553
20
16481
-
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
Faculty Publications
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/.
Creator
An entity primarily responsible for making the resource
Diwakar, Richa; Wadhwa, Ritu; Raman, T.V.; Srivastava, Anubha; Gowri Shankar, R.; Jain, Piyush Kumar
Title
A name given to the resource
Non-Accounting Drivers of Forensic Accounting Techniques: Insights from PLS-SEM Analysis
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Theoretical and Practical Research in the Economic Fields;Volume;16;Issue;1;pp.182-193
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.14505/tpref.v16.1(33).15" target="_blank" rel="noreferrer noopener">https://doi.org/10.14505/tpref.v16.1(33).15</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105001946314?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001946314?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Diwakar R., Amity College of Commerce and Finance, Amity University, Noida, India; Wadhwa R., Amity Business School, Amity University, Noida, India; Raman T.V., Birla Institute of Management and Technology, Greater Noida, India; Srivastava A., School of Business and Management, Christ University, Bengaluru, India; Gowri Shankar R., Christ University, Bengaluru, India; Jain P.K., Christ University, Bengaluru, India
Description
An account of the resource
Forensic accounting techniques are pivotal in combating financial fraud and enhancing corporate governance. According to Forensic Accounting Theory, both accounting and non-accounting factors influence the intention to adopt these techniques. This study explores the impact of key non-accounting factors i.e. Bonus Contract, Anonymity, and Collapse Avoidance on adoption of forensic accounting techniques by the practitioners, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) and SmartPLS software. Data was collected from professionals across diverse industries utilising forensic accounting services. The results reveal that these non-accounting factors exert varying levels of influence on adoption intentions. This research enriches the existing body of knowledge by offering new perspectives on the role of non-accounting drivers in forensic accounting adoption, providing actionable insights for policy-makers, regulators, and corporate leaders. 2025 The Author(s).
Subject
The topic of the resource
anonymity; bonus contract; collapse avoidance; forensic accounting; forensic accounting theory; non-accounting drivers; PLS-SEM
Publisher
An entity responsible for making the resource available
ASERS Publishing House
Relation
A related resource
ISSN: 20687710;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
Information about rights held in and over the resource
All Open Access; Hybrid Gold Open Access
Format
The file format, physical medium, or dimensions of the resource
online
-
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
Non-Alcoholic Fatty Liver Disease Prediction with Feature Optimized XGBoost Model
Subject
The topic of the resource
Fatty Liver Diseases; Kaggle; Machine Learning Model; NAFLD; Prediction Model; Support Vector Machines
Description
An account of the resource
Non-alcoholic fatty liver disease (NAFLD) is an expanding health threat, posing significant risks for long-term complications. Early detection and intervention are crucial, but traditional diagnostic methods can be expensive and invasive.This study investigates the utilization of machine learning models for predicting liver diseases from various out-sourced datasets..We employed Decision Trees, Random Forests, and Support Vector Machines (SVMs) to predict NAFLD based on various clinical and demographic features. Model performance was evaluated by calculating accuracy, precision,deviation and accuracy-score.All these models achieved promising accuracy levels, ranging from 80% to 90%, showcasing their potential for NAFLD prediction. Among them, XG-Boost demonstrated the highest performance, with an accuracy of 90% and more.This study demonstrates the effectiveness of machine learning models in predicting NAFLD with high accuracy using readily available data. Further research with larger sized and more varied datasets will vindicate these models for real-world application in clinical settings. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Rout A.; Mishra S.; Sharma V.; Chiadika O.D.-M.; Tonukari T.T.; Iwendi C.
