Advances and Trends in Artificial Intelligence. Theory and Applications

.- Robotics.

.- A Novel Task Assignment Strategy for Multi-Robot System.

.- Robotic Path Optimization for Efficient Robot Movement in Harsh Environments.

.- A Hybrid Approach for Path Planning in Harsh Environments Combining WOA and DMSGPSO.

.- Multi-Class Semantic Segmentation of Photovoltaic Module Defects and Features: Towards Industrial Robotic Applications.

.- Transformer-Based UWB Positioning: Learning to Correct Ranging Errors for Autonomous Agents.

.- Collision Detection and Avoidance among SWARM Robots using Convolutional neural network (CNN) in Harsh Environment.

.- Education.

.- Interpretable Machine Learning for Predicting and Explaining Code Submission Outcomes in an Online Judge system.

.- Teaching Practices and Effectiveness Assessment of AI Courses Assisted by Large Language Models.

.- Cyber Security.

.- A Self-Adaptive Multi-Modal Cyber Threat Intelligence Framework for Securing Industrial Communication Networks.

.- RANsomCheck: A CNN-Transformer Model for Malware Detection Based on API Call Sequences.

.- A Comprehensive Survey of Cryptography Key Management in Decentralized Identity Ecosystem.

.- Healthcare and Medical Applications.

.- Assessment of frailty levels in older adults through smartphone applications.

.- Ranking Lifelogs for Memory Recall Support.

.- An Efficient and Cost-Effective Medicine Reminder and Dispenser System.

.- Comparative Analysis of Large Language Models and Machine Learning Approaches for the Detection of Dengue Fever Information from ProMED-mail Platform.

.- Model-based diagnosis for building systems - results of an initial feasibility study.

.- Leveraging Real-World Data to Predict Macrovascular Complications in Type 2 Diabetes: A Comparative Machine Learning Study.

.- T-test-based Feature Selection on DNA Microarrays Gene Expression Data for Leukemia Classification.

.- MediTHIM: Temporal Hierarchical Imputation Methods for Medical Time Series.

.- IoT system based on deep learning for the identification and feedback of work postures when using a computer.

.- Advanced Applied Intelligence Methodologies and Application.

.- A Novel Score Function for Ranking Interval-Valued Intuitionistic Fuzzy Values.

.- BF-YOLOv7: Enhancing Helmet Rule Violation Detection.

.- A Smartphone-based Early Detection and Remote Consultation System for Stroke and Dementia.

.- Implementation of a One-Time Random Number Generation Mechanism for Zero-Trust Networks with IoT Transmission Verification.

.- Adaptive DRL-Based Traffic Signal Control with an Infused LSTM Prediction Model.

.- A Fast R1CS Normalization Method Based on Parameter Vectors.

.- Effective Virtual Force Estimation with Semi-Parametric Joint Friction Compensation for Robot Manipulators.

.- Enhancing Traffic Accident Detection with YOLOv5 in Smart City Road Monitoring.

.- Intelligent Systems and e-Applications.

.- Improving University Quality from Student Feedback with Sentiment Analysis.

.- Fusion in Multimodal Sentiment Analysis: A Review of Approaches and Challenges.

.- Multimodal Sarcasm Detection On Vietnamese Social Media.

.- Fine-grained WEEE Product Retrieval Using Hybrid Search and Re-ranking.

.- A Hybrid Knowledge-Based and Machine Learning Approach for Financial Health Prediction in Small and Medium-sized Enterprises.

.- Enhancing Ransomware Detection Using Deep Learning Models.

.- CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection.

.- Industrial and Engineering Applications.

.- Using Meta-Learning to Predict Work-in-Progress: An Approach for Small Datasets.

.- Evaluating Large Language Models for the Automated Generation of Software Requirements.

.- Establishing the subscription service strategies for digital music services using the DAA-NRM approach.

.- Multi-Objective Energy-Efficient Scheduling in Two Stages Hybrid Flowshop under Consideration of No-wait.

.- Beyond Air Pollution Prediction: A Step to Pollution Pattern Discovery With A Novel Binary Neuro-symbolic AI Framework .

.- A Dual-Agent Framework for Condition-Based Maintenance of Production Systems.

.- MST-SGAN-KGQA: An Approach for Industrial Knowledge Graph Quality Assessment.

.- Adversarial Learning Based Error Detection for Industrial Knowledge Graphs.

.- Development and Performance Evaluation of a Wiring Safety Detector for Electrical Sockets in Buildings.