Hassanien / Anand / Jaiswal Innovative Computing and Communications

Proceedings of ICICC 2025, Volume 3
Erscheinungsjahr 2025
ISBN: 978-981-966715-4
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 651 Seiten

Reihe: Engineering

This book includes high-quality research papers presented at the Eighth International Conference on Innovative Computing and Communication (ICICC 2025), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 14–15 February 2025. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Zielgruppe

Research

Autoren/Hrsg.

Hassanien, Aboul Ella

Anand, Sameer

Jaiswal, Ajay

Kumar, Prabhat

Inhaltsverzeichnis

chapter 1 :"Comparative Analysis of Deep Learning Architectures for PCOS Detection: A CrossValidation Approach".- chapter 2 :Terrain Guard: Smart Landslide Detection and Alert System .- chapter 3 :Comparative Analysis of Balanced a n d Imbalanced Datasets of Human Peripheral Blood Cells using EfficientNet BO-B7 Models.- chapter 4 :Enhancing Lung Cancer Diagonosis through CNN-based Analysis clinical and Histopathological Data.- chapter 5 :"Adaptive Convolutional Neural Network Model for Plant Leaf Disease Detection in Smart Agriculture".- chapter 6 :Innovative approaches to early disease Detection in Medicinal Plants using Deep Learning Techniques.- chapter 7 :TweetScope: Unlocking Sentiment Insights with Machine Leaming and Deep Leamlna Svnerav.- chapter 8 :Modern Neuro-Fuzzy Soft Computing Models for Pile Foundation Bearing Capacity: A Comparison of ANFIS and PSO- ANFIS.- chapter 9 :Comparative Analysis of Machine Learning Techniques in the Oil and Gas Pipeline and Automobile Industries.- chapter 10 :Conventional and AI-Based Imaging Techniques for Biomarker Discovery in Chronic Liver Disease.- chapter 11 :AI-Driven Optical Sensing Techniques for Non-Invasive Kidney Function Evaluation.- chapter 12 :Predicting Cryptocurrency Prices Using Various Time Series ML Models.- chapter 13 :Comparison of Li-ion battery and supercapacitor in EV using Simulink .- chapter 14 :Solar Photovoltaic Networked Microgrid Design and Operational Performance Measurements.- chapter 15 :"A Comprehensive Guide to Post-Quantum Cryptography and Lightweight Security Solutions".- chapter 16:Medical Data Security for e-Healthcare Practices: A Review Quantification.- chapter 17 :Overlapping Community Detection using CNN with PSO Optimization and fuzzy C-means.- chapter 18 :Machine Learning-Based Cybersecurity Mechanisms for IoT Networks: Detection and Prevention of Cyber Attacks.- chapter 19 :Advanced Supervision Systems in Exercise Training: Integrating Human Oversight with Wearable Technology for Performance Enhancement .- chapter 20 :Improving Predictive Analysis through Integrated Transfer Learning: Leveraging Fine-Tuning and Model Stacking Techniques.- chapter 21 :A Systematic Literature Review on Recent Advancements in Emotion Detection from Text Using Dep Learning Techniques.- chapter 22 :A Review of Explainable AI Techniques for enhancing Interpretability in Healthcare.- chapter 23:Sonosync : Intelligent Traffic Optimiztion System for Hairpin Bends.- chapter 24:Comparison of Li-ion battery and supercapacitor in EV using Simulink.- chapter 25:A Study on Blockchain Technology: Architecture, Consensus and Applications.- chapter 26:Phishing URL Detection using Machine Learning: Harnessing Data Analysis to Strengthen Cyber security.- chapter 27 :IOT based On-Board Units for Smart Traffic Control Aligned with Industry 4.0.- chapter 28 :Deep LocAWS: A Deep Multilayer Perceptron Neural Network Collaborative Filtering for Location-Aware Web Service ecommendation.- chapter 29:Enhancing Adaptability, Security, and Resource Optimization by Converging Generative AI with IoT.- chapter 30:AI-driven Education Loan Approval Automation for Indian Banks .- chapter 31:SIGN LANGUAGE RECOGNITION USING DEEP LEARNING AND COMPUTER VISION .- chapter 32:Current Trends and Future Prospects of Generative AI-Driven IoT.- chapter 33:loT-Enabled Adaptive Traffic Signal Control System for Real-Time Emergency Vehicle Prioritization and Traffic Flow Optimization.- chapter 34:A Hybrid DCNN-Gradient Boosting Approach for Glaucoma Severity Stage Detection with Instance Segmentation-Based Cup-Disc Localization .- chapter 35:Intelligent Management of Distribution Mechanisms Based on Machine Learning Algorithms for Optimal Data Storage.- chapter 36:Edge-Driven Real-Time UAV Thermal Imaging for Survivor Identification.- chapter 37:AI Enhanced Real Time Cross-Platform City Bus Tracking System with Integrated Chatbot.- chapter 38:Bridging the Gap Between Modalities: Advances and Challenges in Medical Image Fusion.- chapter 39:Advancing Malware Detection Through Comparative Analysis of Traditional Methods and Dynamic Hybrid Approaches with Machine Learning.- chapter 40:A System for Monitoring Chronic Disease Patients in Nursing Homes Using Machine Learning Techniques .- chapter 41 :Assessing Machine Learning Approaches for Load Pattern Analysis in Low Voltage Distribution System .- chapter 42 :Fuzzy Sets and Modified Spatial Frequency based Medical Image Fusion in UDWT Domain .- chapter 43:"Deep Learning-Assisted Detection of Bone Fractures: .- chapter 44:A CNN Approach for Enhanced Diagnostic Accuracy".- chapter 45:Vector base in AI: A theoritical Framework for efficient data handling and retrieval.

