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    • Nyhet

    Innovative Computing and Communications

    Proceedings of ICICC 2026, Volume 2

    AvAboul Ella Hassanien,Sameer Anand

    Häftad, Engelska, 2026

    Del 2020 i serien Lecture Notes in Networks and Systems

    2 704 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2026-08-04
    • Mått:155 x 235 x 36 mm
    • Vikt:978 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Lecture Notes in Networks and Systems
    • Antal sidor:637
    • Förlag:Springer Nature Switzerland AG
    • ISBN:9783032283061

    Utforska kategorier

    • Referensverk och tvärvetenskap inom Samhälle och politik
    • Elektronik och kommunikationer inom Naturvetenskap och teknik
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    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, Government 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. Anand has published several papers in the reputed journals like IEEE Transactions on Reliability, International journal of production research (Taylor & Francis), International Journal of Performability Engineering, etc. He is a member of Society for Reliability Engineering, Quality and Operations Management. Dr. Sameer Anand has more than 20 years of teaching experience.Dr. Ajay Jaiswal is currently serving as a principal, School of Open Learning University of Delhi, Delhi, India. He is a 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. He is a recipient of the best teacher award from the Government of NCT of Delhi. He has more than Nineteen years of teaching experience.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 the head of Department, Computer Science and Engineering, NIT Patna and a 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.

    Innehållsförteckning

    • NEXT-GEN WEARABLE TECHNOLOGY FOR EARLY DYSPHAGIA DETECTION BASED ON SURFACE EMG AND MOTION ANALYSIS.- Efficient Workload Distribution in Cloud Computing Environment Using Heuristic Seeding with The Salp Swarm Algorithm.- A Survey on Explainable Artificial Intelligence Techniques for Sign Language Detection.- Alzheimer’s Disease detection using Efficient-B7 and Bidirectional-LSTM.- Advanced Angiographic Image Processing using Swin Transformer for Cardiovascular Diagnosis.- Application of Swarm and Quantum-Behaved Swarm Optimization Techniques for Soil Fertility Prediction.- A Robust Federated Learning Approach for Software Defect Prediction Under Class Imbalance.- Pooling Mechanisms: An Analysis of Embeddings-Based Representations for Malayalam Emotional Speech.- DeepTruth: An Interpretable Multi-Modal Hybrid System for Detecting Synthetic Media in Digital Content.- FD-ISPNet: A Feature - Space Diffusion Network for Smartphone Image Signal Processing.- A Machine Learning–Based Analysis of Wind and Solar Energy Generation Patterns Using Large-Scale Time Series Data.- Morphology-Driven Detection of Malicious Nodes in Wireless Sensor Networks:Traffic Hotspot Analysis and Route Deviation Modeling.- Upgrading India’s Textile Strategy: Linking Export Survival to Market Income and Product Competitiveness.- Artificial Intelligence for forecasting and Reducing the Impact of Climate Alteration on Agriculture.- AI-driven predictive maintenance combining edge IoT and federated learning for SMEs.