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Artificial Intelligence: Methodology, Systems, and Applications: 19th International Conference, AIMSA 2024, Varna, Bulgaria, September 1820, 2024, Proceedings [Pehme köide]

  • Formaat: Paperback / softback, 238 pages, kõrgus x laius: 235x155 mm, 69 Illustrations, color; 13 Illustrations, black and white; XII, 238 p. 82 illus., 69 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15462
  • Ilmumisaeg: 01-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031815416
  • ISBN-13: 9783031815416
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  • Formaat: Paperback / softback, 238 pages, kõrgus x laius: 235x155 mm, 69 Illustrations, color; 13 Illustrations, black and white; XII, 238 p. 82 illus., 69 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15462
  • Ilmumisaeg: 01-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031815416
  • ISBN-13: 9783031815416
This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024, held in Varna, Bulgaria, during September 1820, 2024.





The 18 revised full papers presented in this book were carefully reviewed and selected from 23 submissions. They cover a wide range of topics in AI and its applications: natural language processing, sentiment analyses, image processing, optimization, reinforcement learning, from deep ANNs to spike timing NNs, applications in economics, medicine and process control.
1 Multimodal Sentiment Analysis: Recognizing Sentiment in Memes.- Remote
Sensing Data for Predicting Crop Growth.- Cross-lingual Style Transfer TTS
for High-quality Machine Dubbing.- An Approach to Discovering, Tracking over
Time, and Summarizing Publicly Available Information on a Given
Topic.- Reinforcement Learning Control of Cart Pole System with Spike Timing
Neural Network Actor-critic Architecture.- Predictive and Explainable
Modelling in Economics on the Case Study of Remittance Prediction Using the
NeuDen AI Computational Architecture.- Deep Learning for Multi-class
Diagnosis of Thyroid Disorders using Selective Features.- Medical Ultrasound
Image Quality Assessment using Deep Learning.- Testing the NEAT Algorithm on
a PSPACE-Complete Problem.- Investigating the Regularization of Deep Neural
Networks for Affect Recognition with Relevance-Guided Local
Explanations.- Layered Data-Centric AI to Streamline Data Quality Practices
for Enhanced Automation.- Combining Graph NN and LLM for Improved Text-based
Emotion Recognition.- A Novel Study on Modelling and Adaptive Optimal Control
of a Tubular Reactor Based on Gaussian Processes.- Converging Dimensions:
Information Extraction and Summarization through Multisource, Multimodal, and
Multilingual Fusion.- Enhancing Question Answering in Lecture Videos with a
Multimodal Retrieval Augmented Generation Framework.- Agent-based Simulation
Leveraging Declarative Modeling for Efficient Resource Allocation in
Emergency Scenarios.- Enhancing Security in Federated Learning: Detection of
Synchronized Data Poisoning Attacks.- 3 Clinical and Acquisition Data for
Optimizing MGMT Methylation Status Prediction: A Comprehensive Ensemble
Strategy Emphasizing Non-Invasive Approaches.