Innovative Computing and Communications

Proceedings of ICICC 2025, Volume 9
Erscheinungsjahr 2025
ISBN: 978-981-967706-1
Verlag: Springer

Buch, Englisch, 653 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1130 g

Reihe: Lecture Notes in Networks and Systems

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

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung

Inhaltsverzeichnis

Chapter 1: Securing loT Networks with Blockchain Technology: AComprehensive Approach to Mitigating Cyber Threats.- Chapter 2: Enhancing Predictive Accuracy in Autism Spectrum Disorder Diagnosis: A Methodological Approach to Hyperparameter Tuning and Outlier Detection.- Chapter 3: Harnessing Machine Learning for Early Diabetes Forecasting.- Chapter 4: AUTOMATIC SEARCH NTERFACE FORM FILLING FOR HIWE.- Chapter 5: Efficiency Redefined: How AI is Driving a Revolution in Internal Audit Effectiveness.- Chapter 6: Automated Dlabetes Detection using Advanced Machine Learning Techniques.- Chapter 7: HEART DISEASE RISK PREDICTION USING SUPERVISED MACHINE LEARNING ALGORITHMS.- Chapter 8: Advanced Machine Learning for Early Plant Disease Detection.- Chapter 9: Pneumonia Prediction via Chest Imaging.- Chapter 10: Enhancing Movie Recommendations using Deep Neural Networks : An analysis of Collaborative Filtering and Content Based Approaches.-

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.