Artificial Intelligence XLI (eBook, PDF)

44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024, Proceedings, Part II
Redaktion: Bramer, Max; Stahl, Frederic

• Format: PDF

Produktbeschreibung

This two-volume set, LNAI 15446 and LNAI 15447, constitutes the refereed proceedings of the 44th SGAI International Conference on Artificial Intelligence, AI 2024, held in Cambridge, UK, during December 17-19, 2024.

The 36 full papers and 18 short papers presented in these two volumes were carefully reviewed and selected from 80 submissions. Part I includes papers from the Technical stream, whereas Part II includes papers from the Application stream. These volumes are organized into the following topical sections: -

Part I: Neural nets; Deep learning; Large language models; Machine learning; Evolutionary and genetic algorithms; Knowledge management, Short Technical Papers.

Part II: Machine vision; Evaluation of AI systems; Applications of machine learning; Other AI applications, Short Application Papers.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 279
• Erscheinungstermin: 28. November 2024
• Englisch
• ISBN-13: 9783031779183
• Artikelnr.: 72296846

Inhaltsangabe

.- Application Papers.

.- Adaptive CNN Method For Prostate MR Image Segmentation Using Ensemble Learning.

.- Machine Vision.

.- Optimizing Autonomous Vehicle Racing using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction.

.- Semantic Segmentation for Landslide Detection using Segformer.

.- Vision-Based Human Fall Detection using 3D Neural Networks.

.- Drone-Assisted Infrared Thermography and Machine Learning for Enhanced Photovoltaic Defect Detection: A Comparative Study of ViTs and YOLOv8.

.- Evaluation of AI Systems.

.- Evaluating Algorithms for Missing Value Imputation in Real Battery Data.

.- Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners.

.- Applications of Machine Learning.

.- Emotion Detection in Hindi language using GPT and BERT.

.- Classification and Recommendation of Mental Health Assistance Events Using an RNN-LSTM, Fast-and-Frugal Trees and Weighted Sum System.

.- Digit Detection: Localizing and Convoluting.

.- Djinn - Data Journalism Interface for Newsgathering and Notifications.

.- Advancing Financial Text Sentiment Analysis with Deep Learning and Ensemble Models.

.- Other AI Applications.

.- Explaining a Staff Rostering Problem using Partial Solutions.

.- Formalise Regulations for Autonomous Vehicles with Right-Open Temporal Deontic Defeasible Logic.

.- SLANGO - The Initial Blueprint of Privacy-Oriented Legal Query Assistance: Exploring the potential of Retrieval Augmented Generation for German Law using SPR.

.- Short Application Papers.

.- An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection.

.- A Child-Robot Interaction Experiment to Analyze Gender Stereotypes in the Perception of Mathematical Abilities.

.- Reinforcement Learning for Patient Scheduling with Combinatorial Optimisation.

.- Nursing Activity Recognition for Automated Care Documentation in Clinical Settings.

.- Exploring Efficient Job Shop Scheduling Using Deep Reinforcement Learning.

.- Respiratory Disease Detection Using Deep Convolutional Transformer Models.

.- Evaluating the performance of LLMs when translating Saudi Arabic as Low Resource Language.

.- Bi-directional LSTM Applied to the Maritime Target Motion Analysis Problem.