Source
A related resource from which the described resource is derived
4th International Conference on Innovative Practices in Technology and Management 2024, ICIPTM 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/ICIPTM59628.2024.10563859" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIPTM59628.2024.10563859</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197663928&doi=10.1109%2FICIPTM59628.2024.10563859&partnerID=40&md5=e617cb82f960b6acdfed86c6b2626556" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197663928&doi=10.1109%2fICIPTM59628.2024.10563859&partnerID=40&md5=e617cb82f960b6acdfed86c6b2626556</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835030775-7
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
Rout A., Kalinga Institute of Industrial Technology, Odisha, India; Mishra S., Kalinga Institute of Industrial Technology, Odisha, India; Sharma V., Kalinga Institute of Industrial Technology, India; Chiadika O.D.-M., Christ (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Tonukari T.T., Electronic and Computer Engineering Brunel University, London, United Kingdom; Iwendi C., University of Bolton, School of Creative Technologies, United Kingdom
-
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
Non-Antibacterial Carbon Nanoparticles and Its Fluorescence Properties
Description
An account of the resource
Highly fluorescent carbon nanoparticles are synthesized from corn starch via one-pot hydrothermal method. Upon treatment with the lime juice as the catalyst, carbon nanoparticles are functionalized with potassium, and an improvement in the luminescence behavior is also observed. The synthesized nanoparticles did not exhibit any antibacterial activity against gram-positive (Staphylococcus aureus, Bacillus subtilis) and gram-negative (Pseudomonas fluorescence, E.coli) bacteria. The excellent photoluminescence coupled with non-toxic behaviour of the carbon nanoparticles would be best suited for biomedical applications. The Electrochemical Society
Creator
An entity primarily responsible for making the resource
Johnson A.; Santhosh D.; Thomas R.; Elcey C.; Manoj B.
Source
A related resource from which the described resource is derived
ECS Transactions, Vol-107, No. 1, pp. 9015-9022.
Publisher
An entity responsible for making the resource available
Institute of Physics
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/10.1149/10701.9015ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.9015ecst</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130574617&doi=10.1149%2F10701.9015ecst&partnerID=40&md5=446e97328dbc39a9f2a2d28beb1e37a9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130574617&doi=10.1149%2f10701.9015ecst&partnerID=40&md5=446e97328dbc39a9f2a2d28beb1e37a9</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 19386737; ISBN: 978-160768539-5
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
Johnson A., Department of Physics, CHRIST (Deemed to be University), Karnataka, 560029, India; Santhosh D., Department of Physics, CHRIST (Deemed to be University), Karnataka, 560029, India; Thomas R., Department of Physics, CHRIST (Deemed to be University), Karnataka, 560029, India; Elcey C., Department of Lifesciences, Kristujayanthi College, Karnataka, 560077, India; Manoj B., Department of Physics, CHRIST (Deemed to be University), Karnataka, 560029, India
-
https://archives.christuniversity.in/files/original/85f85f7de14931ca1c51720859b5849b.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
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
Non-contact oximeter cum thermometer /
Subject
The topic of the resource
Bio-Medical Engineering
Description
An account of the resource
Patent Number: 202241009488, Applicant: Jyothi Thomas.
The invention pertains to the field of Covid-19 Equipment. The invention uses non-contact sensors to measure Sp02 level and human body temperature. The Invention can be classified under the Covid-19 as it includes sensors to identify an infected person. The objective of the invention was to tackle the problem of the detection of an infected Person in crowded places without having contact with devices. The basic idea behind the invention was to check the oxygen level as well as the temperature of a person without having contact with the devices used.
Creator
An entity primarily responsible for making the resource
Thomas, Jyothi.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1K_3idJbT-qYCf9oUcJ_CyTL0QZgvLyHH/view" target="_blank" title="Non-contact oximeter cum thermometer /" rel="noreferrer noopener">https://drive.google.com/file/d/1K_3idJbT-qYCf9oUcJ_CyTL0QZgvLyHH/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-18
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/b9ed8cc96bb2322fdcff6c2f44b716f6.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
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
Non-contact oximeter cum thermometer /
Subject
The topic of the resource
Bio-Medical Engineering
Description
An account of the resource
Patent Number: 202241009488, Applicant: Jyothi Thomas.
The invention pertains to the field of Covid-19 Equipment. The invention uses non-contact sensors to measure Sp02 level and human body temperature. The Invention can be classified under the Covid-19 as it includes sensors to identify an infected person. The objective of the invention was to tackle the problem of the detection of an infected Person in crowded places without having contact with devices. The basic idea behind the invention was to check the oxygen level as well as the temperature of a person without having contact with the devices used.
