Deep Learning Theory and Applications

5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I

AvAna Fred,Allel Hadjali

Häftad, Engelska, 2024

Del 2171 i serien Communications in Computer and Information Science

856 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-08-21
Mått:155 x 235 x 24 mm
Vikt:594 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:367
Förlag:Springer International Publishing AG
ISBN:9783031666933

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Innehållsförteckning

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 DeepLearning: 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 MusicalImprovisation 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 andPerson Re-Identification.- Few-Shot Learning with Novelty Detection.

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