This book gathers selected papers presented at the 7th International Conference on Inventive Communication and Computational Technologies conference (ICICCT 2023), held on May 22-23, 2023, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Illustrationen
387
111 s/w Abbildungen, 387 farbige Abbildungen
XXXI, 1132 p. 498 illus., 387 illus. in color. In 2 volumes, not available separately.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 60 mm
Gewicht
ISBN-13
978-981-99-5165-9 (9789819951659)
DOI
10.1007/978-981-99-5166-6
Schweitzer Klassifikation
Dr. G. Ranganathan working as a professor and head in Gnanamani College of 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 biomedical signal processing. He has total of 29+ years of experience both in industry, teaching and research. He has guided several project works for many UG and PG Students in the areas of biomedical signal processing. He has published more than 35 research papers in international and national journals and conferences. He has also co-authored many books in electrical and electronics subjects. He has served as a 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.
Dr. George A. Papakostas received a diploma in Electrical and Computer Engineering in 1999 and an M.Sc. and Ph.D. degree in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas is a Tenured Full Professor in the Department of Computer Science, at International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design, as a senior software engineer and technical manager in INTRACOM TELECOM S.A. and INTALOT S.A. companies. Currently, he is the Director of the "MLV Research Group" (Machine Learning and Vision Research Group). He has (co)authored more than 200 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 2 edited books and 5 journal special issues. His publications have more than 3000 citations with h-index 32 (Google Scholar). His research interests include machine learning, computer/machine vision, pattern recognition, and computational intelligence. Dr. Papakostas served as a reviewer in numerous journals and conferences, and he is a member of the IAENG, MIR Labs, EUCogIII and the Technical Chamber of Greece (TEE).
Dr. Álvaro Rocha holds Habilitation in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management and BCS in Computer Science. He is a professor of Information Systems and Software Engineering at University of Coimbra, a researcher at Centre for Informatics and Systems of the University of Coimbra (CISUC) and a collaborator researcher at Laboratory of Arti?cial Intelligence and Computer Science (LIACC) and at Center for Research in Health Technologies and Information Systems (CINTESIS). His main research interests are Information Systems Planning and Management, Maturity Models, information systems quality, online service quality, intelligent information systems, software engineering, e-government, e-health and information technology in education.
Mitigating Vanishing Gradient in SGD Optimization in Neural Networks.- A Comparative Analysis of Heart Disease Diagnosis with Machine Learning Models.- The Impact of Information System and Technology of Courier Service During Pandemic.- Event Detection in Social Media Analysis: A Survey.- Artificial Intelligence Mechanism to Predict the Effect of Bone Mineral Density in Endocrine Diseases - A Review.- Evaluation of Deep Learning Models with Metrics using Soybean Crop and Broad-leaf Weed Classification.- Bluetooth Controlled Integrated Robotic Arm with Temperature and Moisture Sensor Modules.- Image Dehazing using Generic Model Agnostic Convolutional Neural Network.- A Novel Approach to Build Privacy and Trust in Vehicle Sales using DID.- Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning.- Oceanographic and Hydrological Study of the Moroccan Atlantic Coast: Focus on the Upwelling.
