Deep Learning Theory and Applications (eBook, PDF)

6th International Conference, DeLTA 2025, Bilbao, Spain, June 12-13, 2025, Proceedings
Redaktion: Hadjali, Allel; Sansone, Carlo; Gusikhin, Oleg; Maiorana, Emanuele

• Format: PDF

Produktbeschreibung

This book constitutes revised selected papers from the 6th International Conference on Deep Learning Theory and Applications, DeLTA 2025, which took place in Bilbao, Spain, during June 12-13, 2025.

The 9 full papers and 13 short papers presented in this volume were carefully reviewed and selected from 42 submissions. The conference is focusing on models and algorithms; machine learning; Big Data analytics; computer vision applications; and natural language understanding.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 354
• Erscheinungstermin: 30. Oktober 2025
• Englisch
• ISBN-13: 9783032043399
• Artikelnr.: 75784672

Inhaltsangabe

.- End-to-End ASR Model with Iterative Attention Mechanism Enhanced RNN Model for Phoneme Recognition.

.- Diagnostic Trouble Codes Prediction with DTC-GOAT and Ensembles.

.- A Fast Fourier Transform-Aided Diffusion-Based U-Net Architecture for Microscopic Medical Image Segmentation.

.- Non-Cooperative Game Theory-Aided Learning of CNN Models for Skin Lesion Classification.

.- LoRA-Based Summarization of Data Privacy Clauses in Terms and Conditions Documents Aligned with India s 2023 Digital Personal Data Protection Act.

.- Comparison of AI Speech-to-Text Systems and Their Application in Artillery Command and Fire Control Systems.

.- Rhythm Fusion: Synchronizing Audio and Motion Features for Music-Driven Dance Generation.

.- Leveraging Synthetic Data for Deep-Learning-Based Road Crack Segmentation from UAV Imagery.

.- Trojan Vulnerabilities in Host-Based Intrusion Detection Systems.

.- Identification of Key Feature Interactions via PDP Decomposition.

.- Variational Mode Decomposition (VMD) Parameter Selection Using Sine-Cosine Algorithm (SCA): Application on Vibration Signals for Rotating Machinery Monitoring.

.- Forecasting Ethereum Prices with Machine Learning, Deep Learning, and Explainable Artificial Intelligence Using Multi-Source Market Articles and Hybrid Sentiment Analysis.

.- Application of Neural Networks to Ultrasonic Data for Discrimination of Fat Types in Muscle Tissue Models.

.- SwiNight: Class Imbalanced Night-Time Accident Detection with Swin Transformer.

.- Enhancing Off-Policy Method SAC with KAN for Continuous Reinforcement Learning.

.- Context-Aware Deep Learning for Longitudinal Data Imputation in Parkinson s Disease.

.- Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design.

.- Achieving Zero False Negatives: Optimizing Anomaly Detection with Genetic Neural Architecture Search.

.- Whisper-Conformer: A Modified Automatic Speech Recognition for Thai Speech Recognition.

.- RevCD: Reversed Conditional Diffusion for Generalized Zero-Shot Learning.

.- Toward an Explainable Heatmap-Based Deep Neural Network for Product Defect Classification and Machine Failure Prediction in Industry 4.0.

.- Question Answering in a Low-Resource Language: Dataset and Deep Learning Adaptations for Sinhala.