Inventive Communication and Computational Technologies

Proceedings of ICICCT 2026, Volume 2
Erscheinungsjahr 2027
ISBN: 978-3-032-42216-3
Verlag: Springer

Buch, Englisch, 462 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book gathers selected papers presented at the 10th International Conference on Inventive Communication and Computational Technologies (ICICCT 2026), held on July 29–30, 2026, at Dhaanish Ahmed Institute of Technology, Coimbatore, India. The book covers 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.

Zielgruppe

Research

Autoren/Hrsg.

Ranganathan, G.

Shi, Yong

Rocha, Alvaro

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Wide-band Sensor for Microwave-Based Prostate Anomaly Detection.- A Hybrid Cyber Intelligent Risk Assessment for IEC61850 Based Digital Substations Using Isolation Forest, SBERT Correlation and Exploit Probability Models.- Hybrid Quantum-Classical Model for Geospatial Visualization and Prediction of Natural Disasters in India.- Fuzzy Logic–Based Asymmetric DC-Link Voltage Regulation Enabling Dual MPPT in Three-Level Inverters for EV Motor Drives.- Development of Microwave Sensor for Non-Destructive Testing.- Multi-Channel Multi-Scale Deep Learning Model for Weather Forecasting.- Design and Development of C Band Microstrip Sensor for Non Invasive Glucose Sensing.- Design and Evaluation of Edge Gateway Software Stack for IoT Applications in Unreliable Networks.- Design and Simulation of a Hybrid MEMS– Piezoelectric Self-Powered Tunable Bandpass Filter for Batteryless IoT and Wireless Sensor Networks.- An Energy–Carbon Measurement Framework for Sustainable Database Systems.- Design and Analysis of a Low-Power Clipping Counter Using Full-Swing Pass-Transistor Logic.- A Multi-Factor, Proxy-Resistant Attendance System Using Facial Expression Analysis, QR Code, and Location Validation.- An Ensemble Learning Framework for Delinquency Prediction Using Tree-Based and Boosting Algorithms.- Enterprise Social Image and Stock Market Dynamics: A Knowledge Graph-Driven Correlative Analysis.- An Explainable Intrusion Detection Framework for Intelligent Stock Market Surveillance.- Etc.

Über Autor(innen)

Dr. G. Ranganathan working as a Principal in  Dhaanish Ahmed Institute of Technology, Coimbatore, India. He has done his PhD in the Faculty of Information and Communication Engineering from Anna University, Chennai in the year 2013. His research thesis was in Bio Medical Signal Processing. He has a total of 30+ years of experience both in industry, teaching and research. He has guided several projects 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 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.

Dr. Yong Shi currently working as an Associate/Tenured Professor of Computer Science, Kennesaw State University and Director/Coordinator of the Master of Computer Science. He is responsible for directing the Master of Computer Science program, reviewing applications for the Master of Computer Science. He has published more than 50 articles in national and international journals. He acted as an editor, reviewer, editorial board member and program committee member in many reputed journals and conferences. His research interests include Cloud Computing, Big Data, and Cybersecurity.

Dr. Álvaro Rocha holds Habilitation in Information Science, PhD in Information Systems and Technologies, MSc in Information Management, and BCs in Computer Science. He is Professor of Information Systems and Software Engineering at University of Coimbra, researcher at CISUC (Centre for Informatics and Systems of the University of Coimbra) and a collaborator researcher at LIACC (Laboratory of Artificial Intelligence and Computer Science) and at CINTESIS (Center for Research in Health Technologies and Information Systems). 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.