International Virtual Conference on Industry 4.0

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.

R. Jagadeesh Kannan is Professor and 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 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 & 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 Professor and Associate Dean 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 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