Tiwari / Ortiz-Rodriguez / Sicilia Artificial Intelligence: Towards Sustainable Intelligence

Second International Conference, AI4S 2024, Alcala de Henares, Spain, October 3–4, 2024, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-031-81369-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 248 Seiten

Reihe: Springer Nature Proceedings excluding Computer Science

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. 

Zielgruppe

Research

Autoren/Hrsg.

Tiwari, Sanju

Ortiz-Rodriguez, Fernando

Sicilia, Miguel-Angel

Chhetri, Tek Raj

Inhaltsverzeichnis

.- 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.