100
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
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
Applications of Classification and Recommendation Techniques to Analyze Soil Data and Water Using IOT
Subject
The topic of the resource
Data analytics; IoT; Soil fertility
Description
An account of the resource
As we are moving to a computerized and scientific world, data becomes an intrinsic part of our life. Agriculture sector is still unorganized with regard to automation and data analytics. This task is accomplished through sensors, data mining and analysis. In this paper, we propose real-time sensors to detect the soil features and predict the suitable crop cultivation using trained dataset. This would help the farmers to predict the type of cultivation to be done depending on the soil features. Today, the farmer can understand what type of cultivation will be prepared in the soil. Also, people of the upcoming generation will be using that sensor, different plant can be make. The cost of cultivation can be improved. Water level of the soil can be easily predicted. Which type of plant will be produced in the different soil can be predicted. So, this new type of cultivation followed by the next generation also. This paper has presented an improved by the pH sensor, water level sensor. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
An entity primarily responsible for making the resource
Thaiyalnayaki S.; Sambandam R.K.; Reddy T.H.S.; Reddy A.H.V.; Sai K.N.; Srinivas V.
Source
A related resource from which the described resource is derived
Smart Innovation, Systems and Technologies, Vol-334, pp. 215-223.
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/10.1007/978-981-19-8497-6_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-8497-6_22</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164934297&doi=10.1007%2F978-981-19-8497-6_22&partnerID=40&md5=39148412a457f824cf2e95481ef9a06d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164934297&doi=10.1007%2f978-981-19-8497-6_22&partnerID=40&md5=39148412a457f824cf2e95481ef9a06d</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 21903018; ISBN: 978-981198496-9
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
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
Thaiyalnayaki S., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, India; Sambandam R.K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India; Reddy T.H.S., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, India; Reddy A.H.V., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, India; Sai K.N., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, India; Srinivas V., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to be University), Selaiyur, Chennai, 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
Applications of Digital Technologies and Artificial Intelligence in Cryptocurrency - A Multi-Dimensional Perspective
Subject
The topic of the resource
blockchain; Cryptocurrency; deep learning; FinTech technologies; hybrid analytics approach; machine learning; security attacks; sensitivity analysis
Description
An account of the resource
The paradigm shift requires spreading the light of decentralized ledger technology, extraordinarily implementing cryptocurrencies, and being visible as a game-changer. Blockchain technology, along with cryptocurrencies like Bitcoin, Ethereum, and Litecoin, is a tool for global economic transformation that is rapidly gaining traction in the finance industry. However, these technologies have had low popularity in the consumer market. Many platforms have been misunderstood and ignored when there is an obvious hole in among them. The basic idea behind cryptocurrency is that it is a network-based, totally virtual exchange medium that utilizes cryptographic algorithms such as Secure Hash Algorithm 2 (SHA-2) and Message Digest 5 (MD5) to secure the data. Transactions within the blockchain era are secure, transparent, traceable, and irreversible. Cryptocurrencies have gained a reputation in practically all sectors, including the monetary sector, due to these properties. The uncertainty and dynamism of their expenses, however, hazard investments substantially despite cryptocurrencies growing popularity amongst approval bodies. Studying cryptocurrency charge prediction is fast becoming a trending subject matter in the global research community. Several device mastering and deep mastering algorithms, like Gated Recurrence Units (GRUs), Neural nets (NNs), and nearly short-term memory, were employed by the scientists to analyze and forecast cryptocurrency prices. As a part of this chapter, we discuss numerous aspects of cryptographic protection and their related issues. Specifically, the research addresses the state-of-the-art by examining the underlying consensus mechanism, cryptocurrency, attack style, and applications of cryptocurrencies from a unique perspective. Secondly, we investigate the usability of blockchain generation by examining the behavioral factors that influence customers decision to use blockchain-based technology. To identify the best crypto mining strategy, the research employs an Analytic Hierarchy Process (AHP) and Fuzzy-TOPSIS hybrid analytics framework. Furthermore, it identifies the top-quality mining methods by evaluating providers overall performance during cryptocurrency mining. 2023 Scrivener Publishing LLC.
Creator
An entity primarily responsible for making the resource
Jaisingh W.; Preethi N.; Kavitha R.K.
Source
A related resource from which the described resource is derived
Fintech and Cryptocurrency, pp. 221-249.
Publisher
An entity responsible for making the resource available
wiley
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/10.1002/9781119905028.ch11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781119905028.ch11</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191468172&doi=10.1002%2F9781119905028.ch11&partnerID=40&md5=8f5873b0ef5c3a386a50ca59a8939ba2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191468172&doi=10.1002%2f9781119905028.ch11&partnerID=40&md5=8f5873b0ef5c3a386a50ca59a8939ba2</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-111990502-8; 978-111990481-6
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
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
Jaisingh W., School of Information Science, Presidency University, Karnataka, Bangalore, India; Preethi N., Department of Data Science, Christ University, Karnataka, Bangalore, India; Kavitha R.K., Department of Computer Applications, Kumaraguru College of Technology, Tamil Nadu, Coimbatore, 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
Applications of Machine Learning and Deep Learning Models in Brain Imaging Analysis
Description
An account of the resource
Brain imaging is an umbrella term including many non-invasive techniques that objectively monitor brain function. Such monitoring leads to understanding how the brain works by presenting selected stimuli. More importantly, brain function monitoring allows physicians to diagnose and predict brain disorders. In the last decade, several machine learning and deep learning models have been developed by researchers to process and analyse brain imaging data for the diagnosis, detection, and prediction of brain disorders, such as stroke, schizophrenia, autism, psychosis, and Alzheimers. This chapter reviews the various applications and properties of machine learning and deep learning models for brain image analysis. The chapter also highlights the deep learning models that have either understood the test of time or shown the promise to solve challenging problems involving brain imaging data. The review also discusses various open issues yet to have practical solutions or methodologies with the help of machine learning and deep learning. The research covers a wide range of imaging modalities, disorders and models to expose researchers and practitioners in neurological disorders and machine learning and deep learning to each others field, hopefully leading to fruitful collaborations and practical solutions for processing brain images. 2024 selection and editorial matter, Anitha S. Pillai and Bindu Menon; individual chapters, the contributors.
