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Artificial intelligencemethodology, systems, and applications : 19th International Conference, AIMSA 2024, Varna, Bulgaria, September 18-20, 2024 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligenceedited by Petia Koprinkova-Hristova, Nikola Kasabov.
Reminder of title:	methodology, systems, and applications : 19th International Conference, AIMSA 2024, Varna, Bulgaria, September 18-20, 2024 : proceedings /
remainder title:	AIMSA 2024
other author:	Koprinkova-Hristova, Petia.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xii, 238 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-3-031-81542-3
ISBN:	9783031815423$q(electronic bk.)

Artificial intelligencemethodology, systems, and applications : 19th International Conference, AIMSA 2024, Varna, Bulgaria, September 18-20, 2024 : proceedings /
Artificial intelligencemethodology, systems, and applications : 19th International Conference, AIMSA 2024, Varna, Bulgaria, September 18-20, 2024 : proceedings /[electronic resource] :AIMSA 2024edited by Petia Koprinkova-Hristova, Nikola Kasabov. - Cham :Springer Nature Switzerland :2025. - xii, 238 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,154620302-9743 ;. - Lecture notes in computer science ;4891..

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.

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 18-20, 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.

ISBN: 9783031815423$q(electronic bk.)

Standard No.: 10.1007/978-3-031-81542-3doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Artificial intelligencemethodology, systems, and applications : 19th International Conference, AIMSA 2024, Varna, Bulgaria, September 18-20, 2024 : proceedings /
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505 0 $a 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.
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