Ulteriori informazioni
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.
Sommario
.- 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 London`s Precipitation: A Spatio-Temporal Neural Network Approach.
.- Medical Computing and Health Informatics.
.- Generation, Use and Effects of Synthetic Data to Train Medical AI`s: 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 Sig
Riassunto
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.