Creator
An entity primarily responsible for making the resource
Joseph A.; Chandra J.; Banerjee B.; Rangaswamy M.; Reddy J.K.
Source
A related resource from which the described resource is derived
Machine Learning and Deep Learning in Neuroimaging Data Analysis, pp. 43-56.
Publisher
An entity responsible for making the resource available
CRC Press
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/10.1201/9781003264767-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003264767-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195984713&doi=10.1201%2F9781003264767-3&partnerID=40&md5=96a7fbbecb4d5f3f66f8572903fb4832" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195984713&doi=10.1201%2f9781003264767-3&partnerID=40&md5=96a7fbbecb4d5f3f66f8572903fb4832</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-100381554-9; 978-103219068-6
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
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
Joseph A., Christ University, Pune, India; Chandra J., Christ University, Bangalore, India; Banerjee B., Institute for Intelligent Systems, Department of Electrical & Computer Engineering, University of Memphis, Memphis, TN, United States; Rangaswamy M., Christ University, Bangalore, India; Reddy J.K., 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
Applications of neuroscience in education practices: A research review in cognitive neuroscience
Subject
The topic of the resource
Applications of neuroscience; Brain-based learning; Circadian rhythms; Circadian rhythms and learning; Classroom applications of neuroscience; Education; Modulating teaching practices; Neuroscience; Neuroscientific research; Research in education; Scientific progress for teaching and learning
Description
An account of the resource
The human brain is the most complex and mysterious organ in the body responsible for learning. Applications of neuroscience and genetics need to be comprehended to modulate teaching and learning practices in education. Considering the scope for application of advanced sciences in education practices, this book chapter simplifies and reviews ten critical research findings relevant for students and teachers for classroom applications and for modulating learning patterns for different age groups. The concept is also relevant for parents and the academic fraternity at large. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved.
Creator
An entity primarily responsible for making the resource
Satralkar M.; Cherian J.; Thomas K.A.
Source
A related resource from which the described resource is derived
Neuro-Systemic Applications in Learning, pp. 117-135.
Publisher
An entity responsible for making the resource available
Springer International Publishing
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/10.1007/978-3-030-72400-9_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-72400-9_6</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165586303&doi=10.1007%2F978-3-030-72400-9_6&partnerID=40&md5=eddd326764d8359dca2839bc746c67f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165586303&doi=10.1007%2f978-3-030-72400-9_6&partnerID=40&md5=eddd326764d8359dca2839bc746c67f0</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-303072400-9; 978-303072399-6
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
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
Satralkar M., School of Education, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Cherian J., School of Education, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Thomas K.A., School of Education, Centre for Education Beyond Curriculum (CEDBEC), CHRIST (Deemed to be University), Bengaluru, Karnataka, 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
Applying Artificial Bee Colony Algorithm to Improve UWSNs Communication
Subject
The topic of the resource
Artificial Bee Colony algorithm; bio-inspired optimization; communication reliability; data transmission; energy efficiency; network scalability; Underwater Wireless Sensor Networks
Description
An account of the resource
The research in this study aims at implementing the ABC algorithm to enhance the communication within UWSNs. The ABC algorithm, motivated by the CPG approach being analogous to that of honey bees searching for food, specifies optimal values for critical parameters of the network such as energy consumption, reliability in data transfer, and scalability. From the analyses conducted in this exposition, it is apparent that the envisaged methodology outperforms other conventional routing parlances in the following ways: minimal energy usage, high data delivery ratios, low packet drops, and longest network lifetime. Therefore, from the above results it can be concluded that, the said ABC algorithm is helping in achieving a better result in terms of improved underwater communication as well as in mitigating with the difficulties of UWSNs. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Habelalmateen M.I.; Kaur A.; Tiwari A.; Shalini M.; Victor M.; Kumar N.S.
