Emergent Converging Technologies and Biomedical Systems: Select Proceedings of the 2nd International Conference, Etbs 2022

ISBN-13: 9789819922703 / Angielski

Shruti Jain; Nikhil Marriwala; C. C. Tripathi

Spis treści

Human Brain MRI Segmentation Approaches and Challenges: A Review.- Hyperspectral image and Deep Learning Methodology for water evaporation prediction and control system.- An Exhaustive Review on Emerging Health Care Internet of Things Technology.- A Hybrid Classification Model for Prediction of Academic Performance of Students: An EDM Application.- Fog assisted Smart healthcare prediction system for Diabetics patients.- On Some New Similarity Measures for Picture Fuzzy Hypersoft Sets with Application in Medical Diagnosis.- Survey on IoT Based Secure Health Care Framework Using Block Chain Technology.- A Methodology for Increasing Precision for the Efficient Implementation of Sigmoid Function.- Fog based Smart Healthcare Architecture in IoT Environment.- Analyzing Optimal Environment for the Text Classification in Deep Learning.- Analysis of Robotically Controlled Percutaneous Needle Insertion into ex vivo Kidney Tissue for Minimally Invasive Percutaneous Nephrolithotomy (PCNL) Surgery.- Load Balancing in Cloud Computing using Multi Agent based Algorithms.- Numerical modelling of Cu₂O based gas sensor for detection of volatile organic compounds in human breath.- Wavelet and Savitzky-Golay filter based Denoising of Electrocardiogram signal: An improved approach.- Enigmas of various Techniques to implementing Authentication and Integrity in Blockchain based Wireless Sensor Networks.- Recognitionof Hypertensionthrough Retinal Fundus Images bySegmentation of Blood Vasculature.- A Comprehensive Review of Big Data Analysis Techniques in Health-Care.- Chatbots: Understanding their world, classification, and their current state.- A Systematic Assessment on 3D based Deep Learning Models and Challenges in FER.- Energy Efficient Solar Powered Raspberry Pi Pesticide Sprayer Robot for Agriculture Applications.- Deep Learning based Ensemble Framework For Brain Tumor Classification.- Machine Learning Techniques for Human Activity Recognition using Wearable Sensors.- Multi Modality Medical Image Fusion Employing various Contrast Enhancement Techniques.- Automated Plant Health Assessment through Detection of Diseased Leaflets.- Design of a Novel Smart Device for Human Safety.- A Hybrid Multi-Objective Optimization Algorithm for Scheduling Heterogeneous Workloads in Cloud.- EEG-Based Emotion Recognition Using SVM.

O autorze

Shruti Jain is an Associate Dean (Innovation) and Professor in the Department of Electronics and Communication Engineering at the Jaypee University of Information Technology, Waknaghat, H.P, India. She has received her Doctor of Science (D.Sc.) in Electronics and Communication Engineering. She has teaching experience at around 18 years. She has filed eight patents, of which two have been granted and six are published. She has published more than 25 book chapters, and 130 research papers in reputed indexed journals and at international conferences. She has also published 14 books. She has completed two government-sponsored projects. She has guided 07 Ph.D. students and now has 04 registered students. She has also guided 11 M Tech scholars and more than 100 B Tech undergrads. She has organized 11 conferences of IEEE and Springer as Conference General Chair. Her research interests are Image and Signal Processing, Soft Computing, Internet-of-Things, Pattern Recognition, Bio-inspired Computing, and Computer-Aided Design of FPGA and VLSI circuits. She is a senior member of IEEE, an Executive member of the IEEE Delhi Section, a life member and Executive member of the Biomedical Engineering Society of India, and a member of IAENG. She is a member of the Editorial Board of many reputed journals. She is also a reviewer of many journals and a member of TPC of different conferences. She was awarded by Nation Builder Award in 2018-19 and enlisted in 2% of scientists of world rankings of 2021 published by Elsevier, data compiled by Stanford University.

 

Nikhil Marriwala (B-Tech., M-Tech. and Ph.D. in Engineering & Technology) is working as Assistant Professor and Head of the Department Electronics and Communication Engineering Department, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra. He did his PhD. at the National Institute of Technology (NIT), Kurukshetra in the department of Electronics and Communication Engineering. More than 33 students have completed their M-Tech dissertation under his guidance. He has published more than 05 book chapters in different International books, has authored more than 10-books with Pearson, Wiley, etc., and has more than 40 publications to his credit in reputed International Journals (SCI, SCIE, ESCI, and Scopus) and 20 papers in International/National conferences. He has been granted 08 Patents with 02 Indian patents and 06 International Patents. He has been Chairman of Special Sessions at more than 22 International/National Conferences and has delivered a keynote address at more than 7 International conferences. He has also acted as organizing secretary for more than 05 International conferences and 01 National Conference. He has delivered more than 70 Invited Talks/ Guest Lectures in leading Universities/Colleges PAN India. He is having an additional charge of Training and Placement Officer at UIET, Kurukshetra University, Kurukshetra for more than 11 years now. He is the Single point of contact (SPOC) and head of the local chapter of SWAYAM NPTEL Local Chapter of UIET, KUK. He is the SPOC for the Infosys campus connect program for UIET, KUK. He is the editor of more than 06 book proceedings with Springer and guest editor for a special session in the Journal Measurement and Sensors, Elsevier. He has been awarded as the NPTEL ENTHUSIASTS for the year 2019-2020 by NPTEL IIT, Madras. He has also been awarded the “Career Guru of the Month” award by Aspiring Minds. His areas of interest are Software Defined Radios, Cognitive Radios, Soft Computing, Wireless Communications, Wireless Sensor Networks, Fuzzy system design, and Advanced Microprocessors.

 

C. C. Tripathi completed his Ph.D. in electronics from Kurukshetra University, Kurukshetra. Since 2016, he is working as a Director of the University Institute of Engineering Technology (an autonomous institute), Kurukshetra University, Kurukshetra. His research areas are microelectronics, RF MEMS for communication, and industrial consultancy. He has filed 1 patent and published over 80 papers in journals and conference proceedings. Prof. Tripathi is an experienced professor with a demonstrated history of working in the higher education industry. He has been working extensively on graphene-based flexible electronic devices, sensors, etc. Presently he is working as Director, NITTTR, Bhopal.

 

Dinesh K. Kumar, B.Tech from IIT Madras, and Ph.D. from IIT Delhi is a Professor at RMIT University, Melbourne, Australia. He has published over 480 papers, authored 8 books, and is on a range of Australian and international committees for Biomedical Engineering. His passion is for affordable diagnostics and making a difference for his students. His work has been cited over 7700 times and he has also had multiple successes with technology translation. He is a member of the Therapeutics Goods Administration (TGA), Ministry of Health (Australia) for medical devices. He is also on the editorial boards for IEEE Transactions of Neural Systems and Rehabilitation Engineering and Biomedical Signals and Controls. He has been the chair of a large number of conferences and has given over 50 keynote speeches.

Blurb

The book contains proceedings of the International Conference on Emergent Converging Technologies and Biomedical Systems ETBS 2022. It includes papers on wireless multimedia networks, green wireless networks, electric vehicles, biomedical signal processing and instrumentation, wearable sensors for health care monitoring, biomedical imaging, & bio-materials, modeling and simulation in medicine biomedical, and health informatics. The book will serve as a useful guide for educators, researchers, and developers working in the area of signal processing, imaging, computing, instrumentation, artificial intelligence, and their related applications. This book will also provide support and aid to the researchers involved in designing the latest advancements in healthcare technologies.