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[null,"1.","Record Nr.",null,"UNINA9911035050703321"]
[null,null,"Autore",null,"Hadjali Allel"]
[null,null,"Titolo",null,"Deep Learning Theory and Applications : 6th International Conference, DeLTA 2025, Bilbao, Spain, June 12–13, 2025, Proceedings / / edited by Allel Hadjali, Emanuele Maiorana, Oleg Gusikhin, Carlo Sansone"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-032-04339-5"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (525 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science, , 1865-0937 ; ; 2627"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Natural language processing (Computer science)"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Natural Language Processing (NLP)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- End-to-End ASR Model with Iterative Attention Mechanism Enhanced RNN Model for Phoneme Recognition.  -- Diagnostic Trouble Codes Prediction with DTC-GOAT and Ensembles.  -- A Fast Fourier Transform-Aided Diffusion-Based U-Net Architecture for Microscopic Medical Image Segmentation.  -- Non-Cooperative Game Theory-Aided Learning of CNN Models for Skin Lesion Classification.  -- LoRA-Based Summarization of Data Privacy Clauses in Terms and Conditions Documents Aligned with India’s 2023 Digital Personal Data Protection Act.  -- Comparison of AI Speech-to-Text Systems and Their Application in Artillery Command and Fire Control Systems.  -- Rhythm Fusion: Synchronizing Audio and Motion Features for Music-Driven Dance Generation.  -- Leveraging Synthetic Data for Deep-Learning-Based Road Crack Segmentation from UAV Imagery.  -- Trojan Vulnerabilities in Host-Based Intrusion Detection Systems.  -- Identification of Key Feature Interactions via PDP Decomposition.  -- "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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. ."]