Innovative Computing and Communications : Proceedings of ICICC 2026, Volume 6 (Lecture Notes in Networks and Systems)

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Innovative Computing and Communications : Proceedings of ICICC 2026, Volume 6 (Lecture Notes in Networks and Systems)

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  • 製本 Paperback:紙装版/ペーパーバック版
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Full Description

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.

Contents

The Impact of Social Media on Student Cognitive Intelligence, Attention, and Problem-Solving: A Proposed Validation Framework with Behavioral and Facial Expression Analysis.- The Role of Deep Learning in Bone Marrow Malignancy for Early Disease Diagnosis through Personalized Treatment Plans.- Multi-Model Tweets Analysis for Understanding AI Literacy using Natural Language Processing and Deep Learning.- Towards Container Migration Resilience in Diverse IoT Edge Environments.- Stored Cross-Site Scripting to Session Hijacking: Demonstration and Defensive Analysis.- Adversarial Robustness Evaluation of CNNs: A Case Study of Black-Box Attacks with DefensesOptimizing Artificial Intelligence for Sustainability: Computational Efficiency and Green Metrics.- Privacy-Preserving Federated Learning with Federated GANs for Early Heart Disease Prediction.- Forensic Deepfake Audio Detection Using CNN-Attention Mechanism.- Advanced Lung Nodule Malignancy Classification Using Multi-Scale 3D CNN with Radiomics-Augmented Features and Explainable Artificial Intelligence.- Enhancing Fair Play in Fantasy Sports: The Role of Explainable Al in Team Selection.- Beyond Peaks: Deep Temporal Models for Ocular Electrophysiology.- MOON-Fed: A Model-Contrastive Federated Learning Framework for Efficient Software Defect Prediction.- Managing QUIC at Scale: DoS Robustness, Observability, and CID-Aware Load Balancing.- AI-Driven IoT Framework for Predictive Healthcare Monitoring Using Wearable Sensors.

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