Artificial Intelligence: Towards Sustainable Intelligence
Second International Conference, AI4S 2024, Alcala de Henares, Spain, October 3-4, 2024, Proceedings
Herausgegeben:Tiwari, Sanju; Ortiz-Rodriguez, Fernando; Sicilia, Miguel-Angel; Chhetri, Tek Raj
Artificial Intelligence: Towards Sustainable Intelligence
Second International Conference, AI4S 2024, Alcala de Henares, Spain, October 3-4, 2024, Proceedings
Herausgegeben:Tiwari, Sanju; Ortiz-Rodriguez, Fernando; Sicilia, Miguel-Angel; Chhetri, Tek Raj
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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.
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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.
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.
Produktdetails
- Produktdetails
- Communications in Computer and Information Science 2243
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-81368-9
- Seitenzahl: 260
- Erscheinungstermin: 2. Februar 2025
- Englisch
- Abmessung: 235mm x 155mm x 15mm
- Gewicht: 400g
- ISBN-13: 9783031813689
- ISBN-10: 3031813685
- Artikelnr.: 72159569
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Communications in Computer and Information Science 2243
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-81368-9
- Seitenzahl: 260
- Erscheinungstermin: 2. Februar 2025
- Englisch
- Abmessung: 235mm x 155mm x 15mm
- Gewicht: 400g
- ISBN-13: 9783031813689
- ISBN-10: 3031813685
- Artikelnr.: 72159569
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
.- 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.
.- 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.
.- 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.
.- 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.