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Deep Learning Theory and Applications: 5th International Conference, DeLTA 2024, Dijon, France, July 1011, 2024, Proceedings, Part I 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 367 pages, kõrgus x laius: 235x155 mm, 138 Illustrations, color; 15 Illustrations, black and white; XXIII, 367 p. 153 illus., 138 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2171
  • Ilmumisaeg: 21-Aug-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031666933
  • ISBN-13: 9783031666933
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  • Formaat: Paperback / softback, 367 pages, kõrgus x laius: 235x155 mm, 138 Illustrations, color; 15 Illustrations, black and white; XXIII, 367 p. 153 illus., 138 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2171
  • Ilmumisaeg: 21-Aug-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031666933
  • ISBN-13: 9783031666933
The two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. 





The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc. 
Deep Learning for Wearable Biometrics.- A Deep Learning-Based Plant
Disease Detection and Classification for Arabica Coffee Leaves.- CNN-N-BEATS:
Novel Hybrid Model for Time-Series Forecasting.- Development and Applications
of Gesture-Controlled Drones: Advances in Hand Gesture Recognition for Aerial
Navigation.- Towards Natural-Sounding Speech to Text in English.- Scoping
Review of Active Learning Strategies and Their Evaluation Environments for
Entity Recognition Tasks.- Solar Activity Impact on Firefighter
Interventions: Factors Analysis.- Detecting Flow via a Machine Learning Model
in a MOOC Context.- Online Job Posting Authenticity Prediction with Machine
and Deep

Learning: Performance Comparison Between N-Gram and TF-IDF.- Evolving Deep
Architectures: A New Blend of CNNs and Transformers Without Pre-Training
Dependencies.-Closing the Sim-to-Real Gap: Enhancing Autonomous
Precision Landing of UAVs with Detection-Informed Deep Reinforcement
Learning.- Mitigating Class Imbalance in Healthcare AI Image
Classification: Evaluating the Efficacy of Existing Generative Adversarial
Network.- More than Noise: Assessing the Viscosity of Food Products Based
on Sound Emission.- Vector Analysis of Deep Neural Network Training Process.-
Secure Coalition Formation for Federated Machine Learning.- Action
Conditioned Attention Encoder-Decoder and Discriminator for Human Motion
Generation.- Citation Polarity Identification in Scientific Research Articles
Using Deep Learning Methods.- Exploring Physiology-Based Classification of
Flow During Musical

Improvisation in Mixed Reality.- Refining Weights for Enhanced Object
Similarity in Multi-Perspective 6D of Pose Estimation and 3D Object
Detection.- End-to-End Video Surveillance Framework for Anomaly Detection
and

Person Re-Identification.- Few-Shot Learning with Novelty Detection.