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Section 1: Machine Learning and Applications.- Chapter 1. AVENet:Attention based VGG 16 with ELM for obscene image classification.- Chapter 2. Analyzing Market Dynamics of Agricultural Commodities: A Case&nbsp; Study based on Cotton.- Chapter 3. Feature Selection for Nepali Part-Of-Speech Tagging in a Conditional Random Fields based System.- Chapter 4. Design and Development of a ML-based Safety-Critical Fire&nbsp; Detection System.- Chapter 5. Compressed Image Super-Resolution using Pre-trained Model Assistance.- Chapter 6. Optimization of Character Classes in Devanagari Ancient Manuscripts and Dataset Generation.- Chapter 7. Deep Learning based Classification of Rice Varieties from Seed Coat Images.- Chapter 8. Leaf Based Plant Disease Detection Using Intelligent Techniques – A Comprehensive Survey.- Chapter 9. Bengali Document Retrieval Using Model Combination.- Chapter 10. Deep Neural Networks Fused with Textures for Image Classification.- Chapter 11. Real Time Prediction of In-Hospital Outcomes using a&nbsp; Multilayer Perceptron deployed in a Web-based Application.- Chapter 12. Automated analysis of Connections in Model Diagrams.- Chapter 13. No-reference Image Quality Assessment using Meta-Learning.- Section 2: Security.- Chapter 14. Cryptanalysis of Markle Hellman Knapsack Cipher using Cuckoo Search Algorithm.-Chapter 15. Generating a Suitable Hash Function using Sudoku for Blockchain Network. etc.<div><br></div>

