Full Description
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.
Contents
.- 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.
