E-grāmata: ICT Infrastructure and Computing: Proceedings of ICT4SD 2023, Volume 3

Traffic Classification of Software Defined Networks using Machine Learning.- Rice Leaf Disease Detection Using Different Models And Comparative Analysis.- 5G Mobile System Drawbacks and Limitations.- Survey on implementation of Machine Learning in Cloud Security.- Deep learning approach to predict crop yield using IOT sensor data.- Classification of Pomegranate Fruit Disease using CNN.- NICE: Navagraha Iconography Classification Engine.- Autograder: A Feature Based Quantitative Essay Grad-ing System Using BERT.- Bluetooth Automated Wheel Chair.- SCADA in Healthcare.- Data Security in a Cloud Environment using Cryptographic Mechanisms.- Secure data education: leveraging big data for enhanced academic performance and student success in educational institutions.- Drought Monitoring and Assessment Through Remote Sensing Data in Bundelkhand Area of Madhya Pradesh.- Smart glasses designed using ESP32- cam coupled with Google lens.- Hardware Architecture of Reinforcement Learning for Edge Devices.- Strengthening the Privacy of Blockchain with Zero Knowledge Proof Case Study: Online Exam Student Verification.

Milan Tuba was born in Lucani in 1952 and completed primary and secondary education in Osijek. He received B.S. in Mathematics, M.S. in Mathematics, M.S. in Computer Science, M.Ph. in Computer Science, and Ph.D. in Computer Science from University of Belgrade and New York University. From 1983 to 1994, he was in the USA first as a graduate student as well as a teaching and research assistant at Vanderbilt University in Nashville and Courant Institute of Mathematical Sciences, New York University, and later as an assistant professor of Electrical Engineering at Cooper Union Graduate School of Engineering, New York. During that time, he was the founder and the director of Microprocessor Lab and VLSI Lab, the leader of scientific projects, and a supervisor of many theses. His research interests include mathematical, queuing theory, and heuristic optimizations applied to computer networks, image processing, and combinatorial problems.  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 and 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 Moores 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 journals of repute. He has participated in numerous national and international conferences and presented over 100 papers. Amit Joshi is currently the director of Global Knowledge Research Foundation and also an entrepreneur researcher who has completed his masters and research in the areas of cloud computing and cryptography in medical imaging. He has an experience of around 10 years in academic and industry in prestigious organizations. He is an active member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA, and many other professional societies. Currently, he is an international chair of InterYIT at International Federation of Information Processing (IFIP, Austria). He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. He has also organized more than 50 national and international conferences and programs in association with ACM, Springer, IEEE, to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt, and many more.