2023.115521" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.envres.2023.115521</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148936322&doi=10.1016%2Fj.envres.2023.115521&partnerID=40&md5=46416b4d4da2083115be999d06fb4db0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148936322&doi=10.1016%2fj.envres.2023.115521&partnerID=40&md5=46416b4d4da2083115be999d06fb4db0</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 139351; PubMed ID: 36805895; CODEN: ENVRA
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pathania D., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Araballi A., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Fernandes F., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Shivanna J.M., Department of Chemistry, AMC Engineering College, Bannerghatta Road, Bengaluru, 560083, India; Sriram G., Department of Environment and Energy Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea; Kurkuri M., Centre for Research in Functional Materials (CRFM), JAIN (Deemed to be University), Jain Global Campus, Bengaluru, 562112, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India, Department of Chemistry, CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Aminabhavi T.M., Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Hubballi, 580 031, India, Department of Biotechnology, Engineering and Food Technology, Chandigarh University, Punjab, Mohali, 140413, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Garlic peel based mesoporous carbon nanospheres for an effective removal of malachite green dye from aqueous solutions: Detailed isotherms and kinetics
Subject
The topic of the resource
Adsorption studies; Biosorbents; Biowaste; Dye removal; Garlic peel; Malachite green; Nanoparticles
Description
An account of the resource
Biowaste based nanoadsorbents have gained much attention in the recent times for wastewater decolourization owing to their low cost, high surface area and high adsorption capacities. In the present research, garlic peel based nanoparticles (GCNP) were synthesized at different temperatures by a one step pyrolytic green approach for the effective removal of cationic dye, malachite green from the aqueous medium. The surface properties of Garlic nanoparticles were elucidated by N2 adsorption- desorption and all the GCNP samples were found to exhibit Type IV(a) isotherm indicating the presence of mesopores in carbon matrix. Using BET calculations, highest surface area (380 m2/g) was obtained for GCNP synthesized at 1000 ?C. Characterization of nanoparticles was done by XRD, EDAX, SEM and FTIR studies before and after the dye treatment. Adsorption studies conducted using different parameters like contact time, concentration and pH and dosage of adsorbent showed removal efficiency above 90% for the contact time of 70 min. Best adsorption experimental results were obtained for GCNP synthesized at 1000 C ascribable to its high surface area, higher total pore volume (0.26 cm2/g) and higher carbon content. Four adsorption isotherm models were used to validate batch equillibrium studies and the results showed data in good agreement with Langmuir and Freundlich isotherms with maximum Langmuir adsorbtion capactiy to be 373.7 mg/g. Kinetic modelling of the data showed best fit with the Pseudo second order model with rate constant value of 48.726 g mg?1 min?1. Regenerative studies were conducted conducted upto 6 cycles. Also the GC nanoparticles were tested for their compatibility in membrane form wherein, removal efficiency results were obtained for GCNP anchored in polyvinyl difluoride (PVDF) and polysulfone (PSF) membrane matrix for dye adsorption. 2022 Elsevier B.V.
Creator
An entity primarily responsible for making the resource
Pathania D.; Bhat V.S.; Mannekote Shivanna J.; Sriram G.; Kurkuri M.; Hegde G.
Source
A related resource from which the described resource is derived
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, Vol-276
Publisher
An entity responsible for making the resource available
Elsevier B.V.
