This book includes high-quality research papers presented at the Ninth International Conference on Innovative Computing and Communication (ICICC 2026), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 6–7 February 2026. 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.
Table of Contents:
Converging Generative AI, Multimodal Learning, and Large Language Models: A Pathway Towards Universal Intelligence and Knowledge Creation.- Learning Channel-Wise Mix-Gated Attention Fusion in YOLOv11s for Crowd-Aware Person Detection.- Development of an application for Soil Quality and Crop Prediction using Machine Learning.- A NOVEL APPROACH FOR EMPLOYEE ATTRITION PREDICTION USING QUANTILE ISOLATED TRANSFORMATION WITH FEATURE SELECTION METHOD.- Real-Time Cloud Threat Detection and Visualisation System using NLP and MITRE ATT&CK.- AI Models in Prenatal and Postnatal Health Care: A Comprehensive Study .- Blockchain-Enabled Secure Identity Management with ML-Driven Threat Analytics.- Power Quality Analysis of the Electrical System of a Meat Processing Company.- Confidence-Edit Lightweight CNN: Self-Editing Mechanism for Robust Learning Under Noisy Labels.- Machine Learning Approaches for Financial Fraud Detection: An Empirical Evaluation on an Imbalanced Transaction Dataset.- Flower Pollination Algorithm for Optimum Frequency Domain Design of Tuned Mass Dampers for Structures with Different Damping.- Generative Adversarial Network Enhanced Imaging for Accurate and Early Detection of Bovine Tuberculosis.- Sensitivity Analysis in the Parametric Estimation of the ZIP Load Model: An Approach Based on the Percentage Distribution of its Coefficients.- A Novel Deep Learning Framework for Automated Identification and Classification of Indian Bird Species Using Convolutional Neural Networks.- A Machine Learning–Based Approach for Eye State Classification Using Multichannel EEG Signals.- etc.
About the Author :
Dr. (Prof.) Aboul Ella Hassanein is the Founder and Head of the Egyptian Scientific Research Group (SRGE). Hassanien has more than 1000 scientific research papers published in prestigious international journals and over 50 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment. Prof. Hassanien won several awards including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award, and received the superiority of scientific - University Award (Cairo University, 2013). Also He honored in Egypt as the best researcher in Cairo University in 2013. He was also received the Islamic Educational, Scientific and Cultural Organization (ISESCO) prize on Technology (2014) and received the state Award for excellence in engineering sciences 2015.
Dr. Sameer Anand is currently working as an Associate professor in the Department of Operational Research Faculty of Mathematical sciences University of Delhi, Delhi, India.. He has received his M.Sc., M.Phil, and Ph.D. (Software Reliability) from Department of Operational Research, University of Delhi. He is a recipient of ‘Best Teacher Award’ (2012) instituted by Directorate of Higher Education, Govt. of NCT, Delhi. The research interest of Dr. Anand includes Operational Research, Software Reliability and Machine Learning. He has completed an Innovation project from the University of Delhi. He has worked in different capacities in International Conferences.
Dr. Ajay Jaiswal is currently serving as a Principal, School of Open Learning University of Delhi Delhi, India. He is co-editor of two books/Journals and co-author of dozens of research publications in International Journals and conference proceedings. His research interest includes pattern recognition, image processing, and machine learning. He has completed an interdisciplinary project titled " Financial Inclusion-Issues and Challenges: An Empirical Study" as Co-PI. This project was awarded by the University of Delhi. He obtained his masters from the University of Roorkee (now IIT Roorkee) and Ph.D. from Jawaharlal Nehru University, Delhi.
Dr. (Prof.) Prabhat Kumar is a Professor in Computer Science and Engineering Department at National Institute of Technology Patna, India. He is a member of the International Federation for Information Processing (IFIP) Working Group (WG) 6.11: “Communication Aspects of the E-World” as well as member of NWG-13 (National Working Group 13) corresponding to ITU-T Study Group 13 “Future Networks, with focus on IMT-2020, cloud computing and trusted network infrastructures”. He is currently having the administrative responsibilities of Chairman, Computer and IT Committee and Professor In charge (IT Services) of NIT Patna. He has served as Head of Department, Computer Science and Engineering, NIT Patna and State Student Coordinator of Bihar for Computer Society of India. He is a senior member of IEEE, professional member of ACM, life member of CSI, IAENG, ISTE and global member of Internet Society. Dr. Prabhat Kumar has more than 125 publications in reputed international journals and conferences. He has published two books, completed two research projects and has an Indian patent. He has supervised 6 PhD and 25 M.Tech scholars.
