Artificial Intelligence Applications and Innovations: 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 2629, 2025, Proceedings, Part III [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 Multi-Agent System Approach for Dynamic and Adaptive Daily Profile
Detection in Building Data.


.- Agile MLOps: Bridging the Gap Between Agility and Machine Learning
Operations.


.- Artificial Intelligence in Finnish and Swedish Workflows: A Comparative
Survey of Micro- and Large-Scale Enterprises.


.- Clustering by Limit-Cycles in Hopfield Neural Network.


.- Enhancing Ransomware Detection Using Storage Access Pattern.


.- Fault Detection in Inverter-Driven Permanent Magnet Synchronous Motor
Systems using Semi-Supervised Learning.


.- Fingerprint Minutiae-Based Cryptographic Key Generation: Towards Secure
and Usable Authentication.


.- Handling Anonymized Non-Numerical Features in Data using Transformations
for Regression Models.


.- Higher-Order Multi-Adaptive Neural Network  Modeling of the Role of
Epigenetics in Epilepsy.


.- Historical Map Understanding Using End-to-end Methods.


.- ICU Mechanical Ventilation Data Imputation.


.- Immigration Detection in Multilanguage Tweets Using Machine Learning
Algorithms.


.- Integrating Artificial Intelligence and Digital Tools to Enhance Learning
and Accessibility in Music Education.


.- Interest-Based Pattern Mining For Deforestation  Analysis in the Kroumiria
Region, Tunisia.


.- Large-to-Small: Energy Consumption Reduction of Training the Fully
Connected Layers.


.- Malware Detection through API Call Frequency: Assessing Early-Stage versus
Full-Time Classification Potential.


.- Metaheuristics-based Long Short-Term Memory Optimization for Emotion
Classification.


.- Multi-order Adaptive Dynamical System Modeling of  the Role of Epigenetics
in the Development of Hypomania.


.- Off-Policy Inspired Imitation Learning for Generation of Adversarial
Malware.


.- PixelPath: Predicting UAV Trajectories in GPS-Restricted Environments
Using Image Feature Extraction and Machine Learning.


.- Predicting Vessel Arrival Time Using Machine Learning for Enhanced Port
Efficiency and Optimal Berth Allocation.


.- Semi-Supervised Learning for Early Certification Prediction in MOOCs.


.- So-Connect: recommending layer-wise connections in social networks using
SNN-DBSCAN.


.- Time Series analysis using Memory Enhanced Liquid Neural Network.


.- A Web-Based Information System For Medical Forensics Incorporating
Generative AI in Reports Compilation.


.- Explainable AI-Driven Feature Selection for Improved Intrusion Detection
Systems in the Internet of Medical Things.


.- Explainable Surface-Level Malware Analysis through Scalable and Accurate
Feature Selection.


.- Integrating AI and RDF Knowledge Graphs with MITRE ATT\&CK for CTI
Insights.


.- Markov-Enhanced Clustering for Long Document Summarization: Tackling the
'Lost in the Middle' Challenge with Large Language Models.


.- Merged LIME and SHAP eXplanation (MLSX): BERT case in NER Task.


.- OPJUSTICE - A Multi-label Text Classification Model.


.- SHAKTI: A 2.5 BILLION PARAMETER SMALL LANGUAGE MODEL OPTIMIZED FOR EDGE AI
AND LOW-RESOURCE ENVIRONMENTS.


.- Unified Mental Health Disorder Detection on Social Media.