Artificial Intelligence XLII

This two-volume set, LNAI 16301 and LNAI 16302, constitutes the refereed proceedings of the 45th SGAI International Conference on Artificial Intelligence, AI 2025, held in Cambridge, UK, during December 16-18, 2025.

The 47 full papers and 20 short papers presented in these two volumes were carefully reviewed and selected from 93 submissions. The papers are grouped into these topical sections:

Part I: Technical Papers; Deep Learning; Large Language Models; Machine Learning; Neural Networks;
Techniques of AI and Short Technical Papers.

Part II: Application Papers; Evolutionary Algorithms; Machine Learning; Neural Networks; Medical Computing and Health Informatics; Large Language Models; Natural Language Processing and Machine Vision; Applications of Artificial Intelligence and Short Application Papers.

Klappentext

.- Application Papers. .- Detect, Decide, Explain: An Intelligent Framework for Zero-Day Network Attack Detection (Best Application Paper). .- Evolutionary Algorithms. .- Evolutionary Optimization of Autonomous Agents for Decreasing Resource Intensity on Geographically Located Interdependent Task Sets. .- Explaining Recommender Systems’ Performance via User Behaviour Patterns. .- Machine Learning. .- Soft Actor-Critic Reinforcement Learning for Reactive Current Injection Protocols. .- Car Drag Coefficient Prediction from 3D Point Clouds Using a Slice-Based Surrogate Model. .- A Reinforcement Learning Environment for Job Shop Scheduling with Tool Management. .- HAD-QC: A Hybrid AI Approach for Automated Quality Control of Argo Float Data. .- Multi-Agent Reinforcement Learning Framework for Modeling Astrocyte-Neuron Interactions in Neural Microenvironments. .- Transformer-Based and Generative Classifiers for Mining Imbalanced Datasets. .- DeLSTM-AE: A Decomposition-Driven Framework for Univariate Time Series Anomaly Detection. .- Forecasting Uranium Prices Using LSTM and VMD-Based Ensemble Models. .- Neural Networks. .- Evaluation of Explanations for Object Detection using Transformers with Sonar Data. .- Predicting Londons Precipitation: A Spatio-Temporal Neural Network Approach. .- Medical Computing and Health Informatics. .- Generation, Use and Effects of Synthetic Data to Train Medical AIs: Examined Using the Example of Knee Arthroplasty. .- Synthetic Patient Simulation and Model Stacking for Early Disease Detection: An EHR-focused AI Framework for Diagnostic Accuracy and Generalization. .- How AI is Changing Medicine: a Simple Matter of Time?. .- Large Language Models. .- Multimodal Sarcasm Dataset Generation for a Low-Resource Language: Swahili. .- Enhancing Voice-Controlled Drone Navigation: A Hybrid Approach Using ASR and NLP for UAV Command Interpretation. .- Neuro-Symbolic AI: Combining Neural and Symbolic AI for UK Syndromic Surveillance. .- Bi-Resolution: A Logic Reasoning Enhancement Method for Large Language Models Based on Resolution and Bidirectional Reasoning Fusion. .- Natural Language Processing and Machine Vision. .- From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile Robotics. .- Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data. .- Data Science Approaches to Evaluating Honours Candidates. .- Applications of Artificial Intelligence. .- A Fuzzy-logic Based Cognitive Walkthrough to Assess the Degrees of Soft Skills Targeted in an Intelligent Educational Adventure Game. .- Streamlining Municipal Governance: Detecting Redundancy in Regulation Plans using Text Embeddings in Local Government. .- Exam Timetabling Problem Using Cooperative Hyper-heuristics: A Case Study of the ITC2007 Dataset. .- Carbon Crest: A Personal Carbon Credit Model for Sustainable Transport Behaviour in Greater Manchester. .- Short Application Papers. .- A Transformer-Based Framework for Thematic Analysis of University Reading Lists. .- Early Stroke Prediction Using a Convolutional Neural Network on Temporal Electronic Health Records. .- Comparative Analysis of ChatGPT Memory and an External Conversational Memory Architecture. .- Automatic Detection of Public Speaking Anxiety Through Linguistic Analysis. .- Identifying Employee Potential in Logistics using AI-Supported HR Analytics. .- Generative AI as a Learning Partner: Structural Insights from a VR–GPT Educational Platform. .- TrafficSim: A Simulation Framework for the Scottish Rail Network in ROS2. .- Deep Learning-Driven Identification of Lycra in Textile Blends. .- Evaluation of Raw Signal and Feature-Based Deep Learning Models for Multi-Label ECG Diagnosis on PTB-XL. .- Mitigating Western Bias in Music Genre Classification: A Contrastive Learning Approach for Greek Music. .- Toolbelt-MCP: Exploring the Model Context Protocol for Tool-Use of Large Language Mod