Über Autor(innen)

Dr. (Prof.) Aboul Ella Hassanien is the Founder and Head of the Egyptian Scientific Research Group (SRGE). He has authored over 1000 research papers in esteemed international journals and more than 50 books spanning data mining, medical imaging, intelligent systems, social networks, and smart environments. Prof. Hassanien has received numerous accolades, including the Best Researcher of the Youth Award in Astronomy and Geophysics from the National Research Institute (Egypt, 1990), the Scientific Excellence Award in Humanities from the University of Kuwait (2004), and the Superiority of Scientific - University Award from Cairo University (2013). He was also recognised as the best researcher at Cairo University in 2013 and received the ISESCO Prize for Technology in 2014.

Prof. Sameer Anand is a Professor in the Department of Operational Research, Faculty of Mathematical Sciences, University of Delhi. He holds M.Sc., M.Phil., and Ph.D. degrees in Software Reliability, all from the University of Delhi. Prof. Anand received the "Best Teacher Award" (2012) from the Directorate of Higher Education, Government of NCT, Delhi. He serves as an Associate Editor for the International Journal of System Assurance Engineering and Management." His research focuses on Software Reliability, Mathematical modelling, Optimization, Supply Chain Management, and Machine Learning. He has published over 45 research papers in reputed journals, including IEEE Transactions on Reliability, Expert Systems, and the International Journal of Production Research (Taylor & Francis). Prof. Anand has also edited seven books comprising 17 volumes. Before joining the university department, he held roles such as Professor, Vice Principal, and Officiating Principal at Shaheed Sukhdev College of Business Studies, DU.

Prof. Ajay Jaiswal has an academic background from prestigious institutions like IIT Roorkee and JNU. With over 25 years of experience in academics, research, and administration, he currently serves as the Principal of the School of Open Learning, University of Delhi. Additionally, he holds the position of OSD at the Institute of Cyber Security Law, University of Delhi. A prolific author and researcher, Prof. Jaiswal has contributed to numerous research articles and books and has been actively involved in editorial and organizing committees for journals and international conferences. His research interests include Pattern Recognition, Image Processing, and Machine Learning. He was honored as the “Best Teacher” by the Government of NCT Delhi for 2013-14.

Dr. (Prof.) Prabhat Kumar is a Professor in Computer Science and Engineering at NIT Patna, India. He holds multiple administrative roles, including Chief Proctor and Head of the Centre for Computing and Information Services. Previously, he served as Head of the CSE Department and State Student Coordinator for Bihar in CSI. A senior member of IEEE and a professional member of ACM, Prof. Kumar is part of National Working Group 13 (NWG-13) for ITU-T Study Group 13, focusing on Future Networks and Cloud Computing. He has over 150 publications in reputed journals and conferences, three authored books, two completed research projects, and four granted Indian patents. He has supervised 13 Ph.D. and 28 M.Tech scholars, chaired international conferences, and reviewed SCI/Scopus-indexed journals. His research interests include Wireless Sensor Networks, IoT, Data Analytics, Software Engineering, and E-Governance.