Innovative Computing and Communications

Proceedings of ICICC 2025, Volume 8
Herausgegeben:Hassanien, Aboul Ella; Anand, Sameer; Jaiswal, Ajay; Kumar, Prabhat

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Networks and Systems 1437
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-7525-8
• Seitenzahl: 602
• Erscheinungstermin: 8. Januar 2026
• Englisch
• Abmessung: 0mm x 0mm
• ISBN-13: 9789819675258
• ISBN-10: 9819675251
• Artikelnr.: 73990686

Autorenporträt

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.

Inhaltsangabe

Efficient Deep Learning Driven Approaches for Early Detection and
Prediction of Leukemia Blood Cancer Disease.- AComprehensive Review of
Graph Based Techniques for Anomaly Detection in Dynamic Systems.- AI based
approach for automated early diagnosis of cerebral palsy in infants.- REAL
TIME AMMONIA MONITORING NI PUBLIC RESTROOMS FOR ENHANCED CLEANLINES AND
USER WELL BEING.- Deep Learning and Handcrafted Feature Based Hybrid
Network for Enhanced Content Based Image Retrieval System.- PCA Based Drift
Detection and Adaptive prediction in Data Streams Using Hybrid Ensemble
Classifiers.- MicroDetect Net (MDN) Leveraging Deep Learning to Detect
Microplastics in Clam Blood, a Step Towards Human Blood Analysis.- Advanced
Frameworks for Information System Development AUnified Approach to Design
and Execution.- Enhancing Information System Design with a Framework for
Improved Data Quality and Analytics.- Employee Retention Strategies
Enhanced Through Advanced Machine Learning Models.- Real World Applications
of Data Analytics and Machine Learning ni Continuous Improvement for
Operational Excellence.- Finding General Mathematical Formulas for
Extraction the Minimal Path Sets of Complex Series Parallel Networks.-
Detection of DDOS Attacks in IOT Using Advanced Threat Detection
Algorithms.- A CNN Based Hybrid Model for Automated Detection of Acute
Lymphoblastic Leukemia with Feature Optimization and Data Harmonization.-
VOICE GUIDED ALASSISTANT  ENHANCING ACCESSIBILITY FOR THE VISUALLY
IMPAIRED.- SkinSpectra The Next Frontier in Skin Diagnosis.- SkinSpectra
The Next Frontier in Skin Diagnosis.- AI Surveillance Systems Ethical
Dilemmas and Public Perception.- Early Detection of Lung Cancer Using
Swarm.- Harnessing Machine Learning in Fraud Detection Techniques,
Challenges, and Opportunities.- COMPARATIVE REVIEW OF DEEP LEARNING MODELS
FOR RENAL STONE DETECTION AND CLASSIFICATION.- Facial Emotion Driven Music
Recommendation Systems Innovations and Applications in Personalized Music
Therapy.- Tulu English Audio Transformer for Automatic Translation.-
Detection of AI Generated Images using EfficientNet A Step towards
Computational Efficiency.- Transforming Cancer Detection, Prognosis, and
Treatment with AI in Oncology.- An automatic Number Plate recognition
system using Machine Learning for a Smart University Campus.- Unveiling
Hidden Details with Advance Image Preprocessing.- Analytical Perspective of
Quantum Computing based Bgi Data Security Mechanisms.- A Comparative Study
of Performance Evaluation of Metaheuristic Algorithms on Benchmarking
Problems.- Cryptographic Innovations in Digital Signatures An In Depth
Review of Elliptic Curve Cryptography.- Impact of Selection Processes and
AI on Institutional Rankings.- Optimizing Patient Care AI Powered Solutions
for Efficient Queuing in Healthcare.- Deepfakes Generation and
Identification Methods using Deep Learning Techniques.- Improving IoT
Networks Cyber Security Using AI Algorithms.- A Smart Sensory driven Model
to Track Student Performance and Enhance Educational Outcome.- Towards face
deepfake detection A review with research challenges and future direction.-
Towards face deepfake detection A review with research challenges and
future direction.- Employing Artificial Intelligence (AI) Chatbots to
Automate Tasks and Enhance Trainees Support in Training Institutes.-
Complaint Categorization Using Image Captioning and GenAI.- Sentiment
Analysis of User Opinions on ChatGPT using Machine Learning techniques.-
Decoding Parental Engagement Leveraging Social Media Behavior Analysis to
Empower Education Brands.- Credit Card Fraud Detection.- MRI Brain tumor
detection using Deep and machine Learning.- Flower Classification Using
Transfer Learning With Enhanced MobileNetV2.- Adoption of Gemini Al to
Enhance Student Learning.- Combating Phishing with AI Advanced Strategies
for Modern Cyber Defense.- Leveraging Technology to Mitigate Business
Biases in Entrepreneurial Decision Making.