Inhalt

.- Application Papers.
.- Detect, Decide, Explain: An Intelligent Framework for Zero-Day Network Attack Detection (Best Application Paper).
.- Evolutionary Algorithms.
.- Evolutionary Optimization of Autonomous Agents for Decreasing Resource Intensity on Geographically Located Interdependent Task Sets.
.- Explaining Recommender Systems' Performance via User Behaviour Patterns.
.- Machine Learning.
.- Soft Actor-Critic Reinforcement Learning for Reactive Current Injection Protocols.
.- Car Drag Coefficient Prediction from 3D Point Clouds Using a Slice-Based Surrogate Model.
.- A Reinforcement Learning Environment for Job Shop Scheduling with Tool Management.
.- HAD-QC: A Hybrid AI Approach for Automated Quality Control of Argo Float Data.
.- Multi-Agent Reinforcement Learning Framework for Modeling Astrocyte-Neuron Interactions in Neural Microenvironments.
.- Transformer-Based and Generative Classifiers for Mining Imbalanced Datasets.
.- DeLSTM-AE: A Decomposition-Driven Framework for Univariate Time Series Anomaly Detection.
.- Forecasting Uranium Prices Using LSTM and VMD-Based Ensemble Models.
.- Neural Networks.
.- Evaluation of Explanations for Object Detection using Transformers with Sonar Data.
.- Predicting Londons Precipitation: A Spatio-Temporal Neural Network Approach. **.- Medical Computing and Health Informatics.** .- Generation, Use and Effects of Synthetic Data to Train Medical AIs: Examined Using the Example of Knee Arthroplasty.
.- Synthetic Patient Simulation and Model Stacking for Early Disease Detection: An EHR-focused AI Framework for Diagnostic Accuracy and Generalization.
.- How AI is Changing Medicine: a Simple Matter of Time?.
.- Large Language Models.
.- Multimodal Sarcasm Dataset Generation for a Low-Resource Language: Swahili.
.- Enhancing Voice-Controlled Drone Navigation: A Hybrid Approach Using ASR and NLP for UAV Command Interpretation.
.- Neuro-Symbolic AI: Combining Neural and Symbolic AI for UK Syndromic Surveillance.
.- Bi-Resolution: A Logic Reasoning Enhancement Method for Large Language Models Based on Resolution and Bidirectional Reasoning Fusion.
.- Natural Language Processing and Machine Vision.
.- From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile Robotics.
.- Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data.
.- Data Science Approaches to Evaluating Honours Candidates.
.- Applications of Artificial Intelligence.
.- A Fuzzy-logic Based Cognitive Walkthrough to Assess the Degrees of Soft Skills Targeted in an Intelligent Educational Adventure Game.
.- Streamlining Municipal Governance: Detecting Redundancy in Regulation Plans using Text Embeddings in Local Government.
.- Exam Timetabling Problem Using Cooperative Hyper-heuristics: A Case Study of the ITC2007 Dataset.
.- Carbon Crest: A Personal Carbon Credit Model for Sustainable Transport Behaviour in Greater Manche…