ICT Systems and Sustainability

Challenges In Adoption Of Secure Digitisation Of Graduate Assessments: Scope For Block Chain Technologies.- Non-Performing Assets Analysis Using Machine Learning.- Volatile Memory Disk Forensics: Investigate the Criminal Activity of RAMDisk.- Modem Functionality Diagnostic Tool with Graphical User Interface for Cellular Network.- Regression Model to Estimate Effort for Software Oriented Projects.- Innovative Technology Based Social Enterprises for Inclusive Sustainable Healthcare in India.- Classification of leaves using Convolutional Neural Network and Logistic Regression.- A Low Cost IoT Enabled Device for Real Time Air Quality Monitoring System.- Fuzzy-Based Predictive Analytics for Early Detection of disease - a machine learning approach.- A Framework for Remote Health Monitoring.- GenNext - An Extractive Graph Based Text Summarization Model For User Reviews.- An adaptive control for surrogate assisted multi-objective evolutionary algorithms.- Study and Analysis of NOMA downlink transmission model in 5G Wireless System.- Network Structural Analysis based on Graphical measures and metrics.- Lung tumor classification using CNN and GLCM based features.

Milan Tuba received his B.S. and M.S. in Mathematics, and M.S., M.Ph., and Ph.D. in Computer Science from the University of Belgrade and New York University. He was an Assistant Professor of Electrical Engineering at Cooper Union Graduate School of Engineering, New York. During that time, he was the Founder and Director of Microprocessor Lab and VLSI Lab, and led scientific projects. Since 1994, he has participated in the scientific projects for the Republic of Serbia's Ministry of Science. Currently, he is the Vice Rector of Singidunum University, Serbia. His research interests include mathematical, queuing theory, and heuristic optimizations applied to computer networks, image processing, and combinatorial problems. He is the author of more than 150 scientific papers and a monograph. He has held ten plenary lectures at conferences at Harvard, Cambridge, Moscow, Paris, and Istanbul. He is also a Co-Editor, member of the editorial board, scientific committee member, and a Reviewer for several international journals and conferences. He is a member of various international and scientific organizations: ACM, IEEE, AMS, SIAM, and FNA.

Shyam Akashe is a Professor at ITM University, Gwalior, Madhya Pradesh, India. He completed his Ph.D. at Thapar University, Punjab, and his M.Tech. in Electronics and Communication Engineering at the Institute of Technology & Management, Gwalior. He has authored 190 publications, including more than 50 papers in SCI-indexed journals. His main research focus is low-power system on chip (SoC) applications in which static random access memories (SRAMs) are omnipresent. He has authored two books entitled Moore's Law Alive: Gate-All-Around (GAA) Next Generation Transistor published by LAMBERT Academic Publishing, Germany, and Low Power High Speed CMOS Multiplexer Design published by Nova Science Publishers, Inc., New York, USA. He has also published over 120 papers in leading national and international refereed