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High Performance Computing, Smart Devices and Networks: Select Proceedings of CHSN 2022 de Ruchika Malhotra

High Performance Computing, Smart Devices and Networks: Select Proceedings of CHSN 2022: Lecture Notes in Electrical Engineering, cartea 1087

Editat de Ruchika Malhotra, L. Sumalatha, S. M. Warusia Yassin, Ripon Patgiri, Naresh Babu Muppalaneni
en Limba Engleză Hardback – 2 dec 2023
This book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.
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Specificații

ISBN-13: 9789819966899
ISBN-10: 9819966892
Pagini: 572
Ilustrații: XX, 572 p. 273 illus., 209 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.13 kg
Ediția:1st ed. 2024
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

Cuprins

Analysis of Prevalence of Flat Foot in Primary School Children.- The development of advanced deep learning-based EoR Signal separation techniques.- An Integrated Deep Learning Deepfakes Detection Method (IDL-DDM).- Melanoma Detection Using Convolutional Neural Networks.- Reinforcement Learning Based Spectrum Sensing And Resource Allocation In WSN-IoT Smart Applications.- Planning and Construction of a Quantum Model of the SHA-1 Algorithm Using IBM’s Qiskit.- Machine Learning Based Path-loss Estimation Model for a 2.4 GHz ZigBee Network.- Heart Device for expectation of coronary illness utilizing Internet of Things.- An Extensive Study of Frequent Mining Algorithms for Colossal Patterns.- A Review Paper On Progressive Approach To Reduce Context Switching in Round Robin Scheduling Algorithm.- Transformer model for human activity recognition using IoT wearables.- Design and Development of a Chatbot for Personalized Learning in Higher Education.- Performance Evaluation of Concentric Hexagonal Array for Smart antenna applications.- Vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing.- Performance evaluation of neural networks based virtual machine placement algorithm for server consolidation in cloud data centers.- Artificial Neural Network Based Fault Classification and Location Identification in Over Head Transmission Lines.- E-learning paradigm in Cloud computing and pertinent challenges in models used for cloud deployment.- Parkinson’s Disease Detection: Comparative Study Using Different Machine Learning Algorithms.- Implementation of Blockchain in Automotive Industry to Secure Connected Vehicle Data: Study and Analysis.- A Study of Comparison Between YOLOv5 and YOLOv7 for Detection of Cracks in Concrete Structures.- Machine Learning-Based Identification as well as Classification of Functional and Non-functional Requirements.- Expiry Date Detection on Product Packages with the Help of a Generalized Framework Using Fully ConvolutionalNetworks.- Fake News Detection in Dravidian Languages using Transformer Models.- A Review on Artificial Intelligence Techniques for Multilingual SMS Spam detection.- Fusion of LBP and Median LBP for Dominant Region based Multimodal Recognition using Imperfect Face and Gait Cues.

Notă biografică

Dr. Ruchika Malhotra is the Head of the Department and Professor in the Department of Software Engineering at Delhi Technological University, Delhi, India. She served as Associate Dean of Industrial Research and Development at Delhi Technological University. She was awarded the prestigious Raman Fellowship for pursuing Post-doctoral research at Indiana University Purdue University Indianapolis USA. She received her master's and a doctorate in software engineering from the University School of Information Technology, Guru Gobind Singh Indraprastha University, Delhi, India. She has published over 200 research papers in international journals and conferences. Her research interests are in software testing, improving software quality, statistical and adaptive prediction models, software metrics, and the definition and validation of software metrics. 
Dr. Sumalatha Lingamgunta is the Professor of Computer Science and Engineering at the University College of Engineering Kakinada, a constituent college of JNTUK, Kakinada with over 23 years of experience. She served as Head of the Department, Director of Evaluation, and Director of Industry Institute Interaction and Placements. She graduated with her B.Tech from Acharya Nagarjuna University, M.Tech, and Doctor of Philosophy from JNTUK in CSE discipline. Her research interests are Cyber Security, Natural Language Processing & Image Processing. She has supervised 9 Ph. Ds and currently supervising 11 Ph.D. scholars. She has published 65 research papers in International Journals and Conferences. She chaired sessions and has been a keynote speaker at International Conferences. She has one patent granted and two published. 
Dr. Warusia Yassin is a senior lecturer at the Faculty of Information and Communications Technology, Universiti Teknikal Malaysia Melaka (UTeM). He completes his Bachelor's Degree in Computer Science (2007), Master of Science (2010), and Ph.D. (2015) at Universiti Putra Malaysia (UPM). He received recognition from MIMOS Berhad Malaysia as the best researcher in 2015. He bagged Silver Medal in Invention, Research and Innovation Exhibition (PRPI) 2014. He has executed various R&D, Consultancy projects funded by reputed organizations. His research interests include computer security, data mining, cloud, and quantum computing. 
Dr. Ripon Patgiri received his Bachelor’s Degree from the Institution of Electronics and Telecommunication Engineers, New Delhi in 2009. He received his M.Tech. degree from the Indian Institute of Technology Guwahati in 2012. He received his Doctor of Philosophy from the National Institute of Technology Silchar in 2019. After M.Tech. degree, he joined as an Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar in 2013. He has published numerous papers in reputed journals, conferences, and books. Also, he is awarded severalinternational patents. His research interests include distributed systems, file systems, Hadoop and MapReduce, big data, bloom filters, storage systems, and data-intensive computing. He is a senior member of IEEE. He is a member of EAI, and a lifetime member of ACCS, India. 
Dr. Naresh Babu Muppalaneni working as an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Silchar. He received his M.Tech from Andhra University and Ph.D. from Acharya Nagarjuna University. He has published more than 30 papers in different International journals, Book Chapters, conference proceedings and edited research volumes. He has published 5 volumes in Springer Briefs in Forensic and Medical Bioinformatics. He is a Fellow of IETE, a life member of CSI, a member of ISCA and a Senior Member of IEEE. He is a recipient of the Best Teacher Award from JNTU Kakinada. He has completed research projects worth 2 crore rupees from DST and DRDO. He has organized 6 International Conferences and 4 Workshops. His research interests are artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, social network analysis computational systems biology, bioinformatics and cryptography.

Textul de pe ultima copertă

This book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.

Caracteristici

Comprises of peer-reviewed papers presented during the 3rd International Conference, CHSN 2022 Presents state-of-the-art connection between computational intelligence, machine learning, and IoT Serves as a valuable reference resource for academics and researchers across the globe