E-grāmata: Artificial Intelligence XLI: 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17-19, 2024, Proceedings, Part II

.- 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.