Source
A related resource from which the described resource is derived
2024 IEEE International Conference on Communication, Computing and Signal Processing, IICCCS 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/IICCCS61609.2024.10763893" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IICCCS61609.2024.10763893</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214395528&doi=10.1109%2FIICCCS61609.2024.10763893&partnerID=40&md5=ce02282c407a3e61a908ba2715797d17" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214395528&doi=10.1109%2fIICCCS61609.2024.10763893&partnerID=40&md5=ce02282c407a3e61a908ba2715797d17</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835039075-9
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
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
Habelalmateen M.I., The Islamic University, College of Technical Engineering, Department of Computers Techniques Engineering, Najaf, Iraq, The Islamic University of Al Diwaniyah, College of Technical Engineering, Department of Computers Techniques Engineering, Al Diwaniyah, Iraq; Kaur A., Chandigarh Group of Colleges, Chandigarh Engineering College, Department of Computer Science Engineering, Punjab, Mohali, India; Tiwari A., Ies College of Technology, Department of Electronics & Communication Engineering, M.P., Bhopal, India; Shalini M., Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, India; Victor M., Christ (Deemed to be University), School of Business and Management, India; Kumar N.S., (E.Tech.) Srm Institute of Science & Technology, Department of Computer Science & Engineering, Chennai, 26, 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
Applying Ensemble Techniques for the Prediction of Alcoholic Liver Cirrhosis
Subject
The topic of the resource
Alcoholic liver disease; Ensemble classifier; Liver cirrhosis; Machine learning; Random forest; Stacked ensemble classifier; XGBoost
Description
An account of the resource
More than fifty percent of all liver cognate deaths are caused by alcoholic liver disease (ALD). Excessive drinking over the time leads to alcohol-related steatohepatitis and fatty liver, this in turn can lead to alcoholic liver fibrosis (ALF) and in due course alcohol-related liver cirrhosis (ALC). Detecting ALD at an early stage will reduce the treatment cost to the patient and reduce mortality. In this research, a two-step model is developed for predicting the liver cirrhosis using different ensemble classifiers. Among 41 features recorded during data collection, only 15 features arefound to be effective determinants of the class variable. The proposed stacked ensemble technique for ALD prediction is compared with other ensemble models such as random forest, AdaBoost, and bagging. Through experimentation, it is observed that the proposed model with XGBoost and decision tree as base models and logistic regression as Meta model exhibits prediction accuracy of 93.86%. The prediction accuracy of theproposed stacked ensemble technique is 0.2% better in prediction accuracy and 0.3% reduced error rate in comparison with random forest classifier. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Creator
An entity primarily responsible for making the resource
Vinutha M.R.; Chandrika J.; Krishnan B.; Kokatnoor S.A.
Source
A related resource from which the described resource is derived
Lecture Notes in Networks and Systems, Vol-462, pp. 433-445.
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_39" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-2211-4_39</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135054733&doi=10.1007%2F978-981-19-2211-4_39&partnerID=40&md5=3d449fa1b83f044f9de0eb133ff157f9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135054733&doi=10.1007%2f978-981-19-2211-4_39&partnerID=40&md5=3d449fa1b83f044f9de0eb133ff157f9</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
Vinutha M.R., Department of ISE, Malnad College of Engineering, Hassan, 573201, India; Chandrika J., Department of ISE, Malnad College of Engineering, Hassan, 573201, India; Krishnan B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Kokatnoor S.A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, 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
Applying talent acquisition to the test: Assessing productivity in facilities organization /
Subject
The topic of the resource
Management
Description
An account of the resource
Pramana Research Journal, Vol.9, Issue 2, pp.197-207, ISSN No: 2249-2976.
Creator
An entity primarily responsible for making the resource
Leena N. Fukey , Mudita Sinha and Rhea Pius
Source
A related resource from which the described resource is derived
<a href="https://www.pramanaresearch.org/gallery/prj-p515.pdf" target="_blank" title="Applying talent acquisition to the test: Assessing productivity in facilities organization" rel="noreferrer noopener">https://www.pramanaresearch.org/gallery/prj-p515.pdf</a>
Publisher
An entity responsible for making the resource available
Pramana Research Journal
Date
A point or period of time associated with an event in the lifecycle of the resource
2019-12-30
Language
A language of the resource
English
Type
The nature or genre of the resource
Journal Article
-
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
Appraisal of prolyl 4-hydroxylase alpha subunit gene polymorphisms in Spondyloepimetaphyseal dysplasia of Handigodu type (SEMDHG)
Subject
The topic of the resource
4-hydroxyproline; Collagen; Handigodu; Prolyl 4-hydroxylase; Spondyloepimetaphyseal dysplasia
Description
An account of the resource
Background: The Handigodu variant of Spondyloepimetaphyseal Dysplasia (SEMDHG) is a severe, progressive osteoarthritic disorder characterized by chronic pain and joint degeneration. Clinically, the disorder presents in three distinct phenotypic forms, each exhibiting varying degrees of stature reduction and disease severity. Urine analysis of affected individuals reveals an elevated peptide-bound proline to 4-hydroxyproline ratio relative to controls, suggesting disruptions in collagen metabolism. Given the critical role of prolyl 4-hydroxylase enzymes in stabilizing collagen structure, this study undertook a comprehensive sequence analysis of all three isoforms of prolyl 4-hydroxylase in both affected and unaffected individuals to elucidate potential molecular underpinnings of the disorder. Method: The entire exonic regions and 2000 base pairs upstream of the translation start sites of the P4HA1, P4HA2, and P4HA3 genes were sequenced in a cohort of 300 individuals, comprising 166 affected and 134 unaffected individuals. Results: Sequence analysis of the ? (I), ? (II), and ? (III) subunit genes identified three novel SNPs and a 39-bp deletion variant, in addition to ten previously reported SNPs catalogued in dbSNP. The SNP rs28384495 in P4HA1, the 39-bp deletion variant, and a novel mutation (SNP3) in P4HA3 exhibited significantly different allele frequencies between patients and controls. Genotype association analysis revealed that SNPs in P4HA1 and P4HA3 were associated with Type 2 and Type 3 HD under various genetic models. Notably, all Type 2 HD patients were heterozygous for the 39-bp deletion, whereas all Type 3 HD patients were homozygous for the variant. Haplotype analysis corroborated the findings of the genotype association analysis. Conclusion: This study is the first to account an association between the P4H gene and disease. Further research is needed to evaluate the functional implications of the identified mutations. 2024
Creator
An entity primarily responsible for making the resource
Venugopal P.N.; Rao I.A.; Mollick S.A.; Chandrasekar A.
