This book constitutes the proceedings of the Second International Conference on Artificial Intelligence: Towards Sustainable Intelligence, AI4S 2024, held in Alcala de Henares, Spain, during October 3-4, 2024.
The 16 full papers and 2 short papers included in this book were carefully reviewed and selected from 59 submissions. They deal with trustworthy AI and related topics, focusing on software and its engineering; software development process management and methods, etc.
.- Sustainability Performance through a Business Process Mining based Conceptual Framework Integrating GRI Metrics. .- KnowWhereGraph for Land Use Optimization: Achieving Sustainability and Efficiency. .- A Multiple Criteria - based customer Segmentation and Recommendation System for Rural Farmers. .- Enhancing Turkish Music Emotion Prediction: A Comparative Analysis of Ten Machine Learning Techniques. .- Integrating Deep Learning and Imaging Techniques for High-Precision Brain Tumor Analysis. .- Static Video Summarization using Transfer Learning and Clustering. .- Stress-Wed: Stress recognition autoencoder using Wearables Data. .- Optimizing Agricultural Practices through Integrated IoT and ML Solutions. .- AI in Building Systems for Perpetual Monitoring and Control of ESG Practices. .- Attention-based Deep Learning for Hand Gesture Recognition using Multi-sensor Data. .- Climate risk management for aquaculture industry: Robust programming approach vs Random forest algorithm. .- ATF-rPPG: Enhancing Robust Heart Rate Estimation from Face Videos with Attention. .- Enhancing User Control: A Reinforcement Learning Framework for Breaking Filter Bubbles in Recommender Systems. .- Pre-Examination and Classification of Brain Tumor Dataset Using Machine Learning. .- Supplier selection for agriculture industry under uncertainty: Machine learning based sample average approximation method. .- Enhancing Cyclone Preparedness: Deep Learning Methods with INSAT-3D Satellite Imagery. .- Machine Learning Detection of Depression Indicators in Online Communication. .- Cognitive Computing in Cyber Physical Systems - A Paradigm Shift in Anomaly Detection Strategies.