Artificial Intelligence XLI
Springer International Publishing (Verlag)
978-3-031-77917-6 (ISBN)
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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.
.- 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.
| Erscheint lt. Verlag | 14.1.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XIV, 266 p. 67 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Artificial Intelligence • Case-Based Reasoning • Constraint Satisfaction • Deep learning • Fuzzy Logic • Intelligent Systems • Large Language Models • machine learning • Natural Language Processing • Neural networks • Rule Induction • vision systems |
| ISBN-10 | 3-031-77917-7 / 3031779177 |
| ISBN-13 | 978-3-031-77917-6 / 9783031779176 |
| Zustand | Neuware |
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