64
20
11858
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Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Advancements in Cyber Security and Information Systems in Healthcare from 2004 to 2022: A Bibliometric Analysis
Subject
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Bibliometric Analysis; Citation Analysis; Cyber Security; Healthcare; Information Systems
Description
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The main goals of the multifaceted healthcare system were to prevent, identify, and treat illnesses or conditions that affect human health. As the usage of IT in healthcare increased, the complexities in managing the IT infrastructure also increase, emphasizing the need of robust cyber security systems. The study aims to emphasize the advancements made in cyber security and information systems in healthcare, based on bibliometric analysis. 5,487 document's metadata was obtained from Scopus and data was analyzed using Vos Viewer. Ranking of articles was done with average yearly citations of the publications. Bibliometric analysis was performed based on 'bibliographic coupling of countries', 'co-occurrence of all keywords', 'author-based co-authorship', and 'term co-occurrence based on text data'. It was found that United States had the maximum publications (1337). 'Department of Information Systems and Cyber Security, The University of Texas at San Antonio, United States' is the most influential organization with 159 publications. IEEE Access is the most preferred platform for publication related to cyber security and information systems in healthcare (231 publications). 167 publications have received more than 100 citations. Choo K. K.R. is the most influential author with 185 publications. 2023 IEEE.
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Nair S.V.R.; Saha S.K.
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Proceedings of 2023 International Conference on Intelligent Systems, Advanced Computing and Communication, ISACC 2023
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1109/ISACC56298.2023.10084049" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ISACC56298.2023.10084049</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153394358&doi=10.1109%2FISACC56298.2023.10084049&partnerID=40&md5=43100d1ad6f66197e855d72419a15807" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153394358&doi=10.1109%2fISACC56298.2023.10084049&partnerID=40&md5=43100d1ad6f66197e855d72419a15807</a>
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ISBN: 979-835039938-7
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Online
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English
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Conference paper
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Nair S.V.R., School of Business and Management, Christ University, Bangalore, India; Saha S.K., School of Business and Management, Christ University, Bangalore, India
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Advancements in Deep Learning Techniques for Potato Leaf Disease Identification Using SAM-CNNet Classification
Subject
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convolutional neural network; data normalization; GoogLeNet; potato leaf diseases; Spatial Attention Mechanism
Description
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Potato leaf diseases like Late Blight and Early Blight significantly challenge potato cultivation, impacting crop yield and quality worldwide. Potatoes are a staple for over a billion people and crucial for food security, especially in developing countries. The economic impact is substantial, with Late Blight alone causing annual damages over $6 billion globally. Effective detection and management are essential to mitigate these effects on agricultural productivity and economic stability. This paper presents a novel approach to potato leaf disease detection using advanced deep learning and optimization techniques. Key components include data normalization to eliminate noise, feature extraction using GoogLeNet, and hyperparameter tuning through the Elk Herd Optimizer (EHO). Additionally, a Spatial Attention Mechanism and Convolutional Neural Network (SAM-CNNet) are employed for robust classification. The method is validated using the Plant Village dataset, yielding an accuracy of 98.58%, with precision of 97.68%, recall of 98.42%, and F1-Score of 98.21%, demonstrating exceptional performance and reliability. This study highlights the proposed approach's efficacy in accurately identifying and classifying potato leaf diseases, offering a promising solution for precision agriculture and crop management. Copyright: 2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license.
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Patil S.; Satya A.D.V.; Bajjuri U.R.; Damarapati P.K.; Manur M.; Thirumalraj A.; Vatambeti R.
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Ingenierie des Systemes d'Information, Vol-29, No. 5, pp. 2021-2030.
Publisher
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International Information and Engineering Technology Association
Date
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2024-01-01
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<a href="https://doi.org/10.18280/isi.290533" target="_blank" rel="noreferrer noopener">https://doi.org/10.18280/isi.290533</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207450988&doi=10.18280%2Fisi.290533&partnerID=40&md5=1a9b37d4fe16dfe4c3d8ee4fe647d79a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207450988&doi=10.18280%2fisi.290533&partnerID=40&md5=1a9b37d4fe16dfe4c3d8ee4fe647d79a</a>
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All Open Access; Hybrid Gold Open Access
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ISSN: 16331311
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Online
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English
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Article
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Patil S., Department of Information Technology, MLR Institute of Technology, Hyderabad, 500043, India; Satya A.D.V., Department of Chemistry, New Horizon College of Engineering, Bengaluru, 560103, India; Bajjuri U.R., Department of Computer Science and Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, 521230, India; Damarapati P.K., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, 522302, India; Manur M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Thirumalraj A., Department of Computer Science and Engineering, K. Ramakrishna College of Technology, Trichy, 621112, India; Vatambeti R., School of Computer Science and Engineering, VIT-AP University, Vijayawada, 522237, India
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Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Advancements in e-Governance Initiatives: Digitalizing Healthcare in India
Subject
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Contact tracing applications; e-Governance; EHR; ICT digital health
Description
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In order to improve the quality of service delivery to the public, to encourage interactive communications between government and citizens or government and business, and to address development challenges in any given society, information and electronic governance is the sophisticated fusion of a wide range of information and communication technologies with non-technological measures and resources. Digital technology advancements over the past ten years have made it possible to quickly advance data gathering, analysis, display, and application for bettering health outcomes. Digital health is the study and practice of all facets of using digital technologies to improve ones health, from conception through implementation. Digital health strategies seek to improve the data that is already accessible and encourage its usage in decision-making. Digital patient records that are updated in real-time are known as electronic health records (EHRs). An electronic health record (EHR) is a detailed account of someones general health. Electronic health records (EHRs) make it easier to make better healthcare decisions, track a patients clinical development, and deliver evidence-based care. This concept paper is based on secondary data that was collected from a variety of national and international periodicals, official records, and public and private websites. This paper presents a review of advancements for scaling digital health within Indias overall preparedness for pandemics and the use of contact tracing applications in measuring response efforts to counter the impact of the pandemic. The paper provides information about the government of Indias EHR implementation and initiatives taken toward the establishment of a system of e-governance. The document also covers the advantages of keeping EHR for improved outreach and health care. Further, this paper discusses in depth the effectiveness of using contact tracing applications in enhancing digital health. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
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Das S.; Garg V.; Joseph J.J.
