Intelligent Systems and Pattern Recognition : 5th International Conference, ISPR 2025, Hammamet, Tunisia, September 25-27, 2025, Revised Selected Papers, Part I (Communications in Computer and Information Science)

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Intelligent Systems and Pattern Recognition : 5th International Conference, ISPR 2025, Hammamet, Tunisia, September 25-27, 2025, Revised Selected Papers, Part I (Communications in Computer and Information Science)

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Full Description

This two-volume set CCIS 2858-2859 constitutes the refereed proceedings of the 5th International Conference on Intelligent Systems and Pattern Recognition, ISPR 2025, held in Hammamet, Tunisia, during September 25-27, 2025.

The 59 full papers presented in these volumes were carefully reviewed and selected from 180 submissions. They over a wide spectrum of contemporary research topics, including machine learning, deep learning, computer vision, data mining, intelligent systems, explainable artificial intelligence, pattern recognition methodologies, and multimedia analysis. 

Contents

.- Graph-Based Pattern Irregularity Detection Using GNNs and Spectral Deep Learning.
.- Promoting Shape Bias in CNNs: Frequency-Based and Contrastive Regularization for Corruption 
Robustness.
.- Depth-Based Food Volume Estimation for Dietary Monitoring: a Case Study on Tunisian Cuisine.
.- T2IE: Evaluating Text-to-Image Models Across Key Skills.
.- AI-Based Traffic Forecasting in Telecom Core Networks.
.- UNet3D-SER: a Residual and Attention-Enhanced 3D U-Net Architecture for Accurate 
Multimodal Brain Tumor Segmentation.
.- Squeeze and Excitation Network for Dementia Grades Prediction.
.- Towards a Taxonomy of AI Methods for Detecting Events on Social Networks: a Synthesis of 
Approaches and Challenges.
.- FESLAR: Reducing Computational Overhead in Sign Language Avatar Reconstruction via 
Motion-Aware Critical Frame Selection.
.- TuniFood-Bio: a Bi-Modal Dataset for Healthy Tunisian Food Classification and Nutrition-Aware 
Recommendation.
.- A Hybrid CNN-Swin Transformer Model for Emotion Recognition from Facial Expressions in 
Real-World Contexts.
.- Self-Aware Malware Classification via Confidence-Guided Model Routing and Explainable 
Feature Attribution.
.- A Stereo Vision-Based Approach for Robust Scene Changes Detection.
.- A Neuro-Explicit DNN-HMM Approach for Sleep Stage Classification: Enhancing Temporal 
Modeling and Interpretability.
.- DreamDiffGAN: Data Augmentation Approach for MRI Brain Tumor Classification Using Fine
Tuned Stable Diffusion and a Discriminator.
.- LLMs Vs Transformer Models: Which Approach is Crucial in Improving Arabic Sentiment 
Analysis?.
.- Reinforcement Learning for CVRPTW Decomposition and Optimization.
.- 3D MRI Optimal Modality Combination for Brain Tumour Segmentation Using Transfer 
Learning.
.- Deep Expert: Domain-Specific Feature Extraction for Automated Knee Osteoarthritis Diagnosis 
Using Deep Learning.
.- Color Perception in Vision-Language Models: from Feature Extraction to Instruction Tuning 
Methods.
.- Depth-Aware Imputation of Missing Well Log Data: a Comparative Study on the Algerian 
Reservoir Data.
.- Pyramid Features for Improved Functional Data Classification.
.- A Structure-Aware Classifier to Predict Heart Disease.
.- Ontology-Driven Dynamic Kubernetes Cluster 
Modeling.
.- Water Optimization Models for July Irrigation in Arid Regions.
.- AI-Powered Platform for Automated Quiz and Question Generation "QuiGen".
.- Assessing and Improving e-Learning Platform Security in Africa: from Deep Vulnerability 
Analysis to the Development of OSSEP LMS Security Framework.
.- A Game-Theoretic Framework for Optimizing Pharmaceutical Pricing Negotiations Between 
Governments and Private Insurers.
.- Evolving Neural Architectures for Secure and Compliant Smart Contract Analysis.
.- Machine Learning-Based Surrogate Modeling as a Foundation for a Seismic Digital Twin.

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