Intelligent Systems and Pattern Recognition

.- 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.

• Erscheinungsdatum: 07.05.2026
• Autor/Autorin: Tolga Ensari
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 56.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 416 Seiten
• ISBN: 9783032215857
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.