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.saa.2022.121197" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.saa.2022.121197</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127467856&doi=10.1016%2Fj.saa.2022.121197&partnerID=40&md5=ab2aeaed399511b9024c11c239477f85" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127467856&doi=10.1016%2fj.saa.2022.121197&partnerID=40&md5=ab2aeaed399511b9024c11c239477f85</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 13861425; CODEN: SAMCA
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pathania D., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bangalore, 560029, India; Bhat V.S., Department of Material Sciences, Mangalore University, Mangalore, Mangalagangothri, 574199, India; Mannekote Shivanna J., Department of Chemistry, AMC Engineering College, Bannerghatta Road, Bengaluru, 560083, India; Sriram G., Centre for Research in Functional Materials (CRFM), JAIN University, Jain Global Campus, Bengaluru, 562 112, India; Kurkuri M., Centre for Research in Functional Materials (CRFM), JAIN University, Jain Global Campus, Bengaluru, 562 112, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bangalore, 560029, India, Department of Chemistry, CHRIST (Deemed to be University), Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Diagnose Diabetic Mellitus Illness Based on IoT Smart Architecture
Description
An account of the resource
Obtaining a quick remote diagnosis of heart disease has proven problematic in recent days. To overcome such issues in e-Healthcare systems, Internet of Things (IoT) applications have been deployed using cloud computing (CC) approaches. There are still a number of disadvantages to using CC, including latency, bandwidth, energy usage, and security and privacy concerns. Fog computing (FC), a CC development, may be able to overcome these obstacles. DiaFog enabling remote users for real-time diagnosis of diabetic mellitus disease (DMD) has been proposed in this study, which is based on the combined ideas of IoT, cloud, and fog computing, as well as an ensemble deep learning (EDL) technique. The proposed system is trained with EDL approaches on the integrated dataset of two diabetes mellitus disease datasets (DMDDs), namely, Pima Indians Diabetes Dataset (PIDD) and Hospital Frankfurt Germany Diabetes Dataset (HFGDD), obtained from the UCI-ML and Kaggle repository, respectively, and the integrated dataset of these two. The suggested system has been used to demonstrate accuracy, precision, recall, F-measure, latency, arbitration time, jitter, processing time, throughput, energy consumption, bandwidth utilization, network utilization, scalability, and more. In the remote instantaneous diagnosis of diabetic patients, the integration of IoT-fog-cloud is useful. The results of the trials show the value of employing FC principles and their applicability for speedy diabetic patient remote diagnosis. PACS-key is describing text of that key PACS-key describing text of that key. 2022 Abhilash Pati et al.
Creator
An entity primarily responsible for making the resource
Pati A.; Parhi M.; Pattanayak B.K.; Singh D.; Samanta D.; Banerjee A.; Biring S.; Dalapati G.K.
Source
A related resource from which the described resource is derived
Wireless Communications and Mobile Computing, Vol-2022
Publisher
An entity responsible for making the resource available
Hindawi Limited
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1155/2022/7268571" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/7268571</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137667978&doi=10.1155%2F2022%2F7268571&partnerID=40&md5=f62a3402725b98030df7d7abbf160985" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137667978&doi=10.1155%2f2022%2f7268571&partnerID=40&md5=f62a3402725b98030df7d7abbf160985</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access
Relation
A related resource
ISSN: 15308669
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pati A., Siksha 'o' Anusandhan University, Odisha, Bhubaneswar, India; Parhi M., Siksha 'o' Anusandhan University, Odisha, Bhubaneswar, India; Pattanayak B.K., Siksha 'o' Anusandhan University, Odisha, Bhubaneswar, India; Singh D., Siksha 'o' Anusandhan University, Odisha, Bhubaneswar, India; Samanta D., Department of Computer Science, CHRIST University, Bangalore, India; Banerjee A., Physics Department, Bidhan Chandra College, Asansol, 713 303, India, Organic Electronics Research Center, Ming Chi University of Technology, New Taipei City, 24301, Taiwan; Biring S., Organic Electronics Research Center, Ming Chi University of Technology, New Taipei City, 24301, Taiwan, Department of Electronic Engineering, Ming Chi University of Technology, New Taipei City, 24301, Taiwan; Dalapati G.K., Organic Electronics Research Center, Ming Chi University of Technology, New Taipei City, 24301, Taiwan, Sunkonnect, 1 Cleantech Loop, Singapore, 637141, Singapore
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Comparative analysis and suggestion of architectures for reduction of road accidents
Subject
The topic of the resource
Architectures; Road Accidents; Sensors; Technology; Vehicles
Description
An account of the resource
As Road Accidents are increasing all over the world, it is very important to save peoples lives. With the advancement in technology we can make use of various real time sensors and technology to save peoples lives. This paper focuses on comparing various architectures which consists of various real time sensors like Eye blink sensor, Alcohol sensor, Speed sensor, load sensor, tilt and turning sensor and various technologies like GPS, GSM. After comparison paper suggests which architecture should be used in the vehicle based on certain attributes. For E.g. If the car always travels outside the city then this paper suggests the architecture which has Eye blink sensor, Speed Sensor GPS and GSM. IAEME Publication.
Creator
An entity primarily responsible for making the resource
Patil A.; Das D.
Source
A related resource from which the described resource is derived
International Journal of Civil Engineering and Technology, Vol-9, No. 3, pp. 945-954.
