Deep Learning Theory and Applications

6th International Conference, DeLTA 2025, Bilbao, Spain, June 12–13, 2025, Proceedings

AvAllel Hadjali,Emanuele Maiorana

Häftad, Engelska, 2025

Del 2627 i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-10-31
Mått:155 x 235 x 21 mm
Vikt:563 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:354
Förlag:Springer Nature Switzerland AG
ISBN:9783032043382

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Innehållsförteckning

.- 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.