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Lecture Notes in Networks and Systems, Vol-755 LNNS, pp. 287-296.
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Springer Science and Business Media Deutschland GmbH
Date
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2023-01-01
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<a href="https://doi.org/10.1007/978-981-99-5085-0_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-5085-0_28</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174524641&doi=10.1007%2F978-981-99-5085-0_28&partnerID=40&md5=7b41d7802d4e1e8698be310e74a9cd51" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174524641&doi=10.1007%2f978-981-99-5085-0_28&partnerID=40&md5=7b41d7802d4e1e8698be310e74a9cd51</a>
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Restricted Access
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ISSN: 23673370; ISBN: 978-981995084-3
Format
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Online
Language
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English
Type
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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
Das S., School of Commerce, Finance and Accountancy, CHRIST (Deemed to Be University), Bengaluru, India; Garg V., School of Commerce, Finance and Accountancy, CHRIST (Deemed to Be University), Bengaluru, India; Joseph J.J., School of Commerce, Finance and Accountancy, CHRIST (Deemed to Be University), Bengaluru, India
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Title
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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
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Advancements in Electronic Healthcare: A Bibliometric Analysis
Subject
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Bibliometric analysis; Blockchain; Electronic healthcare; Internet of things; Patient
Description
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Electronic healthcare has changed the traditional form of medical treatment. The integrated approach of interconnected devices had enhanced the process of record keeping and dissemination, benefitting Doctors, patients, and other stakeholders. This study aims to highlight the research carried out in the field of electronic healthcare from the year 2011 to 2020. Metadata of 821 publications from Scopus database was extracted and analyzed. VOS viewer was used to generate the network diagrams and link strengths. It was found that Harvard Medical School and European Commission were the top publication affiliation and funder, respectively. United Stated dominated with the maximum number of publications till 2017 but was surpassed by publications from India from 2018 onwards. Publications inclined toward Internet of things, network security, retrospective study, and authentication toward the end of this decade indicating the shift in trend for the future. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Saha S.K.
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Lecture Notes in Electrical Engineering, Vol-1037 LNEE, pp. 101-110.
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Springer Science and Business Media Deutschland GmbH
Date
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2023-01-01
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<a href="https://doi.org/10.1007/978-981-99-1983-3_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-1983-3_10</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169027251&doi=10.1007%2F978-981-99-1983-3_10&partnerID=40&md5=9d591dd5c8b3916462ad10caf6c57aee" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169027251&doi=10.1007%2f978-981-99-1983-3_10&partnerID=40&md5=9d591dd5c8b3916462ad10caf6c57aee</a>
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ISSN: 18761100; ISBN: 978-981991982-6
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Saha S.K., School of Business and Management, Christ University, Bengaluru, India
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Dublin Core
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Title
A name given to the resource
Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Advancements in Medical Imaging: Detecting Kidney Stones in CT Scans using a ELM-I AdaBoost-RT Model
Subject
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computed tomography (CT); detection of kidney stones; extreme learning machine (ELM)
Description
An account of the resource
Kidney stones have been more common in recent years, leading many to believe that the condition is common. The condition's strong relationship with other terrible diseases makes it a major threat to public health. The development of instruments and procedures that facilitate the diagnosis and treatment of this ailment has the potential to enhance the effectiveness and efficiency of health care. Preprocessing, feature extraction, level set segmentation, and model training are the four steps that make up this approach. Part of the preprocessing includes eliminating the skeletal skeleton and soft-organs. Level set segmentation is commonly used for object tracking, motion segmentation, and image segmentation. An extremely effective feature extraction method called Gray level co-occurrence matrix (GLCM) is suggested for extracting the necessary characteristics from the segmented image. That ELM-I-AdaBoost-RT was used all during training. This cutting-edge technique achieves an average accuracy of 95.83%, surpassing both ELM and AdaBoost. 2024 IEEE.
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Sudarsan M.S.V.D.; Sapra P.; Suganthi D.; Jeevitha S.; Ankit R.; Chauhan A.