Creator
An entity primarily responsible for making the resource
B J, Bejoy.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1K_3idJbT-qYCf9oUcJ_CyTL0QZgvLyHH/view" target="_blank" title="Non-contact oximeter cum thermometer /" rel="noreferrer noopener">https://drive.google.com/file/d/1K_3idJbT-qYCf9oUcJ_CyTL0QZgvLyHH/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-05-18
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
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
Non-Contact Vital Prediction Using rPPG Signals
Subject
The topic of the resource
Convolutional neural networks; Deep learning; Facial expression recognition; Machine learning; Remote photoplethysmography
Description
An account of the resource
In this paper, we present the clinical significance of various cardiac symptoms with the use of heart rate detection, ongoing monitoring and present emotions. The development of algorithms for remote photoplethysmography has drawn a lot of interest during the past decade (rPPG). As a result, using data gathered from the video feed, we can now precisely follow the heart rate of individuals who are still seated. rPPG algorithms have also been developed, in addition to technique based on hand-crafted characteristics. Deep learning techniques often need a lot of data to train on, but biomedical data frequently lacks real-world examples. The experiment described in this work, we looked at how illumination affected the rPPG signals' SNR. The findings show that the SNR in each RGB channel varies depending on the colour of the light source. Paper describes development in video filtering for recognising the comprehending human face emotions. In our method, emotions are deduced by identifying facial landmarks and analysing their placement. 2023 IEEE.
Creator
An entity primarily responsible for making the resource
Madhu M.; Gurudas V.R.; Manjunath C.; Naik P.; Kulkarni P.
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/InC457730.2023.10263027" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263027</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174676842&doi=10.1109%2FInC457730.2023.10263027&partnerID=40&md5=1cce7af802d499de9ed7ebf73fb153f7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174676842&doi=10.1109%2fInC457730.2023.10263027&partnerID=40&md5=1cce7af802d499de9ed7ebf73fb153f7</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
Madhu M., CHRIST(Deemed to Be University), School of Engineering and Technology, Department of Computer Science and Engineering, Bangalore, India; Gurudas V.R., CHRIST(Deemed to Be University), School of Engineering and Technology, Department of Computer Science and Engineering, Bangalore, India; Manjunath C., CHRIST(Deemed to Be University), School of Engineering and Technology, Department of Computer Science and Engineering, Bangalore, India; Naik P.; Kulkarni P., Dayananda Sagar University, Department of Computer Science and Engineering, 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
Non-destructive classification of diversely stained capsicum annuum seed specimens of different cultivars using near-infrared imaging based optical intensity detection
Subject
The topic of the resource
Capsicum annuum; Depth scan analysis; Dye staining; Swept-source OCT
Description
An account of the resource
The non-destructive classification of plant materials using optical inspection techniques has been gaining much recent attention in the field of agriculture research. Among them, a near-infrared (NIR) imaging method called optical coherence tomography (OCT) has become a well-known agricultural inspection tool since the last decade. Here we investigated the non-destructive identification capability of OCT to classify diversely stained (with various staining agents) Capsicum annuum seed specimens of different cultivars. A swept source (SS-OCT) system with a spectral band of 1310 nm was used to image unstained control C. annuum seeds along with diversely stained Capsicum seeds, belonging to different cultivar varieties, such as C. annuum cv. PR Ppareum, C. annuum cv. PR Yeol, and C. annuum cv. Asia Jeombo. The obtained cross-sectional images were further analyzed for the changes in the intensity of back-scattered light (resulting due to dye pigment material and internal morphological variations) using a depth scan profiling technique to identify the difference among each seed category. The graphically acquired depth scan profiling results revealed that the control specimens exhibit less back-scattered light intensity in depth scan profiles when compared to the stained seed specimens. Furthermore, a significant back-scattered light intensity difference among each different cultivar group can be identified as well. Thus, the potential capability of OCT based depth scan profiling technique for non-destructive classification of diversely stained C. annum seed specimens of different cultivars can be sufficiently confirmed through the proposed scheme. Hence, when compared to conventional seed sorting techniques, OCT can offer multipurpose advantages by performing sorting of seeds in respective to the dye staining and provides internal structural images non-destructively. 2018 by the authors. Licensee MDPI, Basel, Switzerland.
Creator
An entity primarily responsible for making the resource
Manattayil J.K.; Ravichandran N.K.; Wijesinghe R.E.; Shirazi M.F.; Lee S.-Y.; Kim P.; Jung H.-Y.; Jeon M.; Kim J.