Publisher
An entity responsible for making the resource available
IAEME Publication
Date
A point or period of time associated with an event in the lifecycle of the resource
2018-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045054306&partnerID=40&md5=8b62ab7436fe69fb35cbf5e88f7dcd10" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045054306&partnerID=40&md5=8b62ab7436fe69fb35cbf5e88f7dcd10</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 9766308
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A., Department of Computer Science, Christ University, Bangalore, India; Das D., Department of Computer Science, Christ University, Bangalore, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Big data-Industry 4.0 readiness factors for sustainable supply chain management: Towards circularity
Subject
The topic of the resource
Big data; Circular Economy; Digitalization; Industry 4.0; Sustainable Supply Chain
Description
An account of the resource
Big data-Industry 4.0 interaction is expected to revolutionize the existing supply chains in recent years. While increased operational efficiency and enhanced decision-making are the primary advantages studied widely, the sustainable aspects of digital supply chain in the circular economy era have received limited attention. The previous literature rarely explores the industry readiness for a digital supply chain. Thus, the present study objectives to explore Big data-Industry 4.0 readiness factors for sustainable supply chain management. A detailed literature analysis was performed to identify a total of seventeen readiness factors for sustainable supply chain management. A team of six experts were consulted to perform the pairwise comparison for the identified potential readiness factors. This study adopts a fuzzy best-worst method to prioritize the readiness factors according to their degree of influence. The results from the study reflect that readiness towards information system infrastructure, Internet stability for developing I4.0 infrastructure, and circular process and awareness are the most significant readiness factors. The potential recommendation of this study includes the increased attention from sustainable supply chain stakeholders on developing infrastructure, including knowledge building exercise and training process focused on circular economy process. The findings from the study will assist sustainable supply chain stakeholders to frame strategies and action plans during the digitalization of supply chains. 2023 Elsevier Ltd
Creator
An entity primarily responsible for making the resource
Patil A.; Dwivedi A.; Abdul Moktadir M.; Lakshay
Source
A related resource from which the described resource is derived
Computers and Industrial Engineering, Vol-178
Publisher
An entity responsible for making the resource available
Elsevier Ltd
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.cie.2023.109109" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cie.2023.109109</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149638220&doi=10.1016%2Fj.cie.2023.109109&partnerID=40&md5=655fa597973507a2da5d5f29d541d9fe" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149638220&doi=10.1016%2fj.cie.2023.109109&partnerID=40&md5=655fa597973507a2da5d5f29d541d9fe</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 3608352; CODEN: CINDD
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A., Christ University, Bengaluru, India; Dwivedi A., Jindal Global Business School, O.P. Jindal Global University, Sonipat, India; Abdul Moktadir M., Institute of Leather Engineering and Technology, University of Dhaka, Dhaka, 1209, Bangladesh; Lakshay, Department of Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Effects of Macro Economic Indicators on Foreign Portfolio Investments
Subject
The topic of the resource
Foreign Portfolio Investment; Gross Domestic Product; Monetary Policy; National Stock Exchange Volume; the VECM (Vector Error Correction) Model
Description
An account of the resource
In this study, both institutional and retail investors were observed making exits and entries based on macroeconomic data, utilizing measurable indicators such as GDP, inflation, bank rates, foreign exchange rates, trade volume on the national stock exchange, and portfolio investments. Employing a Vector Error Correction Model (VECM) in an econometric analysis, the study found a significant association between macroeconomic indicators and portfolio investments in India. Investors followed a discernible pattern of entering and exiting markets, with economic growth fostering greater investments. Notably, GDP, NSE Volume, and bank rates were identified as variables impacting foreign portfolio investments. In the long run, GDP positively affected foreign portfolio investments, while inflation and foreign exchange rates exhibited a detrimental influence, leading to decreased portfolio investments. Foreign Institutional Investors, prioritizing profits over business operations, focused on market sentiments, directing investments towards economies with potential performance and resulting in a higher volume of capital inflow. Overall, the study concludes that a robust economic condition attracts superior foreign portfolio investments. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Patil A.; Lakshmi R.B.; Niranjan L.R.; Vas J.