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International Conference on Intelligent Algorithms for Computational Intelligence Systems, IACIS 2024
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/IACIS61494.2024.10721922" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IACIS61494.2024.10721922</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208809654&doi=10.1109%2FIACIS61494.2024.10721922&partnerID=40&md5=9b664a754216fccd2e6cdebe9fabb22f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208809654&doi=10.1109%2fIACIS61494.2024.10721922&partnerID=40&md5=9b664a754216fccd2e6cdebe9fabb22f</a>
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ISBN: 979-835036066-0
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Sudarsan M.S.V.D., Deemed To Be University, College Siddhartha Academy of Higher Education(SAHE), Department of Mathematics V.R. Siddhartha Engineering, Vijayawada, India; Sapra P., Rayat Bahra University, Department of Cse, Punjab, Mohali, India; Suganthi D., Saveetha University, Saveetha College of Arts and Sciences, Department of Computational Intelligence, Chennai, India; Jeevitha S., Kalasalingam Academy of Research and Education, Department of Computer Science and Information Technology, Krishnankoil, India; Ankit R., Lovely Professional University, School of Physical Education, Punjab, Phagwara, India; Chauhan A., Christ University, Department of Life Sciences, Bengaluru, India
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Advancements in optical steganography for secure medical data transmission in telehealth systems
Subject
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Adaptive steganography techniques; Optical steganography; Quantum steganography; Secure medical data transmission; Telehealth systems
Description
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Secure medical data transfer technologies have advanced as a result of the brisk growth of telehealth services. This study provides a thorough review of the most up-to-date research on using optical steganography to conceal medical records from prying eyes. Data concealing capacity has been increased without sacrificing picture quality using new techniques that make it difficult for unauthorised parties to access hidden information. Using adaptive steganography methods, medical data may be encoded in images in a way that makes it impossible to detect or extract by prying eyes. By concealing information over many picture layers, multi-layer steganography adds an extra degree of protection from prying eyes. The development of steganographic techniques has been spurred on by the use of machine learning and artificial intelligence to enhance steganalysis and the use of quantum characteristics to offer an extra layer of security in quantum steganography. Combining this with cryptographic safeguards like encryption provides an additional layer of security. In order to successfully safeguard sensitive medical data during transmission, standardisation and compliance in optical steganography are becoming more important as telehealth systems become more widespread. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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Patange A.; Mahesan K.V.; Manjula C.; Donald C.; Babu S.; Peroumal V.; Arumugam M.
Source
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Optical and Quantum Electronics, Vol-55, No. 9
Publisher
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Springer
Date
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2023-01-01
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<a href="https://doi.org/10.1007/s11082-023-05080-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11082-023-05080-5</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163760985&doi=10.1007%2Fs11082-023-05080-5&partnerID=40&md5=dd402c2b57eabf22252c01e7d383c016" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163760985&doi=10.1007%2fs11082-023-05080-5&partnerID=40&md5=dd402c2b57eabf22252c01e7d383c016</a>
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ISSN: 3068919; CODEN: OQELD | CS; 2023-2023; Vol-1; 00077-00090
Format
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Online
Language
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English
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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
Patange A., Department of Medicine, Krishna Institute of Medical Sciences, Krishna Vishwa Vidya Peeth (Deemed University), MS, Karad, India; Mahesan K.V., Dr. Ambedkar Institute of Technology, Bangalore, India; Manjula C., Department of Mechatronics, Oxford College of Engineering, Bangalore, India; Donald C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Babu S., Department of Biochemistry, Symbiosis Medical College for Women, Symbiosis International (Deemed University), Pune, India; Peroumal V., School of Electronics Engineering, Vellore Institute of Technology, Chennai, India; Arumugam M., Center for Transdisciplinary Research, Saveetha Dental College, Saveetha Institute of Medical and Technical Science, Chennai, India
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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
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Advancements in Solar-Powered UAV Design Leveraging Machine Learning: A Comprehensive Review
Subject
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Controllers; Flight endurance; NAV; Resource; Rotor-driven; SUAV
Description
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Unmanned Aerial Vehicles (UAVs), commonly known as drones, have seen significant innovations in recent years. Among these innovations, the integration of solar power and machine learning has opened up new horizons for enhancing UAV capabilities. This review article provides a comprehensive overview of the state-of-the-art in solarpowered UAV design and its synergy with machine learning techniques. We delve into the various aspects of solar-powered UAVs, from their design principles and energy harvesting technologies to their applications across different domains, all while emphasizing the pivotal role that machine learning plays in optimizing their performance and expanding their functionality. By examining recent advancements and challenges, this review aims to shed light on the future prospects of this transformative technology. The Authors, published by EDP Sciences, 2024.
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Hariharan R.; Saxena A.; Dhote V.; Srisathirapathy S.; Almusawi M.; Raja Kumar J.R.