Source
A related resource from which the described resource is derived
Sensors (Switzerland), Vol-18, No. 8
Publisher
An entity responsible for making the resource available
MDPI AG
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="https://doi.org/10.3390/s18082500" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/s18082500</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052081683&doi=10.3390%2Fs18082500&partnerID=40&md5=940b71361b1a595609cf3754578fbb3a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052081683&doi=10.3390%2fs18082500&partnerID=40&md5=940b71361b1a595609cf3754578fbb3a</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access; Green Open Access
Relation
A related resource
ISSN: 14248220; PubMed ID: 30071634
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
Manattayil J.K., Department of Electronics and Communication, Faculty of Engineering, Christ (Deemed to be University), Bangalore, 560029, India; Ravichandran N.K., Kyungpook National University, College of IT Engineering, School of Electronics Engineering, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Wijesinghe R.E., Department of Biomedical Engineering, College of Engineering, Kyungil University, 50, Gamasil-gil, Hayang-eup, Gyeongsan-si, 38428, Gyeongsangbuk-do, South Korea; Shirazi M.F., Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria; Lee S.-Y., School of Applied Biosciences, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Kim P., Institute of Biomedical Engineering, Kyungpook National University, 680, Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea; Jung H.-Y., School of Applied Biosciences, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Jeon M., Kyungpook National University, College of IT Engineering, School of Electronics Engineering, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Kim J., Kyungpook National University, College of IT Engineering, School of Electronics Engineering, 80, Daehak-ro, Buk-gu, Daegu, 41566, South Korea
-
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
Non-destructive silkworm pupa gender classification with X-ray images using ensemble learning
Subject
The topic of the resource
AdaBoost; Gender classification; Machine learning; Sericulture; Stratified k-fold cross-validation
Description
An account of the resource
Sericulture is the process of cultivating silkworms for the production of silk. High-quality production of silk without mixing with low quality is a great challenge faced in the silk production centers. One of the possibilities to overcome this issue is by separating male and female cocoons before extracting silk fibers from the cocoons as male cocoon silk fibers are finer than females. This study proposes a method for the classification of male and female cocoons with the help of X-ray images without destructing the cocoon. The study used popular single hybrid varieties FC1 and FC2 mulberry silkworm cocoons. The shape features of the pupa are considered for the classification process and were obtained without cutting the cocoon. A novel point interpolation method is used for the computation of the width and height of the cocoon. Different dimensionality reduction methods are employed to enhance the performance of the model. The preprocessed features are fed to the powerful ensemble learning method AdaBoost and used logistic regression as the base learner. This model attained a mean accuracy of 96.3% for FC1 and FC2 in cross-validation and 95.3% in FC1 and 95.1% in FC2 for external validation. 2022 The Authors
Creator
An entity primarily responsible for making the resource
Thomas S.; Thomas J.
Source
A related resource from which the described resource is derived
Artificial Intelligence in Agriculture, Vol-6, pp. 100-110.
Publisher
An entity responsible for making the resource available
KeAi Communications Co.
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.aiia.2022.08.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.aiia.2022.08.001</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135823686&doi=10.1016%2Fj.aiia.2022.08.001&partnerID=40&md5=e8655d0b612b88b36fc148b5550a0d60" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135823686&doi=10.1016%2fj.aiia.2022.08.001&partnerID=40&md5=e8655d0b612b88b36fc148b5550a0d60</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access
Relation
A related resource
ISSN: 25897217
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
Thomas S., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India; Thomas J., Department of Computer Science and Engineering, Christ (Deemed to be 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
Non-enzymatic electrochemical determination of progesterone using carbon nanospheres from onion peels coated on carbon fiber paper
Description
An account of the resource
A simple electrochemical sensor was developed by coating Onion peel wastes derived carbon nanospheres on carbon fiber paper (CFP) electrode. Carbon nanospheres (CNS) were prepared from Onion peels utilizing an environmentally benign and cost-effective strategy. In the present investigation, the obtained carbon nanospheres were coated on carbon fiber paper and the modified electrodes were physicochemically characterized by Field emission scanning electron microscopy (FESEM) with energy-dispersive X-ray spectroscopy (EDS), X-ray diffraction (XRD) spectroscopy and X-ray photoelectron spectroscopy (XPS) techniques. Electrochemical characterizations of the modified electrodes were done by Cyclic voltammetry (CV) and Electrochemical impedance spectroscopy (EIS). CNS modified CFP electrode was successfully used in the determination of Progesterone, an important steroid hormone at an ultra-nanomolar level with superior detection limit of 0.012 nM. The developed electrochemical sensor was effectively utilized for the determination of Progesterone in pharmaceutical Progesterone injections, human blood serum samples and cow milk samples. 2019 The Electrochemical Society.
