Intelligent Systems and Pattern Recognition : 5th International Conference, ISPR 2025, Hammamet, Tunisia, September 25-27, 2025, Revised Selected Papers, Part II (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 II (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 the 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

.- Spine 3-D Representation from 2-D X-Ray Images and Measurement for Scoliosis Patient 
Follow-Up.
.- Stacked Deep Learning Models Leveraging Denoising Autoencoder-Based Features for 
Student Performance Prediction.
.- A Deep Attention Bi-LSTM Pipeline for -Human Action Recognition(HAR).
.- Balancing Accuracy and Efficiency in Deep Violence Detection Models for Surveillance 
Applications.
.- Comparative Analysis of Deep Learning and Classical Machine Learning for Deepfake 
Image Detection.
.- Automatic Discretization of Depression Symptoms from Social Media Using KMeans and 
Quantiles.
.- ProdNet: A Lightweight Network for Fast Discovery of Matrix Multiplication Algorithms.
.- Hybrid CNN-Transformer Model for Ovarian Cancer Lesion Classification.
.- Comparative Analysis of SAC and PPO for Energy Management in Battery Electric Vehicles.
.- On-Device Lightweight CNNs for Industrial Thermal Fault Diagnosis and Monitoring.
.- Multi-Views Knee MRI Classification Using Vision Transformers for Automated Meniscal 
Tear Detection.
.- A Case Study on Applying StyleGAN2-ADA for Fashion Image Synthesis with Limited Data.
.- A U-Net GNN Hybrid Approach for MRI-Based Brain Tumor Segmentation.
.- HeteroGAT: A Heterogeneous Graph Attention Network for Multimodal Fake News 
Detection in Chinese Social Media.
.- An Event-Based Data Generation Framework for Autonomous Driving Scenarios.
.- Improving Low-Resource Dialect Recognition Through Audio Data Augmentation: A Case 
Study on Algerian Language.
.- From Farm to Warehouse: Toward a Semantic and AI-Based Architecture for Wheat 
Lifecycle.
.- Spatio-Temporal Transformers for High-Accuracy Detection of Embryo Developmental 
Transitions.
.- Prompting Recovery: Filling Missing Diabetes Data with Large Language Models.
.- Regularized Continual Learning for Generative Crowd Counting.
.- Real-Time Defect Detection: A Lightweight Deep Learning Framework for Industrial 
Applications.
.- Robust 1D CNN-Based Approach with Data Augmentation for Incipient and Severe Stator 
Fault Classification in Induction Motors.
.- A Comparative Study of Arabic Embedding Models in RAG-Based Fatwa Retrieval.
.- Sentiment Classification of COVID-19 Tweets: From Machine Learning and Deep Learning 
to BERT.
.- Maintenance-Oriented Test Generators and Test Teams Simulation for Demand-Controlled 
Ventilation and Heating Systems.
.- CASCADE: Engineering a Secure, Real-Time, and Collaborative Code Execution for Multi
Tenant Learning Platforms.
.- A Review of E-Document Analysis with Multi-Biometric Technique for Secure Verification.
.- NeuroYOLO: Data-Efficient Fine-Tuning of YOLOv11 for Vision-Based Rehabilitation 
Monitoring.
.- Machine Learning-based Autism Detection using Oriented Basic Image Features.

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