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E3S Web of Conferences, Vol-540
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EDP Sciences
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2024-01-01
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<a href="https://doi.org/10.1051/e3sconf/202454002024" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202454002024</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198107625&doi=10.1051%2Fe3sconf%2F202454002024&partnerID=40&md5=9bf794f4b7635fdb0ef503207a25df74" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198107625&doi=10.1051%2fe3sconf%2f202454002024&partnerID=40&md5=9bf794f4b7635fdb0ef503207a25df74</a>
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ISSN: 25550403
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Hariharan R., School of Business and Management, CHRIST (Deemed to Be University), Bangalore Yeshwantpur Campus India, India; Saxena A., Department of Management, Uttaranchal Institute of Management, Uttaranchal University, Uttarakhand, Dehradun, India; Dhote V., Department of Computer Science and Engineering, IES College of Technology, IES University, Madhya Pradesh, Bhopal, 462044, India; Srisathirapathy S., Department of Mech, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 127, India; Almusawi M., The Islamic University, Najaf, Iraq; Raja Kumar J.R., Department of Computer Engineering, Genba Sopanrao Moze College of Engineering, Maharashtra, Balewadi, India
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Title
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Reviews
Review
Faculty Publications- Reviews
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
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Advancements in Sustainable Techniques for Dried Meat Production: an Updated Review
Subject
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Antimicrobial; Dry meat; Health hazard; Non-thermal; Texture; Thermal
Description
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Dried meat is one of the ethnic and aesthetic food products popular among global civilizations and communities. The background of the production is associated with several methods practiced conventionally in the olden days. This review focused on investigating the advantages, challenges, research gaps, and technological intervention in dried meat production in the modern era. Moreover, it presented a gestalt of cutting-edge thermal and non-thermal food processing technologies and their effectiveness in extending shelf life. It delved into the specific characteristics of dried meat, including biochemical, sensory, and microbiological properties and processing techniques, and addressed the contamination sources. The pros and cons of various drying methods like hot-air drying, vacuum pulsed electric field, microwave-assisted techniques, and non-thermal drying processes are comprehended. The impact on meat's structural properties, nutritional value, shelf-life, quality control, and food safety are thoroughly presented. Moreover, the review explored the biochemical dynamics of the drying process and underscored the health risks associated with mycotoxin contamination in dried meat products. Furthermore, the study also presented the avenues of AI-based platforms and non-destructive technology for validating the quality of dried meat products. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
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Pushparaj K.; Balasubramanian B.; Meyyazhagan A.; Park S.; Arumugam V.A.; Pappuswamy M.; Bhotla H.K.; Liu W.-C.; Mousavi Khaneghah A.
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Food and Bioprocess Technology
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Springer
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2024-01-01
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<a href="https://doi.org/10.1007/s11947-024-03579-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11947-024-03579-7</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203261813&doi=10.1007%2Fs11947-024-03579-7&partnerID=40&md5=f657f0af60f2402dc0f4606c91a99800" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203261813&doi=10.1007%2fs11947-024-03579-7&partnerID=40&md5=f657f0af60f2402dc0f4606c91a99800</a>
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ISSN: 19355130
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Online
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English
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Review
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Pushparaj K., Department of Zoology, School of Biosciences, Avinashilingam Institute for Home Science and Higher Education for Women, Tamil Nadu, Coimbatore, 641 043, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Meyyazhagan A., Department of Life Science, CHRIST University, Karnataka, Bengaluru, 560076, India; Park S., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Arumugam V.A., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, 641 046, India; Pappuswamy M., Department of Life Science, CHRIST University, Karnataka, Bengaluru, 560076, India; Bhotla H.K., Department of Zoology, School of Biosciences, Avinashilingam Institute for Home Science and Higher Education for Women, Tamil Nadu, Coimbatore, 641 043, India; Liu W.-C., Department of Animal Science, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, China; Mousavi Khaneghah A., Faculty of Biotechnologies (BioTech), ITMO University, 191002, 9 Lomonosova Street, Saint Petersburg, Russian Federation, Halal Research Center of IRI, Iran Food and Drug Administration, Ministry of Health and Medical Education, Tehran, Iran
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Conference Papers
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Advancements in Sybil Attack Detection: A Comprehensive Survey of Machine Learning-Based Approaches in Wireless Sensor Networks
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Decision Trees; Deep learning; K-Nearest Neighbour; Reinforcement learning; Semi-supervised learning; Supervised learning; Unsupervised learning
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Wireless Sensor Networks (WSNs) are used in various healthcare and military surveillance applications. As more sensitive data is transmitted across the network, achieving security becomes critical. Ensuring security is also challenging because most sensors are deployed in remote areas, making them vulnerable to many security attacks. Sybil attacks are one of the most destructive attacks. Security against Sybil attackers can be attained by implementing effective detection techniques to distinguish attackers from genuine nodes. This paper reviews existing machine learning-based approaches for detecting Sybil attacks, and their performance is compared based on different parameters. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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Anita E.A.M.; Jenefa J.; Vinodha D.; Lapina M.
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Lecture Notes in Networks and Systems, Vol-863 LNNS, pp. 67-75.
