Artificial Intelligence Applications and Innovations: 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 2629, 2025, Proceedings, Part II [Kõva köide]

This four-volume set constitutes the proceedings of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, which was held in Limassol, Cyprus, during June 2025. 

The 123 full papers and 7 short papers were presented in this volume were carefully reviewed and selected from 303 submissions. They focus on ethical-moral AI aspects related to its Environmental impact, Privacy, Transparency, Bias, Discrimination and Fairness.

.- A Fine-grained Actor-Based Autoencoder Model.


.- Advanced IoT-AI Integration for Predictive Management of Positive
Temperature Cold Storage Systems.


.- AI-Driven Artistry - Transforming Guitar Design with Generative Models.


.- An Integrated Convolutional & Transformer Architecture for Word-Based
Handwriter Identification.


.- Assessing Deep Learning Challenges in Lightweight AES Cryptanalysis.


.- Border Gateway Protocol Hijacks and Anomalies Detection: A Graph-based
Deep Learning Approach.


.- Collaborative Split Federated Learning with Parallel Training and
Aggregation.


.- Comparison of Machine Learning and Deep Learning Models for Change of
Direction Classification Using Engineered Features.


.- Declarative, generic definition and effective implementation of transfer
learning algorithms.


.- Disaster Data Driven Forecasting for Preemptive Crisis Response.


.- Domain Adaptation for Automated Tag Prediction in Competitive
Programming.


.- Enhancing Agricultural Disease Management: An Application of Deep Learning
for Fusarium Head Blight Detection in Wheat Crops.


.- Facial Expression Recognition Using Dual Direction Attention and Diffusion
Models with Self-Supervised Learning.


.- Imbalanced Graph Learning via Graph Attention Network and Variational
Autoencoder.


.- Insurance Claim Prediction Using Unbiased Confidence Guarantees.


.- Iterative Resolution of Prompt Ambiguities Using a Progressive
Cutting-Search Approach.


.- Leveraging Incremental Domain Adaptation in Olive Disease Detection.


.- Machine Learning modeling of the impact of masonry infills in-plan
irregularities on the R/C buildings damage response.


.- Machine learning-powered customizable urban land use classification for
high-resolution satellite imagery.


.- MAtCHelper: An Automated Tool for Guiding in the Acceleration and
Compression of Neural Networks.


.- Multi-Model Data Transfer by Knowledge Distillation for Enhancing
Precipitation Nowcasting.


.- Reinforcement Learning for UPI Fraud Detection: Actor Critic Optimization
Approach.


.- Robust Zero-Watermarking of Medical Images based ResNet-50.


.- Shoreline and Sea Level Changes Detection from Satellite Images Using Deep
Learning.


.- Towards Cross-Domain Anomaly Detection in Cyber-Physical Systems: A Hybrid
Approach.


.- A Content-Aware Collaborative Filtering Framework for Video Recommender
Systems.


.- A Personalised Music Recommendation System based on Users Emotions.


.- ColBic : a New Biclustering-based Collaborative Filtering.


.- Cross-domain recommendations using attention and multitask learning.


.- Enhancing Explainability in AI-Powered Data Retrieval Systems.


.- Improving the Diversity and Fairness in Job Recommendations using the
Stable Matching Algorithm.


.- Personalized Hotel Recommendation System.