Creator
An entity primarily responsible for making the resource
Akshaya K.B.; Bhat V.S.; Varghese A.; George L.; Hegde G.
Source
A related resource from which the described resource is derived
Journal of the Electrochemical Society, Vol-166, No. 13, pp. B1097-B1106.
Publisher
An entity responsible for making the resource available
Electrochemical Society Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2019-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1149/2.0251913jes" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/2.0251913jes</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073693779&doi=10.1149%2F2.0251913jes&partnerID=40&md5=1555c992f45e9e7b5646b6bdccc87cf5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073693779&doi=10.1149%2f2.0251913jes&partnerID=40&md5=1555c992f45e9e7b5646b6bdccc87cf5</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 134651; CODEN: JESOA
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
Akshaya K.B., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Bhat V.S., Centre for Nano-materials and Displays, B.M.S. College of Engineering, Bengaluru, 560019, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; George L., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Hegde G., Centre for Nano-materials and Displays, B.M.S. College of Engineering, Bengaluru, 560019, 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
Non-enzymatic electrochemical determination of salivary cortisol using ZnO-graphene nanocomposites
Description
An account of the resource
Electrochemically deposited ZnO nanoparticles on a pencil graphite electrode (PGE) coated with graphene generate a noteworthy conductive and selective electrochemical sensing electrode for the estimation of cortisol. Electrochemical techniques such as cyclic voltammetry (CV) analysis and electrochemical impedance spectroscopic (EIS) tests were adopted to analyze and understand the nature of the modified sensor. Surface morphological analysis was done using various spectroscopic and microscopic techniques like X-ray photoelectron spectroscopy (XPS), transmission electron microscopy (TEM), and scanning electron microscopy (SEM). Structural characterization was conducted by X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). The effect of scan rate, concentration, and cycle numbers was optimized and reported. Differential pulse voltammetric (DPV) analysis reveals that the linear range for the detection of cortisol is 5 10-10M - 115 10-10 M with a very low-level limit of detection value (0.15 nM). The demonstrated methodology has been excellently functional for the determination of salivary cortisol non-enzymatically at low-level concentration with enhanced selectivity despite the presence of interfering substances. The Royal Society of Chemistry.
Creator
An entity primarily responsible for making the resource
Rison S.; Rajeev R.; Bhat V.S.; Mathews A.T.; Varghese A.; Hegde G.
Source
A related resource from which the described resource is derived
RSC Advances, Vol-11, No. 60, pp. 37877-37885.
Publisher
An entity responsible for making the resource available
Royal Society of Chemistry
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1039/d1ra07366d" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d1ra07366d</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120652046&doi=10.1039%2Fd1ra07366d&partnerID=40&md5=e2ee2ab67950b608297242b5d9f7209e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120652046&doi=10.1039%2fd1ra07366d&partnerID=40&md5=e2ee2ab67950b608297242b5d9f7209e</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access; Green Open Access
Relation
A related resource
ISSN: 20462069; CODEN: RSCAC
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
Rison S., Christ Academy Institute for Advanced Studies, Christ Nagar, Bangalore, 560083, India, Department of Chemistry, Christ (Deemed to Be University), Bangalore, 560029, India; Rajeev R., Department of Chemistry, Christ (Deemed to Be University), Bangalore, 560029, India; Bhat V.S., Centre for Nano-materials and Displays, B.M.S College of Engineering, Bull Temple Road, Bangalore, 560019, India; Mathews A.T., Department of Chemistry, Christ (Deemed to Be University), Bangalore, 560029, India; Varghese A., Department of Chemistry, Christ (Deemed to Be University), Bangalore, 560029, India; Hegde G., Department of Chemistry, Christ (Deemed to Be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), Christ (Deemed to Be University), Bangalore, 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
Faculty Publications
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/.
