Deep Learning Theory and Applications, Kartoniert / Broschiert
Deep Learning Theory and Applications
- 6th International Conference, DeLTA 2025, Bilbao, Spain, June 12-13, 2025, Proceedings
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Allel Hadjali, Emanuele Maiorana, Oleg Gusikhin, Carlo Sansone
- Verlag:
- Springer, 10/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032043382
- Artikelnummer:
- 12373800
- Umfang:
- 372 Seiten
- Gewicht:
- 563 g
- Maße:
- 235 x 155 mm
- Stärke:
- 21 mm
- Erscheinungstermin:
- 31.10.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
.- 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.