Buch, Englisch, 635 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 972 g
Proceedings of ICICC 2026, Volume 7
Buch, Englisch, 635 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 972 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-30007-2
Verlag: Springer Nature Switzerland AG
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
Weitere Infos & Material
Lightweight Deep Learning Models for Real-Time Plant Disease Detection on Edge Devices.- Towards Trustworthy Healthcare AI: Multimodal Intelligence, Generative Models and Governance in Real- World Applications.-Quantum Maze Solver: A Hybrid Quantum-Classical Approach for Pathfinding.- Stabilizing Deep Sequential AI: A Novel Regularization for Temporal Neural Networks.- A Comprehensive Review on AI Driven Techniques in Medicine Recommendation System.- AI Powered Image Enhancement and Disease Diagnosis Using Explainable AI.- Intelligent Threat Analysis and Fault Resilience Mechanism for Cloud Banking Microservices.- A Deep Reinforcement and Federated Learning- Enabled Framework for Privacy-Preserving Electricity Demand Forecasting i n Smart Grids.- Twitter Sentiment Analysis: A Benchmark Study of Supervised Machine Learning Approaches.- White Blood Cell Classification Using HRNet-W18.- Comparative Performance of Conventional and Ensemble Machine Learning Classifiers for Diabetes Diagnosis.- Deep Transformer-Based Generative Framework for Automatic Image-to- Recipe Generation..- Devanagari Scene Text Recognition: An Approach for Synthetic Data Generation and Progressive Training using CRNN.- Comparative Analysis of Graph-Based, Machine Learning and Transformer Models for Duplicate Question Detection on Online Discussion Forums.- AUTOENCODER BASED OPTIMAL RECOMMENDER SYSTEM FOR MOVIELENS DATA.- etc.