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Springer Science and Business Media Deutschland GmbH
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2024-01-01
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<a href="https://doi.org/10.1007/978-3-031-72171-7_7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-72171-7_7</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207587838&doi=10.1007%2F978-3-031-72171-7_7&partnerID=40&md5=bc9f6af23ada3204cb2ae17e28319db6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207587838&doi=10.1007%2f978-3-031-72171-7_7&partnerID=40&md5=bc9f6af23ada3204cb2ae17e28319db6</a>
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ISSN: 23673370; ISBN: 978-303172170-0
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Online
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English
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Conference paper
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Anita E.A.M., Department of Computer Science and Engineering, Christ University, Bangalore, India; Jenefa J., Department of Computer Science and Engineering, Christ University, Bangalore, India; Vinodha D., Department of Computer Science and Engineering, Christ University, Bangalore, India; Lapina M., Department of Information Security of Automated Systems, North-Caucasus Federal University, Stavropol, Russian Federation
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Reviews
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Advancements in thiol-yne click chemistry: Recent trends and applications in polymer synthesis and functionalization
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Hyperbranched polymers; Network polymers; Polymer synthesis; Radical-mediated; Surface functionalization; Thiol-yne click chemistry
Description
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The 2022 Nobel Prize in chemistry brought the world's attention to click chemistry, a field as fascinating as its name, characterized by attractive features like high yield, stereospecificity, and broad scope. Since its inception, click chemistry has been synonymous with copper-catalyzed azide-alkyne reactions, owing to their remarkable advantages. However, as the field advanced, there has been a proactive search to develop metal-free alternatives for more biocompatible applications. This led to the extensive adoption of thiol-ene click reactions in the past decade. Yet, due to the growing requirement for polymers with complex architecture and functionality, in recent years, thiol-yne click reactions have come to the forefront with additional advantages over its ene counterparts, allowing the addition of two thiols to an alkyne. This review provides a concise overview of some of the significant developments in polymer synthesis and functionalization utilizing thiol-yne click chemistry. The focus is primarily on radical-mediated thiol-yne reactions, considering the substantial body of work in this area. Moreover, the review provides adequate discussion on other mechanistic pathways like nucleophilic and metal-catalyzed thiol-yne reactions that have gained traction recently. 2024 Elsevier Ltd
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Sradha S A.; Sariga; George L.; Varghese A.
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Materials Today Chemistry, Vol-38
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Elsevier Ltd
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2024-01-01
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<a href="https://doi.org/10.1016/j.mtchem.2024.102112" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.mtchem.2024.102112</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193434142&doi=10.1016%2Fj.mtchem.2024.102112&partnerID=40&md5=dfa6ad45385c9e72d44cf15b5822e5c6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193434142&doi=10.1016%2fj.mtchem.2024.102112&partnerID=40&md5=dfa6ad45385c9e72d44cf15b5822e5c6</a>
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ISSN: 24685194
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Online
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English
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Review
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Sradha S A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Sariga, Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; George L., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India
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Advances in Carbon-Element Bond Construction under Chan-Lam Cross-Coupling Conditions: A Second Decade
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C-N bond formation; C-O bond formation; Chan-Lam coupling; copper mediated; copper-catalyzed; N-arylation
Description
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Copper-mediated carbon-heteroatom bond-forming reactions involving a wide range of substrates have been in the spotlight for many organic chemists. This review highlights developments between 2010 and 2019 in both stoichiometric and catalytic copper-mediated reactions, and also examples of nickel-mediated reactions, under modified Chan-Lam cross-coupling conditions using various nucleophiles; examples include chemo- and regioselective N-arylations or O-arylations. The utilization of various nucleophiles as coupling partners together with reaction optimization (including the choice of copper source, ligands, base, and other additives), limitations, scope, and mechanisms are examined; these have benefitted the development of efficient and milder methods. The synthesis of medicinally valuable or pharmaceutically important nitrogen heterocycles, including isotope-labeled compounds, is also included. Chan-Lam coupling reaction can now form twelve different C-element bonds, making it one of the most diverse and mild reactions known in organic chemistry. 1 Introduction 2 Construction of C-N and C-O Bonds 2.1 C-N Bond Formation 2.1.1 Original Discovery via Stoichiometric Copper-Mediated C-N Bond Formation 2.1.2 Copper-Catalyzed C-N Bond Formation 2.1.3 Coupling with Azides, Sulfoximines, and Sulfonediimines as Nitrogen Nucleophiles 2.1.4 Coupling with N, N -Dialkylhydroxylamines 2.1.5 Enolate Coupling with sp 3-Carbon Nucleophiles 2.1.6 Nickel-Catalyzed Chan-Lam Coupling 2.1.7 Coupling with Amino Acids 2.1.8 Coupling with Alkylboron Reagents 2.1.9 Coupling with Electron-Deficient Heteroarylamines 2.1.10 Selective C-N Bond Formation for the Synthesis of Heterocycle-Containing Compounds 2.1.11 Using Sulfonato-imino Copper(II) Complexes 2.2 C-O Bond Formation 2.2.1 Coupling with (Hetero)arylboron Reagents 2.2.2 Coupling with Alkyl- and Alkenylboron Reagents 3 C-Element (Element = S, P, C, F, Cl, Br, I, Se, Te, At) Bond Forma tion under Modified Chan-Lam Conditions 4 Conclusions. 2021 Georg Thieme Verlag. All rights reserved.
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Vijayan A.; Rao D.N.; Radhakrishnan K.V.; Lam P.Y.S.; Das P.
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Synthesis (Germany), Vol-53, No. 5, pp. 805-847.