Source
A related resource from which the described resource is derived
Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICONSTEM60960.2024.10568614" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONSTEM60960.2024.10568614</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198841367&doi=10.1109%2FICONSTEM60960.2024.10568614&partnerID=40&md5=a4db7b165063fbdba1ba75ad2609c45e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198841367&doi=10.1109%2fICONSTEM60960.2024.10568614&partnerID=40&md5=a4db7b165063fbdba1ba75ad2609c45e</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835036509-2
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A., School of Business & Management, Christ University, Bangalore, India; Lakshmi R.B., School of Business & Management, Christ University, Bangalore, India; Niranjan L.R., School of Business & Management, Christ University, Bangalore, India; Vas J., School of Business & Management, Christ University, Bangalore, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
An in-depth investigation into financial literacy levels in Indian households
Description
An account of the resource
In a complex financial world, lack of awareness complicates money management and savings. Emphasizing financial literacy is vital for informed decision-making. This study explores global financial illiteracy, advocating international initiatives. In India, it assesses disparities and government activities and reviews tax-saving and mobile banking. Gaps include limited studies on Indian households, necessitating gender-specific analyses and research on education's impact. The methodology outlines justification, operational definitions, and data collection techniques. With ANOVA and descriptive statistics on 285 respondents, the study reveals demographic analysis, indicating higher financial literacy with age and a gender gap. Education. positively correlates with financial literacy. Recommendations include interventions like financial seminars, collaboration with regulators, and destigmatizing money talks at home to enhance financial literacy and bridge gaps. 2024 by IGI Global. All rights reserved.
Creator
An entity primarily responsible for making the resource
Patil A.; Niranjan L.R.; Patavardhan R.; Jain V.
Source
A related resource from which the described resource is derived
Contemporary Research and Practices for Promoting Financial Literacy and Sustainability, pp. 113-146.
Publisher
An entity responsible for making the resource available
IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/979-8-3693-0863-9.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-0863-9.ch005</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204521168&doi=10.4018%2F979-8-3693-0863-9.ch005&partnerID=40&md5=6e307a8ec7d60f5150d64ac6239ce4b9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204521168&doi=10.4018%2f979-8-3693-0863-9.ch005&partnerID=40&md5=6e307a8ec7d60f5150d64ac6239ce4b9</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-836930864-6; 979-836930863-9
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A., Christ University, India; Niranjan L.R., Christ University, India; Patavardhan R., Christ University, India; Jain V., Christ University, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Role of ICT in economic empowerment of women by being an effective facilitator for women entrepreneurship
Description
An account of the resource
Information and communication technology (ICT) is steadily gaining dominance over other channels as a standalone medium for gaining and sharing knowledge, hybrid working environment, network strengthening and funding, business collaborations, new venture set-up, marketing and branding. ICT being most effectively featured with accessibility and omnipresence has been capable of empowering a lot of developing and talent-rich areas, and women empowerment is one among them. This chapter makes an attempt to bring out the efficient role played by ICT in enhancing the lifestyle of women. It proposes to provide a detailed description of how ICT has empowered women, and entrepreneurs, to set up and develop their business ventures giving them access to required resources and making them more competent through information and wider access to the market. This chapter presents its findings based on a systematic review of different case analyses by using secondary data. The findings will be also supported by the evidence and information gathered from credible reports, articles, and publications. 2023, IGI Global.
Creator
An entity primarily responsible for making the resource
Patil A.; Prathibha Raj M.S.; Thomas R.; Sarkar B.
Source
A related resource from which the described resource is derived
ICT as a Driver of Women's Social and Economic Empowerment, pp. 77-101.
Publisher
An entity responsible for making the resource available
IGI Global
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.4018/978-1-6684-6118-1.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-6118-1.ch006</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162923529&doi=10.4018%2F978-1-6684-6118-1.ch006&partnerID=40&md5=de50a32a2a9b45b3d7b8b9a5b9c8b76b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162923529&doi=10.4018%2f978-1-6684-6118-1.ch006&partnerID=40&md5=de50a32a2a9b45b3d7b8b9a5b9c8b76b</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-166846119-8; 1668461188; 978-166846118-1
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A., CHRIST University (Deemed), India; Prathibha Raj M.S., CHRIST University (Deemed), India; Thomas R., CHRIST University (Deemed), India; Sarkar B., CHRIST University (Deemed), India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
An integrated framework for digitalization of humanitarian supply chains in post COVID-19 era
Subject
The topic of the resource
Digitalization; Humanitarian supply chain; Neutrosophic DEMATEL; Post COVID-19; Principal component analysis
Description
An account of the resource
Digital Supply Chains (DSCs) are transforming industries across various domains. Digitalization can improve coordination, increase data collection and retention capacities, enhance funding mechanisms, and improve operational performance and resource utilization. However, DSC adoption is constrained by lack of funding, operational complexities, infrastructure issues, etc. Thus, the need emerges to explore the digitalization of the Humanitarian Supply Chain (HSC) and provide solutions that can ease the adoption of DSC. In this study, a framework is created to facilitate the digitalization process of HSC in post COVID-19 era. Nineteen related drivers are identified with the potential to digitalize the HSC. The drivers are identified from the previous literature and finalized with the assistance of HSC stakeholders. A Principal Component Analysis is carried out to discover the most pertinent drivers from the identified list of drivers. A Kappa analysis is adopted to perfect the priority map of the digitalization drivers. Further, the neutrosophic DEMATEL methodology is adopted to prioritize the potential drivers and find their dependency on each other. The results from the study indicate that the most influential drivers fall under the operational and technological categories. However, the social drivers have the potential to play a significant contribution in an effort to HSC digitalization. In addition, the study presents strategies for enhancing funds collection and data management using emerging technologies. These strategies can assist HSC decision-makers in formulating relevant policies and strategic interventions. 2023 Elsevier Ltd
Creator
An entity primarily responsible for making the resource
Patil A.; Shardeo V.; Dwivedi A.; Paul S.K.