Source
A related resource from which the described resource is derived
Human Gene, Vol-43
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
2025-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.humgen.2025.201387" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.humgen.2025.201387</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216883798&doi=10.1016%2Fj.humgen.2025.201387&partnerID=40&md5=de31c42bb8329ff36f32463273975c87" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216883798&doi=10.1016%2fj.humgen.2025.201387&partnerID=40&md5=de31c42bb8329ff36f32463273975c87</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 27730441
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
Venugopal P.N., Anthropological Survey of India, Southern Regional Centre, Karnataka, Mysore, India; Rao I.A., Department of Life Sciences, Christ University, Karnataka, Bengaluru, India; Mollick S.A., Anthropological Survey of India, Southern Regional Centre, Karnataka, Mysore, India; Chandrasekar A., Anthropological Survey of India, Southern Regional Centre, Karnataka, Mysore, 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
Appraisal of the potential of endophytic bacterium Bacillus amyloliquefaciens from Alternanthera philoxeroides: A triple approach to heavy metal bioremediation, diesel biodegradation, and biosurfactant production
Subject
The topic of the resource
Alternanthera philoxeroides; Bacillus amyloliquefaciens; Bioremediation; Biosurfactant, Diesel biodegradation; Endophyte; Heavy metal
Description
An account of the resource
Endophytic microbes have been associated with many positive traits due to their endurance mechanisms. The current study was designed at exploring the potential of the endophytic bacterium Bacillus amyloliquefaciens MEBAphL4 isolated from Alternanthera philoxeroides for biosurfactant production and bioremediation efficiency. This endophyte, isolated from the polluted Madiwala lake in Bangalore, displayed elevated resistance to Cr and Pb till 2000 mg/L. The metal removal efficiency was found to be higher for Cr (25.7 %) at pH 6 and for Pb (92.3 %) at pH 9. Further, the present study also describes biosurfactant production with good emulsification ability (E24-52 %) and stability over a range of pH (8?12), temperature (2040C) and salinity (515 %). Biosurfactant production was enhanced 1.18-fold using the Response Surface Methodology approach and characterised by Fourier Transformation Infra-red Spectroscopy and Ultra-Performance Liquid Chromatography- Mass Spectrometry showing the presence of lipopeptides, fengycin, iturin and surfactin of molecular weights 1463.65, 1043.44 and 1012.56 Da respectively. The potential application of the biosurfactant in degrading various hydrocarbons was evaluated, demonstrating its effectiveness in bioremediation of oil-contaminated sites. Specifically, diesel biodegradation was measured at 56.460.95 %. These findings underscore the potential of B. amyloliquefaciens in environmental applications such as heavy metal biosorption and the bioremediation of contaminated sites, particularly those affected by oil spills and correlates to UN SDG6 of clean water and sanitation. 2024 Elsevier Ltd
Creator
An entity primarily responsible for making the resource
Biswas S.; Jayaram S.; Philip I.; Balasubramanian B.; Pappuswamy M.; BarcelD.; Chelliapan S.; Kamyab H.; Sarojini S.; Vasseghian Y.
Source
A related resource from which the described resource is derived
Journal of Environmental Chemical Engineering, Vol-12, No. 5
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
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.jece.2024.113454" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jece.2024.113454</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197601720&doi=10.1016%2Fj.jece.2024.113454&partnerID=40&md5=849c73571cb3c692ecc84ebe98500e93" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197601720&doi=10.1016%2fj.jece.2024.113454&partnerID=40&md5=849c73571cb3c692ecc84ebe98500e93</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 22133437
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
Biswas S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India, Equal Contribution.; Jayaram S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Philip I., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea, Equal Contribution.; Pappuswamy M., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; BarcelD., Chemistry and Physics Department, University of Almeria, Almer, 04120, Spain; Chelliapan S., Department of Smart Engineering and Advanced Technology, Faculty of Artificial Intelligence, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur, 54100, Malaysia; Kamyab H., Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India, Faculty of Architecture and Urbanism, UTE University, Calle Rumipamba S/N and Bourgeois, Quito, Ecuador; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Vasseghian Y., Department of Chemical Engineering and Material Science, Yuan Ze University, Taiwan
-
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
Approach for Collision Minimization and Enhancement of Power Allocation in WSNs
Description
An account of the resource
Wireless sensor networks (WSNs) have attracted much more attention in recent years. Hence, nowadays, WSN is considered one of the most popular technologies in the networking field. The reason behind its increasing rate is only for its adaptability as it works through batteries which are energy efficient, and for these characteristics, it has covered a wide market worldwide. Transmission collision is one of the key reasons for the decrease in performance in WSNs which results in excessive delay and packet loss. The collision range should be minimized in order to mitigate the risk of these packet collisions. The WSNs that contribute to minimize the collision area and the statistics show that the collision area which exceeds equivalents transmission power has been significantly reduced by this technique. This proposed paper optimally reduced the power consumption and data loss through proper routing of packets and the method of congestion detection. WSNs typically require high data reliability to preserve identification and responsiveness capacity while also improving data reliability, transmission, and redundancy. Retransmission is determined by the probability of packet arrival as well as the average energy consumption. 2021 Debabrata Singh et al.
