Soft Computing for Security Applications

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2023), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 2122, 2023. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning, and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.

Provides original works presented at ICSCS 2023 held in Salem, India Presents research works in the field of soft computing for security applications Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Dr. G. Ranganathan working as Professor and Head in Gnanamani College of Engineering and Technology, Namakkal, India. He has done his Ph.D. in the Faculty of Information and Communication Engineering from Anna University, Chennai, in the year 2013. His research thesis was in the area of Bio-medical Signal Processing. He has 29+ years of experience in industry, teaching, and research. He has guided several project works for many UG and PG students in the areas of bio-medical signal processing. He has served as Referee for many reputed International Journals published by Elsevier, Springer, Taylor and Francis, etc. He has membership in various professional bodies like ISTE, IAENG, etc., and has actively involved himself in organizing various international and national level conferences, symposiums, seminars, etc. His research interest includes soft computing, computational intelligence, and neural networks. Dr. Youssouf El Allioui got his Ph.D. in 2012 from Sidi Mohamed Ben Abdellah University, Fez, Morocco. Currently, he is Professor at the department of computer science, University of Sultan Moulay Slimane, Beni Mellal, Morocco. He works in a multidisciplinary environment involving machine learning, educational data mining (EDM), semantic web, knowledge management, Web Personalization and Recommender Systems, E-learning, and semantic E-learning. His research focus is to study those research fields to come up with solutions to various real-world problems. He published several research papers at international journals and conferences. He served as Member of the technical committees of several international conferences and workshops. Dr. Selwyn Piramuthu is Professor of Information Systems and Operations Management at the University of Florida, where he has taught since fall 1991. Trained in machine learning, his research interests also include cryptography with applications related to IoT/RFID, privacy/security, and supply chain management, among others. His (co-authored with Wei Zhou) book titled, "RFID and Sensor Network Automation in the Food Industry" was published by Wiley in 2016. He received his B.Tech., M.S., and Ph.D., respectively, from IIT-Madras, University of Arizona, and University of Illinois at Urbana-Champaign.

Inhalt
Chapter 1: Designing Recommendation System For Hotels Using Cosine Similarity Function.- Chapter 2: Vehicle Detection in Autonomous Vehicles using Computer Vision.- Chapter 3: Analysis of the Volume of Costs and Profits Under Conditions of Uncertainty Using the Method of Fuzzy Logic.- Chapter 4: Deep Learning based Sign Language Recognition and Translation.- Chapter 5: Automated Suspicious Activity Detection from Surveillance Videos.- Chapter 6: Emergence of Blockchain Technology in various Smart IoMT-enabled Healthcare Security Scenarios.- Chapter 7: Elderly People Assistance based on advanced Hardware module and a Mobile App.- Chapter 8: Escasalus-ML Based Food Quality Checker.- Chapter 9: IoT and Machine Learning based Soil Quality and Crop Yield Prediction For Agricultural System.- Chapter 10: Blockchain Technology Based Holiday Exchange Network. etc.