Del 2858 i serien Communications in Computer and Information Science

Intelligent Systems and Pattern Recognition

Nyhet

5th International Conference, ISPR 2025, Hammamet, Tunisia, September 25–27, 2025, Revised Selected Papers, Part I

Häftad, Engelska, 2026

AvTolga Ensari,Akram Bennour,Bassem Bouaziz,Imad Rida,Walid Mahdi

2 169 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2026-05-08
Mått155 x 235 x 24 mm
Vikt668 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor424
FörlagSpringer Nature Switzerland AG
ISBN9783032215819

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT

.- 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 FineTuned 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.