This book features a collection of high-quality, peer-reviewed papers presented at the Seventh International Conference on Intelligent Computing and Communication (ICICC 2024) organized by CMR Technical Campus (CMRTC), Hyderabad, Telangana, India, on August 3031, 2024. It focuses on innovation paradigms in system knowledge, intelligence, and sustainability that can be applied to provide practical solutions to several problems in society, the environment, and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology, and health care.

Presents recent innovative research in the field of communication and networks Contains results of ICICC 2024 organized in Hyderabad, India, during August 2024 Serves as a reference for young scholars, researchers, and industry professionals

Autorentext

Dr. K. Srujan Raju is currently working as Dean of Training and Placement and Heading Department of Computer Science and Engineering at CMR Technical Campus. He obtained his doctorate in Computer Science in the area of network security. He has more than 20+ years of experience in academics and research. His research interest areas include computer networks, information security, data mining, cognitive radio networks, image processing, and other programming languages. Dr. Raju worked on 2 projects funded by the Government of India under CSRI and NSTMIS and has also filed 16 patents and 5 Design Patents. Dr. Raju was invited as Session Chair, Keynote Speaker, Technical Program Committee member, Track Manager, and Reviewer for many national and international conferences also appointed as Subject Expert by CEPTAM DRDODelhi & CDAC. He has guided various student clubs for activities ranging from photography to Hackathon.

Roman Senkerik works as Professor and Head of the A.I.Lab at the Department of Informatics and Artificial Intelligence at Tomas Bata University in Zlin. He is also employed as Professor at the Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VBTechnical University Ostrava. He obtained his master's degree in technical cybernetics at the Tomas Bata University in Zlin, Faculty of Applied Informatics, in 2004, and his Ph.D. degree in Technical Cybernetics in 2008 at the same university. In 2013, he habilitated Associate Professor in Informatics, and in the same field, he obtained the title of Full Professor at VBTechnical University Ostrava in 2022. He is Author of more than 50 journal articles, 300 conference papers, several book chapters, and editorials. His research interests include artificial intelligence and distributed systems, the development of evolutionary algorithms, and general soft computing and machine learning methods.

Dr. Kishore Kumar earned his Ph.D. in signal processing in 2004 .He headed the Department of Electronics and Communication Engineering at NIT Warangal from 2015 to 2017. He was also Head of the Institute Computer Center, NIT Warangal, from 2018 to 2020. He was Visiting Professor at ESIGELEC University in France in 2009, Visiting Professor at TALLINN University, Estonia, for a semester for an M.S. in computer science, and Visiting Professor at the Asian Institute of Technology, Bangkok, in 2019 under the Secondment of Indian Faculty by MHRD, Govt. of India. He worked as Technical Officer in the Cabinet Secretariat, Prime Minister's Office, Government of India. He is Member of the Central Council Board (CCB) and Member of the Andhra Pradesh State Council for Higher Education (APSCHE). He is Member of the review committee formed by RCI and DRDO to examine a 160-crore project.

Dr. Mathini Sellathurai is currently Dean of Science and Engineering and Head of the Signal Processing for Intelligent Systems and Communications Research Group, Heriot-Watt University, Edinburgh, UK, and leading research in signal processing for Radar and wireless communications networks. Prof. Sellathurai has 5 years of industrial research experience. She held positions with Bell-Laboratories, New Jersey, USA, and with the Canadian (Government) Communications Research Centre, Ottawa, Canada. She was Associate Editorship for the IEEE Transactions on Signal Processing (2005-2018) and IEEE Signal Processing for Communications Technical Committee member (2013-2018). She was Organizer for the IEEE International Workshop on Cognitive Wireless Systems, IIT Delhi, India, 2009, 2010, and 2013, and the General Chair of the 2016 IEEE Workshop on Signal Processing Advances in Wireless Communications, Edinburgh, UK. She is also Peer Review College Member and Strategic Advisory Committee Member of Information and Communications Technology of Engineering and Physical Sciences Research Council, UK.

Dr. Voruganti Naresh Kumar M.Tech, Ph.D., is working as Associate Professor and Training Officer in CMR Technical Campus, Kandlakoya, Hyderabad, Telangana, India, under regular stream and having 12+ years of teaching experience. His area of specialization in Ph.D. is networks and presented 9+ research papers in national and international conferences and seminars in various colleges and Universities; He has published 5 research articles in book chapter with ISBN and 10+ research papers in national and international peer-reviewed and referred journals with ISSN; He is Co-Applicant and Inventor for 3 patents published in national and Member of ISTE. He has been appointed as Expert Panel Member in various organizations. He taught various subjects for Graduate and Post Graduate students. He was awarded with Aadarsha Acharya Puraskar by Indian Servers, IT of AP and Telangana, Lions Club Vijayawada.

Inhalt

MobileNet V2: Deep Learning Approach for Diabetic Retinal Image Classification.- Exploring Research Challenges and issues in Image Analysis for Sickle Cell Disease Detection.- Drug Recommendation System Based On Patient Condition using Machine Learning Algorithms.- Data-Driven Decisions: Empowering E-Commerce with RFM and Machine Learning-Based Customer Segmentation.- Object Detection and Crime Investigation.- Optimized Computational Strategy for IoT Intrusion Detection Using Robust Deep Neural Networks.- Cattle Disease Prediction Using Machine Learning Algorithms.