Source
A related resource from which the described resource is derived
International Journal of Disaster Risk Reduction, Vol-87
Publisher
An entity responsible for making the resource available
Elsevier Ltd
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.ijdrr.2023.103574" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijdrr.2023.103574</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147880035&doi=10.1016%2Fj.ijdrr.2023.103574&partnerID=40&md5=db7ce3a8269f7b407e7489253b4f2bdf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147880035&doi=10.1016%2fj.ijdrr.2023.103574&partnerID=40&md5=db7ce3a8269f7b407e7489253b4f2bdf</a>
Rights
Information about rights held in and over the resource
All Open Access; Bronze Open Access
Relation
A related resource
ISSN: 22124209
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A., Christ University, Bengaluru, India; Shardeo V., Lal Bahadur Shastri Institute of Management, New Delhi, India; Dwivedi A., Jindal Global Business School, O.P. Jindal Global University, Sonipat, India; Paul S.K., UTS Business School, University of Technology Sydney, Sydney, Australia
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Digital twins' readiness anditsimpacts on supply chaintransparency andsustainable performance
Subject
The topic of the resource
Digital twins technology; Supply chain; Sustainable performance; Transparency
Description
An account of the resource
Purpose: Production systems occupy geographically dispersed organizations with limited visibility and transparency. Such limitations create operational inefficiencies across the Supply Chain (SC). Recently, researchers have started exploring applications of Digital Twins Technology (DTT) to improve SC operations. In this context, there is a need to provide comprehensive theoretical knowledge and frameworks to help stakeholders understand the adoption of DTT. This study aims to fulfill the research gap by empirically investigating DTT readiness to enable transparency in SC. Design/methodology/approach: A comprehensive literature survey was conducted to develop a theoretical model related to Supply Chain Transparency (SCT) and DTT readiness. Then, a questionnaire was developed based on the proposed theoretical model, and data was collected from Indian manufacturers. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural EquationModelling (SEM) to confirm the proposed relationships. Findings: The findings from the study confirmed a positive relationship between DTT implementation and SCT. This study reported that data readiness, perceived values and benefits of DTT, and organizational readiness and leadership support influence DTT readiness and further lead to SCT. Originality/value: This study contributes to the literature and knowledge by uniquely mapping and validating various interactions between DTT readiness and sustainable SC performance. 2024, Emerald Publishing Limited.
Creator
An entity primarily responsible for making the resource
Patil A.; Srivastava S.; Paul S.K.; Dwivedi A.
Source
A related resource from which the described resource is derived
Industrial Management and Data Systems, Vol-124, No. 8, pp. 2532-2566.