<div><div><p></p><p><b>Dr. Ram Sarkar</b> received his B. Tech degree in Computer Science and Engineering from University of Calcutta, India in 2003. He received his M.E. degree in Computer Science and Engineering and PhD (Engineering) degree from Jadavpur University, Kolkata, India in 2005 and 2012 respectively. He joined the department of Computer Science and Engineering of Jadavpur University as an Assistant Professor in 2008, where he is now working as a full Professor. He received the Fulbright-Nehru Fellowship (USIEF) for post-doctoral research in University of Maryland, College Park, USA in 2014-15. He has published more than 400 research papers in various Journals and Conference Proceedings. His research areas include Image and Video Processing, Optimization Algorithms and Deep Learning. He is a senior member of the IEEE, and member of ACM.</p><p><b>Dr. Sujata Pa</b>l is an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Ropar. She received her Ph.D. degree from Indian Institute of Technology Kharagpur. Sujata was a recipient of Tata Consultancy Services (TCS) Research Scholarship for 4 years for pursuing the Ph.D. program. She was awarded the prestigious Schlumberger Faculty for the Future Fellowship for two consecutive years (2015 and 2016). She was a Postdoctoral fellow at the University of Waterloo, Canada, before joining IIT Ropar. Her research works have been published in high quality international journals, such as IEEE TMC, TPDS, TC, TCyb, ACM Computing Surveys, conferences, a book and several book chapters. Her research interests include IoT, Wireless Body Area Networks, Software Defined Networks, Delay Tolerant Networks, Content Centric Networks, Mobile Ad hoc Networks, and Wireless Sensor Networks.</p><p><b>Dr. Subhadip Basu</b> is a Full Professor in the Computer Science and Engineering Department of Jadavpur University, where he joined in 2006. He received his PhD from Jadavpur University and did his postdocs from University of Iowa, USA, and University of Warsaw, Poland. Dr Basu holds an honorary position as a Research Scientist at the University of Iowa, USA, since 2016. He is the Co-Founder and Honorary Advisor of Infomaticae, a technology startup headquartered in Kolkata, India. He has also worked in reputed International Institutes like, Hitachi Central Research Laboratory, Japan, Bournemouth University, UK, University of Lorraine, France, Nencki Institute of Experimental Biology, Poland and Hannover Medical School, Germany. Dr Basu has 250+ international research publications in the areas of Pattern Recognition, Machine Learning, Bioinformatics, Biomedical Image Analysis etc. He has edited ten books, received two US patents, supervised 10 PhD students and received several major research grants from UGC, DST and DBT, Govt. of India. Dr Basu is the recipient of the ‘Research Award’ from UGC, Govt. of India in 2016. He also received the DAAD Senior-Scientist fellowship from Germany, Hitachi Visiting-Research fellowship from Japan, EMMA and CLINK Visiting-Researcher fellowships from the European Union, BOYSCAST and FASTTRACK Young-Scientist fellowships from DST, Govt. of India. He is the past Chairperson of the IEEE Computer Society Kolkata, a senior member of IEEE, member of ACM and life member of IUPRAI.</p><p><b>Dr. Dariusz Plewczynski</b> is a professor at University of Warsaw in Center of New Technologies CeNT, Warsaw, Poland, the head of Laboratory of Functional and Structural Genomics and the principal investigator at Mathematics and Information Science Department at Warsaw University of Technology. His interests are focused on functional and structural genomics. Functional genomics attempts to make use of the vast wealth of data produced by high-throughput genomics projects, such as the structural genomics consortia, Human genome project, 1000 Genomes Project, ENCODE, and many others. The major tools that are used in this interdisciplinary research endeavor include statistical data analysis (GWAS studies, clustering, machine learning), genomic variation analysis using diverse data sources (karyotyping, confocal microscopy, aCGH microarrays, next generation sequencing: both whole genome and whole exome), bioinformatics (protein sequence analysis, protein structure prediction), and finally biophysics (polymer theory and simulations) and genomics (epigenetics, genome domains, three dimensional structure analysis of chromatin). He is presently involved in several Big Data informatics projects at Faculty of Mathematics and Information Sciences at Warsaw University of Technology, biological experiments at the Centre of New Technologies at University of Warsaw (his second affiliation), collaborating closely with The Jackson Laboratory for Genomic Medicine (an international partner of the TEAM project), and The Centre for Innovative Research at Medical University of Bialystok (UMB). He was actively participating in two largeconsortia projects, namely 1000 Genomes Project (NIH) by bioinformatics analysis of genomic data from aCGH arrays and NGS (next generation sequencing, deep coverage) experiments for structural variants (SV) identification; and biophysical modeling of chromatin three-dimensional conformation inside human cells using HiC and ChIA-PET techniques within the 4D Nucleome project funded by the NIH in the USA. His goal is to combine the SV data with three-dimensional cell nucleus structure for better understanding of normal genomic variation among human populations, the natural selection process during human evolution, mammalian cell differentiation, and finally the origin, pathways, progression, and development of cancer and autoimmune diseases.</p><p> </p><p><b>Dr. Debotosh Bhattacharjee </b>is working as a full professor in the Department of Computer Science and Engineering, Jadavpur University, with nineteen years of post-PhD experience. His research interests pertain to the applications of machine learning techniques for Face Recognition, Gait Analysis, Hand Geometry Recognition, and Diagnostic Image Analysis. He has authored or co-authored more than 280 journals and conference publications, including several book chapters in Biometrics and Medical Image Processing.&nbsp; Two US patents have been granted on his works. Prof. Bhattacharjee has been granted sponsored projects by the Govt. of India funding agencies like the Department of Biotechnology (DBT), Department of Electronics and Information Technology (DeitY), University Grants Commission (UGC) with a total amount of around INR 2 Crore. For postdoctoral research, Dr. Bhattacharjee has visited different universities abroad like the University of Twente, The Netherlands;&nbsp; Instituto Superior Técnico, Lisbon, Portugal; University of Bologna, Italy; ITMO National Research University, St. Petersburg, Russia; University of Ljubljana, Slovenia; Northumbria University, Newcastle Upon Tyne, UK and Heidelberg University, Germany. He is a life member of the Indian Society for Technical Education (ISTE, New Delhi), the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), a senior member of IEEE (USA), and a fellow of the West Bengal Academy of Science and Technology.</p><p></p></div></div>

<p>This book gathers high-quality research papers presented at the 3rd International Conference on Frontiers in Computing and Systems (COMSYS 2022) held at Indian Institute of Technology Ropar, Punjab, India, during December 19–21, 2022. The book covers research in “cyber-physical systems for real-life applications” pertaining to AI, machine learning, and data science; devices, circuits, and systems; computational biology, biomedical informatics and network medicine; communication networks, cloud computing and IoT; image, video and signal processing; and security and privacy.</p><br><p></p>

Presents research works in the field of computing and systems Gathers the outcomes of COMSYS 2022, held at IIT Ropar, India Serves as a reference resource for researchers and practitioners in academia and industry