Artificial Intelligence, Computation, Communication and Network Security

Second International Conference, AICCoNS 2026, Dubai, United Arab Emirates, April 28-30, 2026, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-981-9231-88-1
Verlag: Springer Verlag, Singapore

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

Reihe: Communications in Computer and Information Science

This book constitutes the refereed proceedings of the Second International Conference, AICCoNS 2026, held in Dubai, United Arab Emirates, during April 28–30, 2026.

The 137 full papers included in this book were carefully reviewed and selected from 887 submissions.The accepted papers have been organized into three volumes of the AICCoNS 2026 proceedings, reflecting the breadth of topics and research advancements presented at the conference. We trust that the contributions in these volumes will serve as a valuable reference for researchers and practitioners and will inspire continued innovation.

Zielgruppe

Research

Autoren/Hrsg.

Pathan, Sameena

Pokhrel, Shiva Raj

Kumar, Manoj

Ali, Tanweer

Fachgebiete

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

Inhaltsverzeichnis

.- An IoT enabled multimodal wearable biomedical sensor system for real time health monitoring and Analytics.
.- Adaptive Virtual Reality Neurorehabilitation for Stroke Recovery: A Kinematic Feature Driven and Machine Learning Framework.
.- A Comparative Study of Pre-trained Language Models for Software Requirements Classification.
.- Multi-Lingual Legal Domain Knowledge Retrieval  and Generation using RAG System.
.- Weed Classification in Soybean Using Hyperspectral Imaging and a Hybrid CNN–SVM Framework.
.- A Novel Framework for Detection and Validation of Large Language Model-Generated Synthetic Data.
.- Adversarial Attacks on Foundation Models.
.- Address-Centric Analysis of Cryptocurrency Transactions for Cybercrime Detection.
.- DST-AgenticNet: Uncertainty-Gated Multi-Agent Fusion for Trustworthy Agentic Healthcare AI in Precision Histopathology.
.- Improved Otsu-LBP: A Two-Dimensional Adaptive Feature Extraction Technique for Facial Emotion Detection Outperforming Conventional LBP Variants.
.- FedAlert: A Precision-Oriented Consensus Federated Learning Framework for Non-IID Histopathology Image Analysis.
.- Energy-Efficient Fog Computing Framework for Scalable IoT Networks.
.- An Attention-Augmented CNN Approach for Coffee Leaf Disease Detection.
.- Real Time Traffic Optimization using Multi Agent Reinforcement Learning.
.- A Hybrid Deep Learning Architecture Combining CNN, Attention, and State Space Modeling for Age and Gender Prediction.
.- UAV Images based Road Damage Detection using YOLO-Nested Residual Transformer.
.- Cross-center Generalization in Colon Polyp Segmentation Using Leave-One-center-Out Evaluation with Swin-UNet.
.- A Comparative Study of Multimodal Large Language Models for Explainable Disaster Responses.
.- Plant Disease Detection and Classification using a Lightweight CNN Model.
.- LOW-LATENCY HEALTH MONITORING THROUGH ON-DEVICE EDGE ANALYTICS.
.- Intent-Driven Adaptation in Distributed Cloud–Edge Systems.
.- A Hybrid Federated Deep Learning Framework for 24-Hour Air Quality Index Prediction Using Multimodal Sensor and Satellite Data with Health-Oriented Prevention Strategies.
.- Physics-Aware Generative Deep Learning for Underwater Image Enhancement.
.- Phishing Detection Using Machine Learning and Selenium Automation: A Hybrid Framework for Real-Time Web Content Analysis.
.- Divergence-Based Fermatean Fuzzy Decision Framework for Blockchain Platform Assessment.
.- Personalized Mood Detection Using LLMs.
.- Reliability of Multi-Agent AI in Automated Machine Learning Pipelines.
.- A Hybrid Deep Learning and Digital Twin Framework for Real-Time Fault Diagnosis and Protection in Multi-Terminal HVDC Systems.
.- BRAIN BEATS: Real-Time Emotion Recognition and Music Personalization using EEG Signals.
.- Smart Retail System with Product Recommendation and Customer Churn Analysis using Machine Learning.
.- Recall-Saturation Benchmarking of Hybrid Retrieval Backends for RAG: PostgreSQL (pgvector) versus Vector Databases (Qdrant).
.- An End-to-End Reliability Harness for AI DevOps and LLMOps: Incident-Centric Evaluation of Canary, Rollback, and Promotion.
.- ReliefH: A Robust Feature Selection Algorithm for Accurate Spam Email Detection and Classification.
.- Enhancing the Security of Agentic Pipelines  through Safe Context Composition in RAG MCP Architectures.
.- Scalable Sequential Recommendation under Latency and Memory Constraints.
.- Big Data-Driven Accident Detection and Emergency Notification System for Real-Time Assistance.
.- A Lightweight Image Encryption Technique using Skew Tent Map and Structural Diffusion.
.- Data-Driven Business Process Re-Engineering for End-to-End Supply Chain Optimization.
.- An Explainable Deep Learning Framework for EEG-Based Motor Imagery Classification in Neuro-Rehabilitation.
.- Network Traffic Classification and DDoS Attack  Detection: AI Hybrid Ensemble Stacking Model.
.- RAG-Enhanced LLMs for Dynamic Climate Transition Risk Integration in Credit Default Prediction.
.- A Feature-Optimized Deep Transfer Learning Framework for Parkinson’s Disease Detection Using Handwritten Patterns.
.- Machine Learning and Deep Learning Advances for Multiclass Classification of Ovarian Pathologies Using Ultrasound Imaging: A Systematic Review.
.- IOT-Enabled Smart Agriculture System: Design A System for Monitoring Soil Moisture, Temperature, and Humidity in Real-Time to Optimize Irrigation and Crop Growth.
.- A Secure Framework for Privacy-Preserving Healthcare Data using Enhanced CP-ABE Scheme.
.- A Game-theoretic coordination framework for UAV Swarms.
.- Next-Generation Diagnostic Frameworks for PCOS and Infertility Using Artificial Intelligence and Bioinformatics with Human Machine Interface.
.- Ensemble Learning for Thyroid Detection Classification: A Comparative Study of MLP, XGBoost, and Voting Ensemble Models.