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International Virtual Conference on Industry 4.0: Select Proceedings of IVCI4.0 2021 de R. Jagadeesh Kannan

International Virtual Conference on Industry 4.0: Select Proceedings of IVCI4.0 2021: Lecture Notes in Electrical Engineering, cartea 1003

Editat de R. Jagadeesh Kannan, S. Geetha, Sravanthi Sashikumar, Carl Diver
en Limba Engleză Hardback – apr 2023
This book presents the proceedings of the International Virtual Conference on Industry 4.0 (IVCI4.0 2021). This conference brings together specialists from the academia and industry sectors to promote the exchange of knowledge, ideas, and information on the latest developments and applied technologies in the field of Industry 4.0. The book discusses a wide range of topics such as safe and affordable housing, affordable and sustainable transport systems, mitigating adverse effects on natural disasters, mitigating environmental impact, green and public spaces, sustainable and resilient building, sustainable urbanization, and cultural and natural heritage conservation. The book supports the transfer of vital knowledge to the next generation of academics and practitioners.
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Specificații

ISBN-13: 9789811999888
ISBN-10: 9811999880
Pagini: 241
Ilustrații: VIII, 241 p. 122 illus., 89 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

Notă biografică

R. Jagadeesh Kannan is a Professor and Former Dean of the School of Computer Science & Engineering at Vellore Institute of Technology, India. He completed his Ph.D. degree in Handwritten Character Recognition using Hybrid Techniques from Anna University, Chennai, India. He got his M.E. degree in Computer Science & Engineering from National Engineering College, Tamil Nadu, and his B.E. in Instrumentation & Control Engineering from Madurai Kamaraj University, Tamil Nadu, India. Prof. Kannan has over 18 years of teaching and industrial experience in reputed organizations. Prof. Kannan has got several publications in conference proceedings and journals of national and international repute. His research interests are neural networks, fuzzy logic, neuro-fuzzy systems, soft computing tools, pattern recognition, natural language processing, image processing, networking, printed, handwritten and cursive character recognition, and artificial intelligence. Dr. Kannan is an Active Member of several Indian and international societies such as IEEE, ISTE, IACSIT, SDIWC, IFRSA, and IAENG.

S. Geetha is a Professor and Associate Dean (Research) of the School of Computer Science & Engineering at Vellore Institute of Technology, Chennai Campus, India. Dr. Geetha received her master’s (Computer Science and Engineering) and doctoral (Information and Communication Engineering) degrees from Anna University in 2004 and 2011, respectively. Her areas of interest are computer vision, information and network security, and machine learning. Dr. Geetha has co-authored 06 books, 06 book chapters, and over 100 journal and conference papers.

Sravanthi Sashikumar is Deputy Head of the Department of Engineering at Manchester Metropolitan University, United Kingdom. She received a bachelor’s degree in mechanical engineering from the University of Madras, India, in 2002 and a master’s degree in Engineering Control Systems and Instrumentation from the University of Huddersfield, in 2005. She completed her Ph.D. from the University of Bolton in 2012, and her research interest areas are structural analysis of vehicle crashworthiness, passive safety of road vehicles, vehicle occupant safety, and impact biomechanics. Dr. Sravanthi has got several publications to her credit.

Carl Diver is Academic Lead on Industry 4.0 and Reader in Industrial Digitalization at Manchester Metropolitan University. Carl joined Manchester Metropolitan University in 2018 to lead the University’s Industry 4.0 activities. Before academia, Carl worked in the manufacturing sector for over 20 years, firstly for a large multinational and then establishing his consultancy. At Delphi Automotive Systems, Carl’s focus was on fuel injection equipment from both an R&D and manufacturing angle. More recently, Carl led Industry 4.0 activity, research, and teaching for the manufacturing group in the School of Mechanical Aerospace and Civil Engineering at the University of Manchester. He helped establish the academic conference at the Industry 4.0 summit in Manchester, and his Ph.D. students won international competitions such as the Siemens Open Space challenge at Hannover Messe in 2018. Carl has been speaking about Industry 4.0 at conferences and events in the UK, Europe, the Middle East, and Asia. He is an Associate Co-editor of the Virtual and Physical Prototyping Journal and continues helping businesses with more advanced, efficient, and controlled processes.

Textul de pe ultima copertă

This book presents the proceedings of the International Virtual Conference on Industry 4.0 (IVCI4.0 2021). This conference brings together specialists from the academia and industry sectors to promote the exchange of knowledge, ideas, and information on the latest developments and applied technologies in the field of Industry 4.0. The book discusses a wide range of topics such as safe and affordable housing, affordable and sustainable transport systems, mitigating adverse effects on natural disasters, mitigating environmental impact, green and public spaces, sustainable and resilient building, sustainable urbanization, and cultural and natural heritage conservation. The book supports the transfer of vital knowledge to the next generation of academics and practitioners.

Caracteristici

Comprises peer-reviewed papers presented during the International Virtual Conference on Industry 4.0 Supports the transfer of vital knowledge to the next generation of academics and practitioners Serves as a valuable reference resource for academics and researchers across the globe

Cuprins

Pre-diagnosis, Prediction and Report Generation of a Disease.- An Audio Aided Face and Text Recognition System for Visually Impaired.- Improving Prediction Accuracy using Machine Learning Classification Techniques for Alzheimer’s Disease in Healthcare Services.- Evolutionary Computing based Feature Selection for Cardiovascular Disease: A Review.- Readiness and Maturity Assessment Model to Measure the Industry 4.0 Ecosystem.- An Insight on Context-aware Mobile Application Execution in Mobile Cloud IoT (MCIoT).- Breast Cancer Detection in Histology Images using Convolutional Neural Network.- A Novel Approach on Auto Scaling for Resource Scheduling using AWS.- A Blockchain-based COVID19 Protection Framework.- A State-Of-Art of Machine Learning Algorithms Applied Over Language Identification and Speech Recognition Models.