Creator
An entity primarily responsible for making the resource
Singh D.; Bhanipati J.; Biswal A.K.; Samanta D.; Joshi S.; Shukla P.K.; Nuagah S.J.
Source
A related resource from which the described resource is derived
Journal of Sensors, Vol-2021
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
2021-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1155/2021/7059881" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2021/7059881</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122731292&doi=10.1155%2F2021%2F7059881&partnerID=40&md5=ae91f85bbdcdd0c11e8de77c694edb43" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122731292&doi=10.1155%2f2021%2f7059881&partnerID=40&md5=ae91f85bbdcdd0c11e8de77c694edb43</a>
Rights
Information about rights held in and over the resource
All Open Access; Hybrid Gold Open Access
Relation
A related resource
ISSN: 1687725X
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
Singh D., Department of CA, ITER, SOA Deemed To Be University, Odisha, Bhubaneswar, 751030, India; Bhanipati J., Department of CSE, ITER, SOA Deemed To Be University, Odisha, Bhubaneswar, 751030, India; Biswal A.K., Department of CSE, ITER, SOA Deemed To Be University, Odisha, Bhubaneswar, 751030, India; Samanta D., Department of Computer Science, CHRIST (Deemed To Be University), Karnataka, Bengaluru, 560029, India; Joshi S., Department of Computer Engineering, SVKM'S NMIMS MPSTME Shirpur Campus, Maharashtra Savalade, 425405, India; Shukla P.K., Department of CSE, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh), Bhopal, 462033, India; Nuagah S.J., Department of Electrical Engineering, Tamale Technical University, P.O. Box 3 E/R., Tamale, Ghana
-
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
Approach for Preprocessing in offline Optical Character Recognition (OCR)
Subject
The topic of the resource
Binarization; Image correction; Image enhancement; Preprocessing; Segmentation; Thinning
Description
An account of the resource
offline optical character recognition (offline OCR) is one of the important applications of pattern recognition. To achieve a better recognition result, the input character images must have good quality. That is why the preprocessing step be-comes essential for any image identification task. Lots of research has been performed in numerous jobs towards this preprocessing in the literature. Here, an attempt has been made to summarize different procedures and aspects of preprocessing adopted in implementing these preprocessing techniques. This is done in the hope that this may help the research community towards the gaining of knowledge of different preprocessing techniques used in offline OCR. offline OCR has several applications, such as old manuscript digitization, signature authentication, bank cheque automatic clearance and postal letter sorting, etc. Finally, an overall summary in a concise way has been presented based on different preprocessing techniques used in offline OCR. 2022 IEEE.
Creator
An entity primarily responsible for making the resource
Dey R.; Balabantaray R.C.; Mohanty S.; Singh D.; Karuppiah M.; Samanta D.
Source
A related resource from which the described resource is derived
2022 International Conference on Interdisciplinary Research in Technology and Management, IRTM 2022 - Proceedings
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
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/IRTM54583.2022.9791698" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IRTM54583.2022.9791698</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133431157&doi=10.1109%2FIRTM54583.2022.9791698&partnerID=40&md5=cfaa3fb86ba21a22bfc631cea86d607c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133431157&doi=10.1109%2fIRTM54583.2022.9791698&partnerID=40&md5=cfaa3fb86ba21a22bfc631cea86d607c</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-166547886-1
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
Dey R., Iiit Bhubaneswar, Department Of Cse, Bhubaneswar, India; Balabantaray R.C., Iiit Bhubaneswar, Department Of Cse, Bhubaneswar, India; Mohanty S., Driems, Department Of Computer Science And Engineering, Cuttack, India; Singh D., Soa University, Department Of Ca, Bhubaneswar, India; Karuppiah M., Srm Institute Of Science And Technology, Department Of Computer Science And Engineering, Ghaziabad, India; Samanta D., Christ (Deemed To Be University), Department Of Computer Science, 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
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
Approach Towards Web for Exploring the Suitable Job for Individuals
Subject
The topic of the resource
COVID-19; Digital; Experiential Learning; HRM; Web Applications
Description
An account of the resource
In light of future work challenges, true human resource management (HRM) must be rebuilt. This involves over time human resource development; it must also contain the concept of sustainability to move from consuming to generating human resources. The labor market is constantly changing, with nontraditional jobs becoming increasingly important, especially in light of the current COVID-19 legislation. A useful teaching strategy in a variety of academic fields, including career development, is experiential learning. Important elements for establishing experiential learning programs at the institutional level are also covered by researchers. Our framework may assist businesses in identifying the type of experiential learning that best fits their objectives and setting for professional training. It can also help ensure that the training is successfully designed and delivered. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Goyal V.; Tiwari A.; Jadhav S.K.; Yelapure S.; Yadav R.; Narasimha Prasad L.V.
Source
A related resource from which the described resource is derived
Proceedings - 2024 International Conference on Healthcare Innovations, Software and Engineering Technologies, HISET 2024, pp. 246-249.