Publisher
An entity responsible for making the resource available
Emerald Publishing
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1108/IMDS-10-2023-0767" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/IMDS-10-2023-0767</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196487226&doi=10.1108%2FIMDS-10-2023-0767&partnerID=40&md5=e89e7723e8190d7ade4cd2d49a7aa37c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196487226&doi=10.1108%2fIMDS-10-2023-0767&partnerID=40&md5=e89e7723e8190d7ade4cd2d49a7aa37c</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 2635577; CODEN: IMDSD
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A., International Management Institute, New Delhi, India; Srivastava S., Christ University, Bangalore, India; Paul S.K., UTS Business School, University of Technology Sydney, Sydney, Australia; Dwivedi A., Jindal Global Business School, Jindal Global University, OP, Sonipat, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
A Study of Segmentation Techniques to Detect Leukaemia in Microscopic Blood Smear Images
Subject
The topic of the resource
Active contour; Acute lymphoblastic Leukemia; Artificial neural network; Fuzzy c-mean; Image segmentation; k-means; Region growing; Thresholding; watershed
Description
An account of the resource
In medical image processing, the segmentation of the image is considered to be a vital stage and is effectively used to extract the region of interest. Automated diagnosis of leukaemia is highly associated with the accurate segmentation of the cell nucleus. The purpose of this paper is to review and analyze literature related to some of the major segmentation techniques used in the field of Acute lymphoblastic leukaemia (ALL) detection. This paper presents an overview of segmentation methods along with the experimental results of six implemented methods and highlights some of the advantages and disadvantages of implemented segmentation techniques. 2020 IEEE.
Creator
An entity primarily responsible for making the resource
Patil A.P.
Source
A related resource from which the described resource is derived
Proceedings of the 2020 IEEE International Conference on Communication, Computing and Industry 4.0, C2I4 2020
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2020-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/C2I451079.2020.9368928" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/C2I451079.2020.9368928</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103257914&doi=10.1109%2FC2I451079.2020.9368928&partnerID=40&md5=c1b1abc1f7f4993818a77a31118ada98" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103257914&doi=10.1109%2fC2I451079.2020.9368928&partnerID=40&md5=c1b1abc1f7f4993818a77a31118ada98</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-172818312-1
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India, Department of Computer Application, CMR Institute of Technology, Bengaluru, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Acute Leukemia Subtype Recognition in Blood Smear Images with Machine Learning
Subject
The topic of the resource
Acute Leukemia; cell analysis; Image processing; Leukemia Classification; Segmentation
Description
An account of the resource
Acute leukemia is a swiftly progressing blood cancer affecting white blood cells which poses a significant threat to the immune system and often leads to fatal outcomes if not detected and treated promptly. The current manual diagnostic method, being time-consuming and prone to errors, necessitates an urgent shift toward a comprehensive automated system. This paper presents an innovative approach to automatically identify acute leukemia cells and their subtypes by analyzing microscopic blood smear images. The proposed methodology involves the segmentation of clustered lymphocytes, isolation of nuclei, and extraction of diverse features from each nucleus. A random forest classifier is then trained to categorize nuclei into healthy or cancerous, with further precision in classifying cancerous nuclei into specific subtypes. The method achieves an impressive 97% accuracy across all evaluations, holding profound implications for pathologists and medical practitioners in their decision-making processes. 2024, J.J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology. All rights reserved.
Creator
An entity primarily responsible for making the resource
Patil A.P.; Hiremath M.
Source
A related resource from which the described resource is derived
International Journal of Electrical and Computer Engineering Systems, Vol-15, No. 7, pp. 563-570.
Publisher
An entity responsible for making the resource available
J.J. Strossmayer University of Osijek , Faculty of Electrical Engineering, Computer Science and Information Technology
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.32985/ijeces.15.7.2" target="_blank" rel="noreferrer noopener">https://doi.org/10.32985/ijeces.15.7.2</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199139463&doi=10.32985%2Fijeces.15.7.2&partnerID=40&md5=9bd641d0c97f8c41adb4912167c1d886" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199139463&doi=10.32985%2fijeces.15.7.2&partnerID=40&md5=9bd641d0c97f8c41adb4912167c1d886</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 18476996
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Hiremath M., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Segment Anything Model (SAM) to Segment lymphocyte from Blood Smear Images
Subject
The topic of the resource
Deep learning; Lymphocyte; Segment Anything Model; Segmentation; white blood cells
Description
An account of the resource
Automated lymphocyte segmentation from smear images plays an important role in disease diagnosis and monitoring, aiding in the assessment of immune system function and pathology detection. This study proposes an approach for lymphocyte segmentation utilizing Segment Anything Model (SAM) which is a deep learning model. Our method leverages a pre trained SAM architecture and fine-tunes it on a custom dataset comprising smear images containing lymphocytes. The pretrained model's ability of versatile segmentation combined with fine-tuning on the specific dataset enhances its performance in accurately identifying lymphocyte boundaries. We evaluate the proposed approach on a diverse set of smear images, demonstrating its effectiveness in segmenting lymphocytes with impressive IOU score and Dice Score. SAM deep learning model, fine-tuned on custom datasets, holds promise for robust and efficient lymphocyte segmentation from blood smear images. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Patil A.P.; Hiremath M.
