Inventive Communication and Computational Technologies
Description
This book gathers selected papers presented at the 9th International Conference on Inventive Communication and Computational Technologies (ICICCT 2025), held on June 5-6, 2025, at Sree Sakthi Engineering College, 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.
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Persons
Dr. G. Ranganathan working as a Principal in Thamirabharani Engineering College, Tirunelveli, 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 the area of Bio Medical Signal Processing. He has total of 30+ 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 Bio Medical 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. George A. Papakostas received the diploma in Electrical and Computer Engineering in 1999, and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas currently serves as a full Professor in the Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Greece. He has (co)authored more than 70 publications in indexed journals, international conferences and book chapters. His research interests include pattern recognition, computer/machine vision, computational intelligence, machine learning, feature extraction, evolutionary optimization, signal and image processing. 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, 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
Content
An Arduino-Based Smart Car Safety System: Integrating Obstacle Detection, Battery Health Monitoring, and Smoke Detection for Enhanced Vehicle Safety.- Next generationFR1MultiportAntenna with Metasurface for Drone Networking.- Drone Positioning Estimation with Particle Filtering Augmented NR Positioning Reference Signal.- Design and Optimization of Hybrid Circuits for Low-Power Systems Using GPDK 90nm.- Smart border security: The role of AI in Modern Border Surveillance System.- Multi-Modal Data-Driven User Behavior Modeling and Personalized Advertisement Recommendation Algorithm.- DDoS Attacks Detection in SDN Using Multi-Feature Selection Approach and LLMs.- PassPhrase Authentication: A Secure and User-Friendly Multi-Factor Authentication System Using Phrase and Gesture Integration.- DDoS Attacks Detection using PSO Feature Selection and Classification using XGBoost in SDN.- Chandrayaan-3 Mission to the Moon: A Systematic Review of Analysis, Improvements, Challenges and Lunar Science Contribution.- Unveiling Triadic Patterns in Dynamic Networks Using a GAT-SAGE Hybrid Model.- Study of Stomach Abnormalities using EGG Signals.- FPGA-based approximate multipliers for EdgeAI: a Systematic Review.- Investigation of potential impact on drain current of CMOS inverter with various transistor width and temperature.- Impact of Agentic AI-Driven RPA on Strategic Management: Enhancing Decision-Making and Organizational Efficiency.- System for early detection of breast cancer using deep learning from medical imaging.- Dual-Branch Scene Text Detection for Robust Competition Number Identification in Dynamic Outdoor Environments.- Deep Learning Based Model for Landslide Detection from Synthetic Aperture Radar Imaging.- A comprehensive study of CMOS Inverter Power Consumption with Transistor Width and Temperature Variations Using Cadence Virtuoso.- Analysing the Optimization of Cooling Systems in Industrial Settings: Exploring Efficiency and Cost Reduction.- Modeling of Solar Panel Installation Mechanism for Hybrid Energy Systems in Azerbaijan.- System for Increasing the Accuracy of Digital Information Processing.- Performance Evaluation of Different Shapes of Patch Antenna for 5G Applications at 25 GHz.- An Approach Based on the PRESENT Lightweight Cipher to Ensure Security and Performance Balance for IoT Devices.- Transformer-based Bidirectional Encoder SQL Representations for Interpretable Cyber Attack Detection Using Ensemble Learning.- ML-Driven Analysis of NavIC-Based Tracking for Route Optimization in Urban Air Mobility.- Real Time Crash Forecasting using a Stacking-Based Machine Learning Ensemble.- Algorithm for assessing threats to information security.- A Smarter Plate: Enhancing Food Delivery Apps with Personalized Proportion Sizing and Nutritional Awareness.- HoloChef: 3D Culinary Guide with Speech Command.- Zero-knowledge Enhanced Adaptation Learning (ZEAL): A Framework for Verifiable Model Adaptation.- JOVA Robotic Prosthetic Arm.- Assess the Effects to Organs Induced by I-131 Radiopharmaceutical Accumulates in Thyroid Gland by Monte Carlo Simulation.- Voltage Regulation in a 33 Bus Distribution System with Integrated STATCOM and Grey Wolf Optimizatıon.- Real Time People Monitoring using MobilNet-SSD.- Performance Optimization of a PV Module Integrated with Fuzzy/NN INC-Based MPPT and Zeta DC-DC Converter for Grid-Connected Applications.- MobileFormer: Efficient Stroke Lesion Detection with Lightweight CNN- Transformer Fusion.- Comparative Analysis of Iron Oxide (Fe 3 O 4 ) Nanoparticles and Iron Oxide-Tungsten Trioxide (Fe 3 O 4 - WO 3 ) Nanocomposites using Digital Image Processing Techniques.- Sustainable Healthcare Systems through Arduino- Driven Medical Waste Segregation and Disposal Monitoring.