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Georg Thieme Verlag
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2021-01-01
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<a href="https://doi.org/10.1055/s-0040-1705971" target="_blank" rel="noreferrer noopener">https://doi.org/10.1055/s-0040-1705971</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098077178&doi=10.1055%2Fs-0040-1705971&partnerID=40&md5=3da7612f4973a5947129485a34dda359" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098077178&doi=10.1055%2fs-0040-1705971&partnerID=40&md5=3da7612f4973a5947129485a34dda359</a>
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ISSN: 397881; CODEN: SYNTB
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Online
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English
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Review
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Vijayan A., Department of Chemistry, CHRIST, Deemed to Be University, Hosur road, Bengaluru, 560029, India, CSIR, National Institute for Interdisciplinary Science and Technology, Industrial Estate PO, Thiruvananthapuram, 695019, India; Rao D.N., Department of Chemistry, Indian Institute of Technology (ISM), Dhanbad, 826004, India; Radhakrishnan K.V., CSIR, National Institute for Interdisciplinary Science and Technology, Industrial Estate PO, Thiruvananthapuram, 695019, India; Lam P.Y.S., Baruch S. Blumberg Institute, Doylestown, 18902, PA, United States; Das P., Department of Chemistry, Indian Institute of Technology (ISM), Dhanbad, 826004, India
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Conference Papers
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Advances in Crime Identification: A Machine Learning Perspective
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Crime Patterns; Crime prevention; Detection; Machine Learning; Prediction
Description
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Crime profoundly impacts individuals, communities, and families. Technological advancements have provided perpetrators with new opportunities for criminal activities. The primary objective of the police department is to resolve crimes, ensuring justice for the victims. Additionally, preventing such incidents is crucial for creating a safer world. The landscape of criminal justice has undergone a significant shift with the integration of machine learning techniques, unlocking unparalleled potential for accuracy and efficiency. This study thoroughly examines the concept of various applications of machine learning in crime detection, prediction, and prevention. We examine the evolution of these technologies, from early developments to state- of-the-art methodologies, conducting a thorough analysis of their strengths, limitations, and ethical considerations. Moreover, the paper sheds light on crimes discussed in academic circles, serving as a repository for scholars and researchers. This facilitates informed discussions and guides future research endeavours. 2024 IEEE.
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Rachana N.; Norton Stanley S.A.; Sandeep J.; Sreeja C.S.
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Proceedings of International Conference on Communication, Computer Sciences and Engineering, IC3SE 2024, pp. 68-74.
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Institute of Electrical and Electronics Engineers Inc.
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2024-01-01
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<a href="https://doi.org/10.1109/IC3SE62002.2024.10593130" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3SE62002.2024.10593130</a>
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ISBN: 979-835036684-6
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Online
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English
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Conference paper
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Rachana N., Christ (Deemed To Be University), Department Of Computer Science, Bangalore, India; Norton Stanley S.A., Christ (Deemed To Be University), Department Of Computer Science, Bangalore, India; Sandeep J., Christ (Deemed To Be University), Department Of Computer Science, Bangalore, India; Sreeja C.S., Christ (Deemed To Be University), Department Of Computer Science, Bangalore, India
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Advances in detecting non-steroidal anti-inflammatory drugs (NSAIDs) using molecular receptors and nanostructured assemblies
Description
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The detection and quantification of non-steroidal anti-inflammatory drugs (NSAIDs) are crucial due to their widespread use and potential impact on human health and the environment. This review provides a comprehensive survey of the recent advancements in sensing technologies for NSAIDs, focusing on molecular receptors and nanostructured assemblies. Molecular receptors based on different fluorescent molecules such as anthracene, naphthalimide, squaraine, quinoline, BINOL, etc. offer high selectivity and sensitivity for NSAID detection. In parallel, nanostructured assemblies including CdSe/ZnS, Cd/S quantum dots (QDs), carbon dot-containing imprinted polymers, Ag and Au nanoparticles (NPs), hydrogel-embedded chemosensors, etc. were utilized for NSAID detection. This review highlights the different binding pathways with the change of various photophysical properties combining molecular recognition elements with nanomaterials to develop innovative sensors that achieve rapid, sensitive, and selective detection of NSAIDs. The review also discusses current challenges and future prospects in the field and based on reported designed receptors and nanostructured assemblies. To the best of our knowledge, no reviews have been reported on this topic so far. Thus, this review will fruitfully guide researchers to design various new molecular receptors and nanostructured materials to detect NSAIDs. 2024 RSC.
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Das A.K.
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RSC Medicinal Chemistry
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Royal Society of Chemistry
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2024-01-01
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<a href="https://doi.org/10.1039/d4md00661e" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d4md00661e</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210915254&doi=10.1039%2Fd4md00661e&partnerID=40&md5=435c554310d50212810a3f7b7b76e10f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210915254&doi=10.1039%2fd4md00661e&partnerID=40&md5=435c554310d50212810a3f7b7b76e10f</a>
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ISSN: 26328682; CODEN: RMCSE
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English
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Review
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Das A.K., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India
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Book Chapter
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Advances in sensor technologies for detecting soil pollution
Description
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The present chapter elucidates progressions in the surveillance of soil pollution, with a specific emphasis on integrated systems and sensor technologies. Future trends (e.g., enhanced selectivity, regulatory adoption), deployment platforms (field-deployable, wireless networks), and sensor types (electrochemical, optical, and biosensors) are discussed. Increasing sensitivity and specificity, facilitating on-site, real-time analysis, and integrating sensing with remediation strategies are priorities. The discourse highlights the revolutionary capacity that soil pollution sensors possess to propel environmental monitoring and management forward. Collaboration among stakeholders is critical for successfully implementing sensorbased approaches and driving innovation. 2024, IGI Global. All rights reserved.
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Singha R.; Singha S.; Ruben V.M.; Haokip A.D.
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Sensors for Environmental Monitoring, Identification, and Assessment, pp. 218-230.
