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Description
This book constitutes the referred proceedings of the 9th International Conference on New Trends in Information and Communications Technology Applications, NTICT 2025, held in Karbala, Iraq, during December 17 18, 2025.
The 35 full papers included in this book were carefully reviewed and selected from 87 submissions. They were organized in topical sections as follows: AI and Machine Learning; AI-driven Cybersecurity; Evolutionary Computing for Intelligent Systems; and Intelligent and Secure Communication Networks.
.- 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 Glioblastom