Creator
An entity primarily responsible for making the resource
Singhal, Abhinav; Tiwari, Rakhi; Chaudhary, Anjali; Vinodkumar, Nisa
Title
A name given to the resource
Non-Fourier thermal transport analysis in the human eye using a dual-phase-lag bioheat framework under environmental exposure
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2026
Source
A related resource from which the described resource is derived
International Communications in Heat and Mass Transfer;Volume;175;Issue;P1;Article No.;111009;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.icheatmasstransfer.2026.111009" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.icheatmasstransfer.2026.111009</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105035598198?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035598198?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Singhal A., Christ University, Bengaluru, 560029, India; Tiwari R., University Department of Mathematics, Babasaheb Bhimrao Ambedkar Bihar University, Bihar, Muzaffarpur, 842002, India; Chaudhary A., Department of Management, College of Business Administration, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh11671, Saudi Arabia; Vinodkumar N., Department of Management, College of Business Administration, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh11671, Saudi Arabia
Description
An account of the resource
Understanding how heat propagates inside the human eye is important for preventing thermal damage during environmental exposure, laser treatments, and biomedical procedures, particularly in hot climates where ocular tissues are vulnerable to temperature rise. Conventional bioheat models based on Fourier heat conduction assume instantaneous heat transfer and may therefore fail to capture delayed thermal responses occurring in heterogeneous biological tissues. The aim of this study is to develop and analytically investigate a dual-phase-lag bioheat model capable of accurately predicting intraocular temperature evolution under combined environmental and physiological thermal loading. Motivated by the need for a more realistic and computationally efficient framework for ocular thermal safety assessmentaligned with Saudi Arabias Vision 2030 goals in healthcare innovation and preventive medicinethis study develops a dual-phase-lag (DPL) bioheat model to analyze heat transport in a multilayer human eye under combined environmental and physiological loading. Closed-form analytical solutions are obtained using normal-mode analysis for all six ocular layers while accounting for convection, evaporation, blood perfusion, and tissue porosity. Results show that the DPL model predicts lower and smoother temperature distributions compared with Fourier and LordShulman models, indicating more physiologically realistic thermal behavior. Ambient temperature and evaporation primarily control heating in anterior eye regions, whereas perfusion and tissue porosity dominate thermal regulation in deeper layers. Sensitivity analysis and thermal-safety maps identify critical combinations of exposure conditions that may increase thermal risk. A surrogate-based reduced-order model is further developed and validated, enabling rapid prediction of intraocular temperature with high accuracy. The study demonstrates that incorporating non-Fourier thermal effects significantly improves prediction of ocular temperature dynamics and provides a practical framework for thermal safety assessment, ophthalmic treatment planning, and climate-adaptive healthcare technologies. 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Subject
The topic of the resource
Analytical normal-mode analysis; Blood perfusion effects; Dual-phase-lag bioheat model; Environmental thermal loading; Evaporative cooling; Multilayer biological tissues; Non-Fourier heat conduction; Ocular thermal transport; Surrogate-based prediction; Thermal safety assessment
Publisher
An entity responsible for making the resource available
Elsevier Ltd
Relation
A related resource
ISSN: 7351933; CODEN: IHMTD
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
Format
The file format, physical medium, or dimensions of the resource
online
-
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
Non-Fungible Token (NFT): Bubble or Future in the World of Block Chain Technology
Subject
The topic of the resource
Bitcoin; Ethereum; NFT; Tokens
Description
An account of the resource
The introduction of blockchain technology entering into human existence, which is a reinforcement of the cryptocurrency space, is both a concern and an opportunity. The main motivation underlying such an invention is conditional transparency and the unmatched ability to protect people against data destruction. The collecting drive of NFTs is profitable and also has sparked curiosity, with everyone vying for the first piece of the package, increasing the future Value of an NFT, as it is a very new topic about NFT using block-chain technology. It is something quite about a flurry of blockchain technological stories that leave us wondering. In this research paper, we explained the new emerging Non-Fungible Token (NFT), its uses, and implications. 2023 American Institute of Physics Inc.. All rights reserved.
Creator
An entity primarily responsible for making the resource
Prathiba L.; Basha M.S.A.; Maheshwari A.; Ranka M.