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IGI Global
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2024-01-01
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<a href="https://doi.org/10.4018/979-8-3693-1930-7.ch014" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-1930-7.ch014</a>
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ISBN: 979-836931931-4; 979-836931930-7
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English
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Book chapter
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Singha R., Christ University, India; Singha S., Kristu Jayanti College (Autonomous), India; Ruben V.M., Christ University, India; Haokip A.D., Christ King High School, India
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Advances in suicide prevention: Critical overview of the gaps in suicide risk assessments, multimodal strategies, medicolegal risks, and the emerging evidence
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evidence-based strategies; suicide; suicide prevention; suicide research; suicide risk assessment
Description
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The CDC reports that the United States has the highest suicide rates in over 80 years. Numerous public policies aimed at reducing the rising suicide rates, such as Aetna's partnership with the American Foundation for Suicide Prevention (AFSP) and the zero-suicide initiative, continue to challenge these attempts. It, therefore, remains imperative to explore the shortcomings of these efforts that hamper their efficiency in reducing suicide rates. Advancements in research over time have sparked scientific skepticism, encouraging re-evaluation of established concepts. The current paper tests prevalent assumptions and arguments to uncover a scientifically informed approach to addressing rising suicide rates in clinical settings. The Author(s), 2024.
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Gupta M.; Khurana P.; Gupta N.
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CNS Spectrums
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Cambridge University Press
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2024-01-01
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<a href="https://doi.org/10.1017/S109285292400230X" target="_blank" rel="noreferrer noopener">https://doi.org/10.1017/S109285292400230X</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213727764&doi=10.1017%2FS109285292400230X&partnerID=40&md5=2e1d03779c5319e4da7754700a7c35c6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213727764&doi=10.1017%2fS109285292400230X&partnerID=40&md5=2e1d03779c5319e4da7754700a7c35c6</a>
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ISSN: 10928529; CODEN: CNSPF
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English
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Review
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Gupta M., Southwood Psychiatric Hospital, Pittsburgh, PA, United States; Khurana P., Department of Psychology, Christ University, Delhi NCR, India; Gupta N., Department of Psychiatry, Dayton's Children Hospital, Dayton, OH, United States
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Title
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Advances in text steganography theory and research: A critical review and gaps
Description
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There is an immense advancement in science and technology, and computing systems with the highest degree of security are the present hot topic; however, the domination of hackers and espionage in terms of disclosing the sensitive information are steadily increasing. This chapter presents a theoretical view and critical examination of the few text steganography methods in the contemporary world. It tells the direction in which research has developed over the past few years. Cryptography, the encipherment to a certain extent, protects the data by making it unreadable but not safe. Improvisation of the same can be done using another layer of protection that is steganography in which the secret embedded inside the cover text will not be revealed. 2021, IGI Global.
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Gurunath R.; Samanta D.
Source
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Multidisciplinary Approach to Modern Digital Steganography, pp. 50-74.
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IGI Global
Date
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2021-01-01
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<a href="https://doi.org/10.4018/978-1-7998-7160-6.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-7998-7160-6.ch003</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115110858&doi=10.4018%2F978-1-7998-7160-6.ch003&partnerID=40&md5=e57f5e3b97fed7bdf979d56e1e319adf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115110858&doi=10.4018%2f978-1-7998-7160-6.ch003&partnerID=40&md5=e57f5e3b97fed7bdf979d56e1e319adf</a>
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ISBN: 978-179987162-0; 978-179987160-6
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Online
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English
Type
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Book chapter
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Gurunath R., Department of Computer Science, Faculty of Department of Computer Applications, Dayananda Sagar College, India; Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India
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Dublin Core
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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Advances in the use of ceramic catalysts in fine chemical synthesis
Subject
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Ceramics; esterification; hydrogenation; organic transformation; oxidation; reduction
Description
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Ceramics are versatile materials that have been put to many different uses. Catalysis is one such area where they have been used, both as catalyst and as a robust support material for catalysts. Properties like porosity and thermal and mechanical stability make ceramics attractive in these applications. Oxidation, esterification, hydrogenation, reduction, condensation reaction, and FriedelCrafts reaction are important reactions, which have uses spanning a wide range of applications, most notably in energy and environment. This chapter gives the recent advancements in ceramic materials used in the synthetic applications of the abovementioned reactions. The type and class of the ceramic material used and its role have been mentioned for these reactions. 2023 Elsevier Ltd. All rights reserved.
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Reghunath B.S.; Rajasekaran S.; Pinheiro D.; K.R. S.D.
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Ceramic Catalysts: Materials, Synthesis, and Applications, pp. 205-266.
