Proceedings of Fourth Doctoral Symposium on Computational Intelligence

This book features high-quality research papers presented at Fourth Doctoral Symposium on Computational Intelligence (DoSCI 2023), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 3, 2023. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making

Presents research works in the field of computational intelligence Serves as a reference for researchers and practitioners in academia and industry Provides original works presented at DoSCI 2023 held in Lucknow, India

Auteur

Abhishek Swaroop has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater, Noida, and Galgotias University Greater, Noida. He has served at various administrative positions such as the head of the Department, division chair, NBA coordinator for the university, head training and placements. Currently, he is serving as professor and head of Department of Information Technology in Bhagwan Parshuram Institute of Technology, Rohini, Delhi. He is actively engaged in research. He has more than 50 quality publications out of which 6 are SCI and 16 Scopus. One of his Ph.D. scholars has completed his Ph.D. from NIT Kurukshetra, and he is currently supervising one Ph.D. student from IIT Dhanbad, 2 Ph.D. students from Uttarakhand Technical University, Dehradun and 1 student from APJ Abdul Kalam Technical University, Lucknow. He has guided 10 M.Tech. dissertations and numerous B.Tech. projects.
Vineet Kansal has graduated in Computer Engineering from the GB Pant University of Agriculture and Technology, Pantnagar, and earned his M.Tech. and Ph.D. from IIT Delhi. He has been in academics for more than 28 years. Currently, he is a professor in the Computer Science and Engineering Department, Institute of Engineering Technology, Lucknow, and pro-vice-chancellor of Dr. APJ Abdul Kalam Technical University, Lucknow Uttar Pradesh. He has been the dean (UGSE) at the Dr. APJ Abdul Kalam Technical University, Lucknow. His area of research interest includes data analytics, machine learning, artificial intelligence, networking, cloud computing, big data analytics and optimization.

Giancarlo Fortino (SM'12) is a full professor of Computer Engineering at the Dept. of Informatics, Modeling, Electronics and Systems of the University of Calabria (Unical), Italy. He received a Ph.D. in Computer Engineering from Unical in 2000. He is also distinguished professor at Wuhan University of Technology and Huazhong Agricultural University (China), high-end expert at HUST (China), senior research fellow at the Italian ICAR-CNR Institute, CAS PIFI visiting scientist at SIAT-Shenzhen and distinguished lecturer for IEEE Sensors Council. He is Web of Science Highly Cited Researcher 2020. He is the director of the SPEME lab at Unical as well as co-chair of Joint labs on IoT established between Unical and WUT and SMU and HZAU Chinese universities, respectively. His research interests include wearable computing systems, e-Health, Internet of things and agent-based computing. Fortino is currently the scientific responsible of the Digital Health group of the Italian CINI National Laboratory at Unical. He is the author of 500+ papers in int'l journals, conferences and books.
Aboul Ella Hassanein is the founder and head of the Egyptian Scientific Research Group (SRGE) and a professor of Information Technology at the Faculty of Computer and Artificial Intelligence, Cairo University. Professor Hassanien is an ex-dean of the faculty of computers and information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment. Prof. Hassanien won several awards, including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990).

Contenu
The Moderating Influence of Big Data Analytics Capabilities on the Relationship between Organizational Culture and Management Effectiveness at Higher Education Institutions in Sichuan, China.- Simulation Secure MQTT protocol based on TLS in IoT-Fog Computing Environment Ola.- Application analysis and research of electronic tags based on RFID technology in the construction of the New Academic Library for University System.- An Optimal Non- Integer Controller Based Virtual Inertia Support For Frequency Control in Hybrid Microgrid.- Alteration Approach for Data Cryptography Based on Grigorchuk's Group Rules to Data Mining Objective with Cloud Computing.- Review of Deep-learning based User-identification by Typing Behavior.- COMPARISON OF DIFFERENT CLOUD COMPUTING PLATFORMS FOR DATA ANALYTICS.- Review on Depression Detection on social media using Machine Learning.- A Large Scale Multivariate Features Based Classification of Brain Hemorrhage Using Machine Learning Algorithms.- Mood Based Music Recommendation System using Supervised Learning: A Study.- Computational Models to Prove Security Protocols against Adversary.- Blockchain-Based Mechanism for Efficient and Secured Logistics Management.- CG-Transmission: A New Encrypted Transmission Method for the Data Middle Platform.- Blockchain Technology Based Framework for Anticounterfeiting and Traceability.- Blockchain-Based Mechanism for Secured Information Exchange in Digital Governance Systems.- A Study on Identification of Human using Palm Vein Recognition System.- Accident hotspot identification by Affinity propagation and compared with different clustering algorithm.