Source
A related resource from which the described resource is derived
2024 IEEE 3rd World Conference on Applied Intelligence and Computing, AIC 2024, pp. 1080-1084.
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/AIC61668.2024.10730867" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIC61668.2024.10730867</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210268951&doi=10.1109%2FAIC61668.2024.10730867&partnerID=40&md5=36cc6adea1bbf1eee90d6f1b7b2f1179" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210268951&doi=10.1109%2fAIC61668.2024.10730867&partnerID=40&md5=36cc6adea1bbf1eee90d6f1b7b2f1179</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835038459-8
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A.P., Christ (Deemed to Be University), Department of Computer Science, India, Cmr Institute of Technology, Department of Computer Application, Bengaluru, India; Hiremath M., Christ (Deemed to Be University), Department of Computer Science, Bengaluru, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Machine Learning Model to Detect Chronic Leukemia in Microscopic Blood Smear Images
Subject
The topic of the resource
Chronic lymphocytic Leukemia; Chronic Myeloid Leukemia; image processing; Machine Learning; Random Forest; Watershed Segmentation
Description
An account of the resource
Chronic leukemia is a slow-progressing form of disease, If not diagnosed on time can progress and increase the risk of life-threatening complications. It is essential to develop a fully automated system to recognize and categorize type of leukemia for proper evaluation and treatment. This paper aims to provide a machine learning model to identify and classify chronic lymphocytic leukemia, chronic myeloid Leukemia and healthy cells. Digital microscopic blood smear images were automatically cropped into single nucleus and segmented using watershed algorithm. Grey level co-occurrence matrix (GLCM) and geometrical features were extracted from the segmented nucleus images and random forest algorithm is used to classify chronic leukemia and healthy cells. This prognosis aids pathologists and physicians in identifying leukemic patients early and selecting the most effective course of action. 2023 IEEE.
Creator
An entity primarily responsible for making the resource
Patil A.P.; Hiremath M.
Source
A related resource from which the described resource is derived
Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/InC457730.2023.10263162" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263162</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174701641&doi=10.1109%2FInC457730.2023.10263162&partnerID=40&md5=918691ff40eb37570999c490e42ee28c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174701641&doi=10.1109%2fInC457730.2023.10263162&partnerID=40&md5=918691ff40eb37570999c490e42ee28c</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835033577-4
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A.P., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, India; Hiremath M., CMR Institute of Technology, Department of Computer Application, Bengaluru, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
A Study of Preprocessing Techniques on Digital Microscopic Blood Smear Images to Detect Leukemia
Subject
The topic of the resource
Bilateral; Gaussian; Leukemia; Median; Noise reduction; Wiener
Description
An account of the resource
Digital microscopic blood smear images can get distorted due to the noise as a result of excessive staining during slide preparation or external factors during the acquisition of images. Noise in the image can affect the output of further steps in image processing and can have an impact on the accuracy of results. Hence, it is always better to denoise the image before feeding it to the automatic diagnostic system. There are many noise reduction filters available; the selection of the best filter is also very important. This paper presents a comparative study of some common spatial filters like wiener filter, bilateral filter, Gaussian filter, median filter and mean filter which are efficient in noise reduction, along with their summary and experimental results. Performing comparative analysis of result based on PSNR, SNR and MSE values, it can be determined that median filter is most suitable method for denoising digital blood smear images. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
An entity primarily responsible for making the resource
Patil A.P.; Hiremath M.; Kavipriya K.
Source
A related resource from which the described resource is derived
Lecture Notes in Networks and Systems, Vol-462, pp. 275-282.
Publisher
An entity responsible for making the resource available
Springer Science and Business Media Deutschland GmbH
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-981-19-2211-4_24" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2211-4_24</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135004569&doi=10.1007%2F978-981-19-2211-4_24&partnerID=40&md5=8b57da76c479fc1e04592fa7b64efc31" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135004569&doi=10.1007%2f978-981-19-2211-4_24&partnerID=40&md5=8b57da76c479fc1e04592fa7b64efc31</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 23673370; ISBN: 978-981192210-7
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil A.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India, Department of Computer Application, CMR Institute of Technology, Bengaluru, India; Hiremath M., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Kavipriya K., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India