Artificial Intelligence: Towards Sustainable Intelligence

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.

Inhalt

.- 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.