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/HISET61796.2024.00079" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/HISET61796.2024.00079</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211326394&doi=10.1109%2FHISET61796.2024.00079&partnerID=40&md5=e951144eafeb79014545a63b00f058f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211326394&doi=10.1109%2fHISET61796.2024.00079&partnerID=40&md5=e951144eafeb79014545a63b00f058f0</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835036070-7
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
Goyal V., Christ (Deemed to Be University), Ghaziabad, India; Tiwari A., Christ (Deemed to Be University), Ghaziabad, India; Jadhav S.K., Krishna Institute of Computer Application and Management, Karad, India; Yelapure S., Krishna Institute of Computer Application and Management, Karad, India; Yadav R., Krishna Vishwa Vidyapeeth (Deemed to Be University), Department of Surgery, Karad, India; Narasimha Prasad L.V., Institute of Aeronautical Engineering, Department of Computer Science and Engineering, Hyderabad, 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
Approaches on redesigning entrepreneurship education
Description
An account of the resource
All over the world there is an emergence of a self-reliant life. This instilled a spark in entrepreneurship, especially during the wake of a pandemic world. The paradigm shift from dependency to self-reliance demands a set of skills and techniques as prerequisites to thrive in this competitive world. This chapter introduces a couple of innovative pedagogy strategies that can be inculcated in educational institutions, which will give rise to efficient entrepreneurs who can face adversaries and make an efficient contribution to society. The chapter aims to integrate realistic learning activities for fostering capability development in entrepreneurship education. Capability enhancement in entrepreneurship education includes activities that improve the knowledge, skills, and talents of potential entrepreneurs. The chapter aims to develop a model that further illustrates how the educational entrepreneurial experience could be explored. 2023, IGI Global.
Creator
An entity primarily responsible for making the resource
Sankar M.; Sophan A.; Kureethara J.V.
Source
A related resource from which the described resource is derived
Context, Policy, and Practices in Indigenous and Cultural Entrepreneurship, pp. 74-92.
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/10.4018/978-1-6684-7578-2.ch004" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-7578-2.ch004</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163540665&doi=10.4018%2F978-1-6684-7578-2.ch004&partnerID=40&md5=dd662c5afd04a562083793716a9e9845" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163540665&doi=10.4018%2f978-1-6684-7578-2.ch004&partnerID=40&md5=dd662c5afd04a562083793716a9e9845</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-166847580-5; 978-166847578-2
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
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
Sankar M., Christ University, India; Sophan A., Christ University, India; Kureethara J.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
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
Approaches Towards A Recommendation Engine for Life Insurance Products
Subject
The topic of the resource
Clustering; Insurance; Predictive Modelling; recommendations
Description
An account of the resource
Recommender engines are powerful tools in today's world to overcome the problem of over choice. As the world is moving towards information overload, the life insurance industry is no more immune than any other domain. Three broad categories of life insurance plans are namely - Endowment, Term and ULIP. This paper discusses a variety of ML models that aim to classify the right fit product category for a new customer (extendable to existing customers) on a real-time life insurance company dataset. The dataset used for the modelling were of 2 kinds. The first kind contained features of customer demographics - age, location, education and occupation. The second dataset included these customer demographics as well as the bureau information of the respective customers which included multiple features describing their credit history. By the means of clustering, collaborative filtering approaches were tried on. Also, the problem was tackled using predictive modelling techniques such as Random Forest, Decision Trees and XGBoost. 2021 IEEE.
Creator
An entity primarily responsible for making the resource
Vij A.; Preethi N.
Source
A related resource from which the described resource is derived
2021 IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2021
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
2021-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICMNWC52512.2021.9688436" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICMNWC52512.2021.9688436</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729619&doi=10.1109%2FICMNWC52512.2021.9688436&partnerID=40&md5=2969a91134c6e49ae33a4767c9c8c270" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729619&doi=10.1109%2fICMNWC52512.2021.9688436&partnerID=40&md5=2969a91134c6e49ae33a4767c9c8c270</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-073814637-9
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
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
Vij A., CHRIST University, India; Preethi N., CHRIST University, India
-
https://archives.christuniversity.in/files/original/b26dbbca2c02c49527a795c06e563ee7.pdf
c6c2d0e846ce73713191943d97874047
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
MPHIL
Mphil
Mphil 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/.
Title
A name given to the resource
Appropriation and commercialization of mythology: A reading of amish tripathi???s Shiva Trilogy
Creator
An entity primarily responsible for making the resource
Dileep Lakshmi
Date
A point or period of time associated with an event in the lifecycle of the resource
2015
Source
A related resource from which the described resource is derived
English
-
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
Approximate Binary Stacking Counters for Error Tolerant Computing Multipliers
Subject
The topic of the resource
Approximate multipliers; carry propagation; Compressors; Multipliers; Stacking counters
Description
An account of the resource
To increase the power and efficiency of VLSI circuits, a new, creative multiplying methodology is required. Multiplication is a crucial arithmetic operation for many of these applications. As a result, the newly proposed error-tolerant computing multiplier is a crucial component in the design of approximate multipliers that are both power and gate efficient. We have created approximative multipliers for several operand lengths using this suggested method and a 45-nm library. Depending on their probability, the approximation for the accumulation of changing partial products varies. In compared to approximate multipliers that were previously given, the proposed circuit produces better results. When column-wise generate elements are added to the modified partial product matrix using an OR gate, the output is usually accurate. The amount of energy used, and its silicon area have been considerably reduced in the suggested multiplier when compared to traditional multipliers by 41.92% and 18.47%, respectively. One of the platforms that these suggested multipliers are suitable for is the image processing application. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Balamanikandan A.; Ashokkumar N.; Arunraja A.; James Periyanayagam L.; Pereira A.P.; Lobo J.P.
