Deep Learning Theory and Applications
Springer International Publishing (Verlag)
978-3-032-04338-2 (ISBN)
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.
.- 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.
| Erscheinungsdatum | 13.10.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XVII, 354 p. 134 illus., 127 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Big Data Analytics • Computer vision applications • convolutional neural networks • Deep Hierarchical Networks • Deep Metric Learning Methods • Deep Reinforcement Learning • Evolutionary Methods • Extracting Complex Patterns • Fast Information Retrieval • generative adversarial networks • Graph representation learning • image classification • IoT and Smart Devices • Learning Deep Generative Models • machine learning • Meta-Learning and Deep Networks • Models and Algorithms • Natural language understanding • Recurrent Neural Network • semantic indexing |
| ISBN-10 | 3-032-04338-7 / 3032043387 |
| ISBN-13 | 978-3-032-04338-2 / 9783032043382 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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