Source
A related resource from which the described resource is derived
AIP Conference Proceedings, Vol-2821, No. 1
Publisher
An entity responsible for making the resource available
American Institute of Physics 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/10.1063/5.0158419" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0158419</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179802194&doi=10.1063%2F5.0158419&partnerID=40&md5=e2d3d7d2ead7cc7cf170b8a99a4f0a8d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179802194&doi=10.1063%2f5.0158419&partnerID=40&md5=e2d3d7d2ead7cc7cf170b8a99a4f0a8d</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 0094243X; ISBN: 978-073544735-6
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
Prathiba L., Department of MBA, Ashoka Women's Engineering college, Andhra Pradesh, Kurnool, India; Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management (Deemed to be University), Karnataka, Bengaluru, 561203, India; Maheshwari A., Department of Professional Studies, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Ranka M., Department of Commerce, T John college, 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
Faculty Publications
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/.
Creator
An entity primarily responsible for making the resource
Debnath, Jewell; George, Jossy
Title
A name given to the resource
Non-Invasive Detection of Ovarian Cancer using Biosensors Framework with Machine Learning and Federated Learning Techniques
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Proceedings of the 6th International Conference on Smart Electronics and Communication, ICOSEC 2025;pp.529-534
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICOSEC67334.2025.11459750" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOSEC67334.2025.11459750</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037205914?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037205914?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Debnath J., Christ (Deemed To Be University), India; George J., Christ (Deemed To Be University), India
Description
An account of the resource
Ovarian cancer is a leading cause of death worldwide, frequently diagnosed at advanced stages due to the lack of effective early screening methods. This work proposes a non-invasive cancer diagnostics utilizing amperometric electrochemical biosensors in early cancer detection from biological fluids, such as urine-based by combination of specific biomarkers like HE4 and Ca125, which are closely associated with ovarian cancer. This study approach integrates machine learning models to work with biosensor data for cancer classification tasks, and federated learning methods to ensure patient data privacy. The proposed system achieves diagnostic results using a synthetic dataset with over 98% accuracy. This decentralized healthcare solution demonstrates early ovarian cancer detection and improved patient outcomes by combining predictive capability with privacy preservation. 2025 IEEE.
Subject
The topic of the resource
Biosensor; Federated Learning; Machine Learning; Non-invasive method; Ovarian cancer
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833159859-4;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
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
Faculty Publications
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/.
Creator
An entity primarily responsible for making the resource
Debnath, Jewell; George, Jossy
Title
A name given to the resource
Non-Invasive Detection of Ovarian Cancer using Biosensors Framework with Machine Learning and Federated Learning Techniques
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Proceedings of the 6th International Conference on Smart Electronics and Communication, ICOSEC 2025;pp.529-534
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICOSEC67334.2025.11459750" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOSEC67334.2025.11459750</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037205914?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037205914?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Debnath J., Christ (Deemed To Be University), India; George J., Christ (Deemed To Be University), India
Description
An account of the resource
Ovarian cancer is a leading cause of death worldwide, frequently diagnosed at advanced stages due to the lack of effective early screening methods. This work proposes a non-invasive cancer diagnostics utilizing amperometric electrochemical biosensors in early cancer detection from biological fluids, such as urine-based by combination of specific biomarkers like HE4 and Ca125, which are closely associated with ovarian cancer. This study approach integrates machine learning models to work with biosensor data for cancer classification tasks, and federated learning methods to ensure patient data privacy. The proposed system achieves diagnostic results using a synthetic dataset with over 98% accuracy. This decentralized healthcare solution demonstrates early ovarian cancer detection and improved patient outcomes by combining predictive capability with privacy preservation. 2025 IEEE.
Subject
The topic of the resource
Biosensor; Federated Learning; Machine Learning; Non-invasive method; Ovarian cancer
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833159859-4;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
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
PHD
PhD
PhD Thesis
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/.