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Elsevier
Date
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2023-01-01
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<a href="https://doi.org/10.1016/B978-0-323-85746-8.00007-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-323-85746-8.00007-2</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160688808&doi=10.1016%2FB978-0-323-85746-8.00007-2&partnerID=40&md5=1527f6b109f877284a0e57e5651465e3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160688808&doi=10.1016%2fB978-0-323-85746-8.00007-2&partnerID=40&md5=1527f6b109f877284a0e57e5651465e3</a>
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ISBN: 978-032385746-8; 978-032385633-1
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Online
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English
Type
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Book chapter
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Reghunath B.S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Rajasekaran S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; K.R. S.D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
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Title
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Articles
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Faculty Publications -Articles
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Title
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Advancing Brain Tumor Segmentation in MRI Scans: Hybrid Attention-Residual UNET with Transformer Blocks
Subject
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attention UNET; post-operative MRI; residual tumors; RESNET-50; UNET; UNET++
Description
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Accurate segmentation of brain tumors is vital for effective treatment planning, disease diagnosis, and monitoring treatment outcomes. Post-surgical monitoring, particularly for recurring tumors, relies on MRI scans, presenting challenges in segmenting small residual tumors due to surgical artifacts. This emphasizes the need for a robust model with superior feature extraction capabilities for precise segmentation in both pre-and post-operative scenarios. The study introduces the Hybrid Attention-Residual UNET with Transformer Blocks (HART-UNet), enhancing the U-Net architecture with a spatial self-attention module, deep residual connections, and RESNET50 weights. Trained on BRATS20 and validated on Kaggle LGG and BTC_ postop datasets, HART-UNet outperforms established models (UNET, Attention UNET, UNET++, and RESNET 50), achieving Dice Coefficients of 0.96, 0.97, and 0.88, respectively. These results underscore the models superior segmentation performance, marking a significant advancement in brain tumor analysis across pre-and post-operative MRI scans. 2024 by the authors of this article.
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Sobha Xavier P.; Sathish P.K.; Raju G.
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International journal of online and biomedical engineering, Vol-20, No. 6, pp. 103-115.
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International Federation of Engineering Education Societies (IFEES)
Date
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2024-01-01
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<a href="https://doi.org/10.3991/ijoe.v20i06.46979" target="_blank" rel="noreferrer noopener">https://doi.org/10.3991/ijoe.v20i06.46979</a>
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All Open Access; Gold Open Access
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ISSN: 26268493
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Online
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English
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Article
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Sobha Xavier P., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Sathish P.K., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Raju G., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Advancing Collaborative AI Learning Through the Convergence of Blockchain Technology and Federated Learning
Subject
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Blockchain technology; Collaborative learning; Decentralized AI systems; Directed acyclic graph (DAG); Federated learning
Description
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Artificial intelligence (AI) has revolutionized multiple sectors through its growth and diversification, notably with the concept of collaborative learning. Among these advancements, federated learning (FL) emerges as a significant decentralized learning approach; however, it is not without its issues. To address the challenges of trust and security in FL, this paper introduces a novel blockchain-based decentralized collaborative learning system and a decentralized asynchronous collaborative learning algorithm for the AI-based industrial Internet environment. We developed a chaincode middleware to bridge blockchain network and AI training for secure, trustworthy and efficient federated learning and presented a refined directed acyclic graph (DAG) consensus mechanism to reduce stale models impact, ensuring efficient learning. Our solutions effectiveness was demonstrated through application on an energy conversion prediction dataset from hydroelectric power generation, validating the practical applicability of our proposed system. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Indoria D.; Parashar J.; Raha S.; Himanshi; Upreti K.; Singh J.
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Lecture Notes in Electrical Engineering, Vol-1115, pp. 449-464.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-99-8661-3_33" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-8661-3_33</a>
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Restricted Access
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ISSN: 18761100; ISBN: 978-981998660-6
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Online
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English
Type
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Conference paper
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Indoria D., Department of Commerce, Vikram Dev University, Jeypore, India; Parashar J., Department of Computer Science and Engineering, Dr. Akhilesh Das Gupta Institute of Technology and Management, Delhi, India; Raha S., Department of Geography, Bhairab Ganguly College, Belgharia, Delhi, India; Himanshi, Department of Information Technology, Raj Kumar Goel Institute of Technology, Ghaziabad, India; Upreti K., Department of Computer Science Technology, CHRIST (Deemed to Be University), Ghaziabad, India; Singh J., School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India
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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
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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
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Advancing Credit Card Fraud Detection Through Explainable Machine Learning Methods
Subject
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Credit card fraud; Explainable model; Machine Learning
Description
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The world of finance has experienced a significant shift in the way money flows, due to the advancements in technologies such as online banking, card payments, and QR-based payment systems. These innovative banking payment facilities are offered by ensuring the safety of the transaction and ensuring that only the authorized customer can access and utilize these banking services. Credit card fraud is innovative way to cheat the user of the card. Government all over the word encouraging to the people for the uses of digital money. This research work focuses on analyzing the machine learning database by using a labelled dataset to classify legitimate and fraudulent business transactions with explainable AI. This study is based on decision tree, logistic regression, support vector machine and random forest machine learning techniques. 2024 IEEE.
Creator
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Adhegaonkar V.R.; Thakur A.R.; Varghese N.
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2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024, pp. 792-796.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/IDCIoT59759.2024.10467999" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IDCIoT59759.2024.10467999</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190145545&doi=10.1109%2FIDCIoT59759.2024.10467999&partnerID=40&md5=f6f1220ab34db963bc6ab60aed17c866" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190145545&doi=10.1109%2fIDCIoT59759.2024.10467999&partnerID=40&md5=f6f1220ab34db963bc6ab60aed17c866</a>
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Restricted Access
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ISBN: 979-835032753-3
Format
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Online
Language
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English
Type
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Conference paper
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Adhegaonkar V.R., Christ University, Dept of Business Management, Pune, India; Thakur A.R., Sri Balaji University, Dept of Business Management, Pune, India; Varghese N., Christ University, Dept of Business Management, Pune, India