Source
A related resource from which the described resource is derived
2024 4th International Conference on Intelligent Technologies, CONIT 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/CONIT61985.2024.10626276" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONIT61985.2024.10626276</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202765065&doi=10.1109%2FCONIT61985.2024.10626276&partnerID=40&md5=bc2a7cee99dd91550e3b76cc4e839129" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202765065&doi=10.1109%2fCONIT61985.2024.10626276&partnerID=40&md5=bc2a7cee99dd91550e3b76cc4e839129</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835034990-0
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
Balamanikandan A., Mohan Babu University((Erstwhile SreeVidyanikethan Engineering College), Electronics and Communication Engineering, Tirupati, India; Ashokkumar N., Mohan Babu University((Erstwhile SreeVidyanikethan Engineering College), Electronics and Communication Engineering, Tirupati, India; Arunraja A., Christ (Deemed to Be University), Electronics and Communication Engineering, Bangalore, India; James Periyanayagam L., Christ (Deemed to Be University), Electronics and Communication Engineering, Bangalore, India; Pereira A.P., Christ (Deemed to Be University), Electronics and Communication Engineering, Bangalore, India; Lobo J.P., Christ (Deemed to Be University), Electronics and Communication 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
Aquila Optimizer Based Optimal Allocation of Soft Open Points for Multi-Objective Operation in Electric Vehicles Integrated Active Distribution Networks
Subject
The topic of the resource
Active distribution networks; Aquila optimizer; Electric vehicles; Loss reduction; Renewable energy; Soft open points; Voltage profile improvement
Description
An account of the resource
The appropriate position and sizing of soft open points (SOPs) for reducing the detrimental impact of electric vehicle (EV) load penetration and renewable energy (RE) variation on active distribution networks (ADNs) are provided in this study. Soft open points (SOPs) have been used to create a multi-objective framework that considers loss minimization and voltage profile enhancement. The non-linear multi-variable complicated SOP allocation problem is solved for the first time using a modern meta-heuristic Aquila optimizer (AO). The modified IEEE 33-bus benchmark and IEEE 69-bus ADNs are used in the simulations. Before SOPs, the average real power loss in IEEE 33-bus AND was 370.329 kW, but after SOPs, it was reduced to 259.356 kW (i.e., 29.96 percent reduction). Similarly, effective SOPs integration in the IEEE 69-bus resulted in a loss reduction of 81.07 percent. AO's computational efficiency is also compared to that of multiobjective particle swarm optimization (MOPSO), particle swarm optimization (PSO), and cuckoo search algorithm (CSA). The AO has produced better results in terms of lower losses, improved voltage profile despite variations in EV load penetration, and RE and load volatility in ADNs, according to the results 2022. International Journal of Intelligent Engineering and Systems.All Rights Reserved
Creator
An entity primarily responsible for making the resource
Kumari C.H.N.; Inkollu S.R.; Patil R.; Janamala V.
Source
A related resource from which the described resource is derived
International Journal of Intelligent Engineering and Systems, Vol-15, No. 4, pp. 269-278.
Publisher
An entity responsible for making the resource available
Intelligent Network and Systems Society
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/10.22266/ijies2022.0831.25" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/ijies2022.0831.25</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133025865&doi=10.22266%2Fijies2022.0831.25&partnerID=40&md5=ae06e868be14b05c18ad32f3be2084c7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133025865&doi=10.22266%2fijies2022.0831.25&partnerID=40&md5=ae06e868be14b05c18ad32f3be2084c7</a>
Rights
Information about rights held in and over the resource
All Open Access; Bronze Open Access
Relation
A related resource
ISSN: 2185310X
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
Kumari C.H.N., Guru Nanak Institute of Technology, Telangana, Ibrahimpatnam, 501506, India; Inkollu S.R., Dhanekula Institute of Engineering & Technology, Andhra Pradesh, Vijayawada, 521139, India; Patil R., SVERIS College of Engineering, Maharashtra, Pamdharpur,Solarpur, 413304, India; Janamala V., Christ (Deemed to be University), Karnataka, Bangalore, 560074, 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
AR and Online Purchase Intention Towards Eye Glasses
Subject
The topic of the resource
Augmented reality; e-commerce; eyeglasses; online purchase intention
Description
An account of the resource
Augmented reality (AR) can be a potent tool for Indian online eyewear marketers by bridging the gap between online and offline purchasing experiences and meeting the needs of social validation and sensory engagement, which are preferences of Indian consumers. The present research explores how augmented reality (AR) technology affects Indian consumers' intentions to buy glasses online. A combination of descriptive and exploratory research design was used on the sample size of 236 consumers. Data was analyzed using frequency table and Structured Equation modelling (SEM) to identify the relationship amongst the variables. The findings indicate that accessibility to product information, telepresence, and perceived ease of use are important variables impacting purchase intention. AR can bridge the gap between online and offline experiences, meet consumer preferences, and create trust and confidence. Future research should explore AR's effectiveness and personalization possibilities for Indian online eyewear retailers. Future research should explore AR's effectiveness and personalization possibilities for Indian online eyewear retailers. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Prasad A.S.; Sinha D.; Goyal S.; Mathur S.
