Machine Learning for Social Transformation (eBook, PDF)

Proceedings of EAIT 2024
Redaktion: Mandal, Jyotsna Kumar; De, Debashis

• Format: PDF

Produktbeschreibung

The book includes original unpublished contributions presented at the Eighth International Conference on Emerging Applications of Information Technology (EAIT 2024), organized by Computer Society of India, Kolkata Chapter during 12 - 13 January 2024. The Theme of the conference is "Machine Learning for Social Transformation". The book covers the topics such as computational intelligence for social transformation, machine learning for healthcare informatics, and machine learning for agriculture and environmental sustainability.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 470
• Erscheinungstermin: 2. Januar 2025
• Englisch
• ISBN-13: 9789819775323
• Artikelnr.: 72719879

Autorenporträt

Prof. Jyotsna Kumar Mandal (F232495) Former as Vice Chancellor, Raiganj University, Raiganj, West Bengal, M. Tech. in Computer Science from University of Calcutta in 1987, awarded Ph. D. (Engineering) in Computer Science and Engineering by Jadavpur University in 2000. Professor of Computer Science & Engineering (in Lien), University of Kalyani. Former Dean, Faculty of Engineering, Technology & Management, KU for two consecutive terms during 2008-2012. Director, IQAC and Chairman CIRM Kalyani University. Served as Professor Computer Applications, Kalyani Government Engineering College for two years. He was Associate Professor Computer Science for eight years at North Bengal University and Assistant Professor Computer Science North Bengal University for seven years. He also served as lecturer at NERIST, Itanagar for one year. 35 years of teaching and research experience in Coding theory, Data and Network Security and authentication; Remote Sensing & GIS based Applications, Data Compression, Error Correction, Visual Cryptography and Steganography. Awarded 30 Ph. D. Degrees, 1 submitted and 8 are pursuing. Supervised 03 M. Phil, more than 80 M. Tech and more than 130 M.C.A. Dissertations. Guest Editor of MST Journal (SCI indexed) of Springer. Published more than 450 research articles out of which 190 articles in International Journals. Published 12 books from Springer, LAP Germany, IGI Global etc. Recently he has published a text book on Reversible Steganography and Authentication via Transform Encoding from Springer. He has Organized 55 International Conferences and Corresponding Editors of edited volumes and conference publications of Springer, IEEE and Elsevier etc. and edited 55 volumes as volume editor.  He has completed five Research Project from which grants received from AICTE and Govt. of West Bengal. He served as Secretary, and chairman IETE Kolkata Center, Chairman CSI Kolkata Chapterand CSI Siliguri Chapter. Peer Team member of NAAC Accreditation Process. Expert member of AICTE EVC. Conduct Academic Audit of Various University and Institutes. Higher Education Department, Government of West Bengal, India conferred him "Siksha Ratna" award for outstanding performance in education in 2018. Conveor ISO/IEC/JTC/ 1/SC 36/10G7 of ISO. Governing council (GC) member of IETE India. Prof. Debashis De is a Professor Department of Computer Science and Engineering at the Maulana Abul Kalam Azad University of Technology, West Bengal, India. He received M. Tech from the University of Calcutta, in 2002 and a Ph.D. from Jadavpur University in 2005. He is Senior Member-IEEE, Fellow IETE, and Life member CSI. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Heriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from 2008-2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award both in 2005 at New Delhi and in 2011 in Istanbul, Turkey, from the International Union of Radio Science, Belgium. In 2016 he received the JC Bose research award from IETE, New Delhi. In 2019 he received Shiksha Ratna Award from the Govt. of West Bengal. He established the Center of Mobile cloud computing (CMCC) for IoT applications. He is Vice-chair of Dew Computing STC of the IEEE Computer Society. He published in 360 journals and 200 conference papers, Fifteen books, and filed ten patents. His h index is 45, the citation is 9500. Listed in the Top 2% Scientist List of the world, Stanford University, USA. His research interest is Mobile Cloud Computing, IoT, and Quantum Computing. He is chairman of IETE and CSI Kolkata chapter.

Inhaltsangabe

Credibility Detection Utilizing Fuzzy Weight Strategy.- Image Caption Generation using Neural Networks.- The development of unsupervised Seq2Seq based LSTM Network algorithm for forecasting infectious disease.- Isolated Word Recognition and Feature Extraction Using Machine Learning.- Bladder Segmentation in MRI for High Dose Rate Brachytherapy Using Deep Network.- Central Bank Digital Currency: Policy Implications through Polarity and Sentiment Analysis.- Advanced Aerial Object Detection using Enhanced YOLOv3 with Leaky ReLU and Dilated Convolutions.- From Field to Cloud: IoT and Machine Learning Innovations in High-Throughput Phenotyping.- Catching Lies in the Act : Early Misinformation Detection using Linguistic Cues and Contextual Information.- DNA Sequencing-induced Cancer Detection: A Representation Learning-inspired Sustainable Transformation in Internet of Healthcare.- Prediction And Analysis of Rare Symptoms Using Association Rule Mining in Health Care Data Without Tree Generation.- Unraveling the Molecular Landscape of Myasthenia Gravis(MG): A Principal Component Analysis (PCA) of Gene Expression Dataset.- Unlocking the Potential of Machine Learning and Deep Learning for Screening of Geriatric Depression.- IoMT-based Point-of-Care Testing for PCOS Diagnosis using Dempster Shafer Theory of Evidence.- Analysis of Breast cancer classification using deep CNN with adaptive learning rate.- Detecting Schizophrenia Patients Using Deep Learning Models.- Application of Neural Network for Reducing Emission and Optimizing performance of Hydrogen with Biofuel CI Engine.- Water Distribution Network Using IoT Sensors for Residential Areas from Household Rainwater.- A Sustainable, Paperless Environment Using Machine Learning in Hospitals and Medical Sectors.- Deep Feature Learning for Detecting Water Pollution from Industrial Waste.- Multi-Linear Regression Model for Water Prediction and Monitoring in North Twenty-Four Parganas, India.- Machine Learning Based Water Need Estimation for Smart Irrigation System.- Best Defense Practices Against Web Server Attacks By Using and Evaluating NSM Tools.