New Trends in Information and Communications Technology Applications

. - AI and Machine Learning

.- Public Service Quality Assessment in Smart Applications through SVM-Based Sentiment Analysis.
.- Abnormal Speech Restoration of Speech Impairments in an Individual Using Deep Learning.
.- Facial Expressions Generating using Encoder-Guided DCGAN with Identity Variation.
.- Active Learning Strategies for Arabic Sentiment Analysis Using Bidirectional Long Short-Term Memory (BiLSTM).
.- Deep Learning Architectures for Ancient Textual Heritage: A Systematic Review with Explainability Focus.
.- Advances in Deep Learning for Drug-Target Interaction Prediction: A Systematic and Comprehensive Review.
.- A Hybrid CNN-Transformer Multi-Task Network for Liver Lesion Segmentation and Classification in Ultrasound Imaging.
.- Integration of Fuzzy System with Convolutional Neural Networks and Bidirectional Long Short-Term Memory for Earthquake Prediction.
.- A Comprehensive Survey on Embedded Deep Learning Algorithms for Smart IoT Monitoring Systems.
.- Deep Neural Network-Driven Electromagnetic Optimization of PMSG for High-Efficiency Power Generation.
.- Modeling Iraqi Diabetes Data Dynamics for Enhanced Prediction of Diabetes Mellitus via Advanced Machine Learning Techniques.
.- MSAD-Swin UNETR: A Hybrid Transformer-CNN Model with Multiscale Attention Decoder for Accurate 3D Medical Image Segmentation.
.- Enhancing Early Autism Diagnosis Using a Two-Stage Multimodal Deep Learning Approach.
.- Optimizing Wireless Multimedia Sensor Network (WMSN) Coverage Using an Enhanced Multi-Objective Salp Swarm Algorithm.
.- Ensemble Deep Learning for OMR-Based MCQ Grading.
.- A Modular Adaptive Markov Approach for Real-Time Forecasting of nonlinear Dynamic Systems with Limited Data.
.- Improving Cross-Project Software Defect Prediction Using a Deep Network-Based Framework.
.- Empowering STEM Teachers through AI-Integrated Biodiversity Education.
.- Directional Node-wise Graph Attention with Threshold Policies For link prediction.
.- Deep Learning for Financial Fraud Detection: A Real-Time Anomaly Detection System.

.- AI-driven Cybersecurity

.- Federated Intelligence-Driven Intrusion Detection for Secure IoT Communications.
.- A Confidentiality-Preserving Deep Learning Approach with Homomorphic Encryption for Cloud Security.
.- Machine Learning for Internet of Medical Things (IoMT) Security in 5G and Beyond: A Critical Review.
.- Large Language Models and Hybrid Prompt Engineering for Emotional Text Steganography Based on Cloud.
.- CardioSight-XAI: Multiclass ECG Beat Classification with Multi-Method Explainable AI for Enhanced Diagnostic Trust.
.- Design an Internet of Things Intrusion Detection system based on Hybrid Data Balancing and Feature Selection.

.- Evolutionary Computing for Intelligent Systems

.- Fusing Spectral Intelligence with GeoAI: Machine Learning and Evolutionary Computing for Sustainable Soil Monitoring.
.- Optimization Driven High-Speed Execution of Complex Algorithms based on Dual-core soft Processor.
.- Importance of Cybersecurity: Human Surgeons vs. Robotic Surgeons.

.- Intelligent and Secure Communication Networks

.- Development of a Smart Fish Farming Monitoring System Using a Low-Code Internet of Things (LC-IoT) Software Platform.
.- Localization and Energy Efficiency Optimization in Internet of Underwater Things using Quantum Aware and 6G Integration .
. - Chaos-Hash-Trivium Block Permutation for Image Encryption.
. - Object Detection in Agricultural Imagery: YOLOv5 Optimization Through Color-Space Enhancement.
.- Swin Transformer-Based Adaptive Framework for Radiogenomic Prediction of MGMT Promoter Methylation in Glioblastoma.
.- Explainable AI-Driven Intrusion Detection System for Securing Industrial IoT Networks.