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

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  • Formaat: Paperback / softback, 389 pages, kõrgus x laius: 235x155 mm, 115 Illustrations, color; 10 Illustrations, black and white; XVII, 389 p. 125 illus., 115 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2172
  • Ilmumisaeg: 21-Aug-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031667042
  • ISBN-13: 9783031667046
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  • Formaat: Paperback / softback, 389 pages, kõrgus x laius: 235x155 mm, 115 Illustrations, color; 10 Illustrations, black and white; XVII, 389 p. 125 illus., 115 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2172
  • Ilmumisaeg: 21-Aug-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031667042
  • ISBN-13: 9783031667046
The two-volume set CCIS 2171 and 2172 constitutes the refereed 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. 
Geometrical Realization for Time Series Forecasting.- Brains over Brawn:
Small AI Labs in the Age of Datacenter-Scale Compute.- Time Series Prediction
for Anomalies Detection in Concentrating Solar Power Plants Using Long
Short-Term Memory N Networks.- Bayes Classification Using an Approximation to
the Joint Probability Distribution of the Attributes.- Pollutant Source
Localization Based on Siamese Neural Network Similarity Measure.- Automatic
Emotion Analysis in Movies: Matteo Garrones Dogman as a Case Study.-
Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine
Learning and Deep Learning for Dynamic Ransomware Detection.- Empirical
Performance of Deep Learning Models with Class Imbalance for Crop Disease
Classification.- Automating the Conducting of Surveys Using Large Language
Models.- Computer Vision Based Monitoring System for Flotation in Mining
Industry 4.0.- Self-Supervised Learning for Robust Surface Defect Detection.-
Efficient Deep Neural Network Verification with QAP-Based zkSNARK.- Version 8
of YOLO for Wildfire Detection.- Investigating a Semantic Similarity Loss
Function for the Parallel Training of Abstractive and Extractive Scientific
Document Summarizers.- Deep Learning-Based Preprocessing Tools for Turkish
Natural Language Processing.- Skin Cancer Classification: A Comparison of
CNN-Backbones for Feature-Extraction.- Multilingual Detection of
Cyberbullying on Social Networks Using a Fine-Tuned GPT-3.5 Model.- Detecting
Big-5 Personality Dimensions from Text Based on Large Language Models.-
ME-ODAL: Mixture-of-Experts Ensemble of CNN Models for 3D Object Detection
from Automotive LiDAR Point Clouds.- BitNet b1.58 Reloaded: State-of-the-Art
Performance Also on Smaller Networks.- Deep Learning for Cattle Face
Identification.- OBBabyFace: Oriented Bounding Box for Infant Face
Detection.- EEG-Based Patient Independent Epileptic Seizure Detection Using
GCN-BRF.- Predicting Components of a Target Value Versus Predicting the
Target Value Directly.