Source
A related resource from which the described resource is derived
2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 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/ICRITO61523.2024.10522440" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO61523.2024.10522440</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193819276&doi=10.1109%2FICRITO61523.2024.10522440&partnerID=40&md5=3e11a379a3b66ccc1a85ff84b73c0746" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193819276&doi=10.1109%2fICRITO61523.2024.10522440&partnerID=40&md5=3e11a379a3b66ccc1a85ff84b73c0746</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835035035-7
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
Prasad A.S., School of Business and Management, Christ (Deemed to Be University), Bangalore, India; Sinha D., School of Business and Management, Christ (Deemed to Be University), Bangalore, India; Goyal S., School of Business and Management, Christ (Deemed to Be University), Bangalore, India; Mathur S., School of Business and Management, 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
Ar-HGSO: Autoregressive-Henry Gas Sailfish Optimization enabled deep learning model for diabetic retinopathy detection and severity level classification
Subject
The topic of the resource
Deep Convolutional Neural Network; Diabetic retinopathy; Entropy Weighted and kernalized Power k-Means Clustering; Henry Gas Solubility Optimization model; Shepard Convolutional Neural network
Description
An account of the resource
Diabetic Retinopathy (DR) is one the most important problems of diabetics and it directs to the main cause of blindness. When proper treatment is afforded for DR patients, almost 90% of patients are protected from visual damage. DR does not produce any symptoms at the initial phase of the disease, thus various physical assessments, namely pupil dilation, visual acuity test, and so on are needed for DR disease detection. It is more complex to detect the DR during manual testing, because of the variations and complications of DR. The early detection and appropriate treatment assist to prevent vision loss for DR patients. Thus, it is very indispensable to categorize the levels and severity of DR for recommendation of essential treatment. In this paper, Autoregressive-Henry Gas Sailfish Optimization (Ar-HGSO)-based deep learning technique is proposed for DR detection and severity level classification of DR and Macular Edema (ME) based on color fundus images. The segmentation process is more essential for proper detection and classification process, which segments the image into various subgroups. The Deep Learning approach is utilized for effective identification of DR and severity classification of DR and ME. Moreover, the deep learning technique is trained by the designed Ar-HGSO scheme for obtaining better performance. The performance of the devised technique is evaluated using the IDRID dataset and DDR dataset. The introduced Ar-HGSO-based deep learning approach obtained better performance than other existing DR detection and classification techniques with regards to testing accuracy, sensitivity, and specificity of 0.9142, 0.9254, and 0.9142 using the IDRID dataset. 2022 Elsevier Ltd
Creator
An entity primarily responsible for making the resource
Elwin J.G.R.; Mandala J.; Maram B.; Kumar R.R.
Source
A related resource from which the described resource is derived
Biomedical Signal Processing and Control, Vol-77
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
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.bspc.2022.103712" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.bspc.2022.103712</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130616233&doi=10.1016%2Fj.bspc.2022.103712&partnerID=40&md5=e21a62bf8dd88d76f44b1c203bc8a056" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130616233&doi=10.1016%2fj.bspc.2022.103712&partnerID=40&md5=e21a62bf8dd88d76f44b1c203bc8a056</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 17468094
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
Elwin J.G.R., Associate Professor, Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India; Mandala J., Department of Computer Science and Engineering, Christ University, Bangalore, India; Maram B., Associate Professor, Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Himachal Pradesh, India; Kumar R.R., Professor, Department of Information Technology, Sri Krishna College Technology, Coimbatore, 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
Arabica Coffee Bean Grading into Specialty and Commodity Type Based on Quality Using Visual Inspection
Subject
The topic of the resource
K nearest neighbors; Object localization; Primary and secondary defects; Specialty coffee; Transfer learning
Description
An account of the resource
Expanding potential of coffee consumers to seek out the freshest and best flavors is a cause for the rise of specialty coffee inthe market. Specialty coffee is grown and harvestedmaintaining an emphasis on quality and clarity of flavor, whereas commodity coffee is harvested for caffeine content. Within those inclusive categories, arabica and robusta are the two types of main branches of coffee that weencounter in the coffee market. Specialty coffees differ significantly from conventional coffees in that they are cultivated at higher altitudes, can be traced, and are professionally processed after being harvested. The quality is constantly examined and understood at every stage, from growth to brewing. Green arabica quality is assessed by counting the defective beans present in the sample. These defects can be primary (Category I) or secondary (Category II). If the primary defects are null and less than five secondary defects, coffee is said to be a specialty.Prior research has been done on classifying the coffee species and differentiating good beans from bad beans. Our research involves the combination of machine learning like K-NN and deep learning convolutional neural networks for classifying specialty coffee from commodity type using computer vision. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Creator
An entity primarily responsible for making the resource
Pragathi S.P.; Jacob L.
Source
A related resource from which the described resource is derived
Lecture Notes in Electrical Engineering, Vol-1096, pp. 13-20.
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
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1007/978-981-99-7137-4_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-7137-4_2</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185707056&doi=10.1007%2F978-981-99-7137-4_2&partnerID=40&md5=260a3bc9e17abc842cbe879e3a48a23e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185707056&doi=10.1007%2f978-981-99-7137-4_2&partnerID=40&md5=260a3bc9e17abc842cbe879e3a48a23e</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 18761100; ISBN: 978-981997136-7
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
Pragathi S.P., Department of Data Science, Christ University, Bangalore, India; Jacob L., Department of Data Science, Christ University, Bangalore, India