Relation
A related resource
61000430
Title
A name given to the resource
Non-Invasive Early and Precise Detection of Breast Tumor with Novel UWB Radar Pulse
Subject
The topic of the resource
Electrical and Electronics Engineering
Description
An account of the resource
Impulse Radio Ultra-Wideband is emerging as a superior breast cancer detection technique compared to ultrasound, magnetic resonance newlineimaging and X-ray mammography due to its high resolution, nonionizing radiation, effectiveness in dense tissues and cost-effectiveness. Radar-based Ultra-Wideband technology is a viable, non-invasive newlinetechnique for detecting breast cancer. The Ultra-Wideband signal must be safe to penetrate deep into human breast with minimal attenuation and comply with Federal Communication Commission regulations to newlineensure early, precise detection of deep-rooted malignant tumor inside newlineheterogeneous breast. In this research work, a shaped Ultra-Wideband Gaussian pulse of newlineseventh order is employed in a radar-based breast cancer detection system. A sharp transition bandpass Finite Impulse Response filter is designed in this work for safe, deep penetration and optimal transmission through the heterogeneous breast. The pulse shaper filter design has a sharp transition with a low side lobe level and can be tuned newlineto any variable center frequency. This design is suitable for shaping very short-duration pulses, achieving higher data rate and less newlineinterference issues. Also, the pulse tightly fits the Federal Communication Commission spectral mask, thus achieving higher spectral utilization efficiency and meets the signal safety standards for transmission through the breast. The shaped pulse fed to the antenna of the radar system provides higher antenna radiation efficiency and radiating power due to the concentration of power in the main lobe. This research work employs bistatic and monostatic radar systems to detect the deep-rooted and smallest formation of the malignant tumor in the breast. Tumor detection is based on the time and frequency newlinedomain analysis of the backscattered signals from the malignant tumor. These signals have higher amplitude, higher electric field intensity variations and an increase in the scattering parameter values due to the newlinepresence of tumor.
Creator
An entity primarily responsible for making the resource
Devika, Menon M K
Source
A related resource from which the described resource is derived
Author's Submission
Publisher
An entity responsible for making the resource available
Christ(Deemed to be University)
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Contributor
An entity responsible for making contributions to the resource
Rodrigues, Joseph
Rights
Information about rights held in and over the resource
Open Access
Format
The file format, physical medium, or dimensions of the resource
PDF
Language
A language of the resource
English
Type
The nature or genre of the resource
PhD
Identifier
An unambiguous reference to the resource within a given context
<a href="http://hdl.handle.net/10603/617401" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/617401</a>
-
https://archives.christuniversity.in/files/original/72430ef74d6626224bdfae0397d902a5.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
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
Non-invasive glucometer /
Subject
The topic of the resource
Electronics Engineering
Description
An account of the resource
Patent Number: 201941025125, Applicant: CHRIST (Deemed To Be University)
Creator
An entity primarily responsible for making the resource
Mukherjee, Chandra.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view" target="_blank" title="Non-invasive glucometer /" rel="noreferrer noopener">https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/6ab86076b075ee1b127581f1355c3be6.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
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
Non-invasive glucometer /
Subject
The topic of the resource
Electronics Engineering
Description
An account of the resource
Patent Number: 201941025125, Applicant: CHRIST (Deemed To Be University)
Creator
An entity primarily responsible for making the resource
Jose, Iven.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view" target="_blank" title="Non-invasive glucometer /" rel="noreferrer noopener">https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/124680e4d988b49123e6d7da570a2213.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
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
Non-invasive glucometer /
Subject
The topic of the resource
Electronics Engineering
Description
An account of the resource
Patent Number: 201941025125, Applicant: CHRIST (Deemed To Be University)
Creator
An entity primarily responsible for making the resource
Krishnamurthy, Inbanila.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view" target="_blank" title="Non-invasive glucometer /" rel="noreferrer noopener">https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/480775b0e39fddc560185bb2aa3b6c58.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
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
Non-invasive glucometer /
Subject
The topic of the resource
Electronics Engineering
Description
An account of the resource
Patent Number: 201941025125, Applicant: CHRIST (Deemed To Be University)
Creator
An entity primarily responsible for making the resource
Gajanan, Sushanth.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view" target="_blank" title="Non-invasive glucometer /" rel="noreferrer noopener">https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/9f22e057da539bc430901c1ab41f8ab0.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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
Patents
Subject
The topic of the resource
Patent
Description
An account of the resource
Patent
Patent
Patents
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
Non-invasive glucometer /
Subject
The topic of the resource
Electronics Engineering
Description
An account of the resource
Patent Number: 201941025125, Applicant: CHRIST (Deemed To Be University)
Creator
An entity primarily responsible for making the resource
G, Sushanth.
Source
A related resource from which the described resource is derived
<a href="https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view" target="_blank" title="Non-invasive glucometer /" rel="noreferrer noopener">https://drive.google.com/file/d/1oCIJvronrA2_J39k_przIrbinafOkvia/view</a>
Publisher
An entity responsible for making the resource available
Intellectual Property India
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-05-06
Language
A language of the resource
English
Type
The nature or genre of the resource
Patent