Artificial Intelligence: Towards Sustainable Intelligence
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Artificial Intelligence: Towards Sustainable Intelligence
Second International Conference, AI4S 2024, Alcala de Henares, Spain, October 3-4, 2024, Proceedings
Ortiz-Rodriguez, Fernando; Chhetri, Tekraj Raj; Sicilia, Miguel-Angel; Tiwari, Sanju
Springer International Publishing AG
02/2025
250
Mole
9783031813689
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
software and its engineering;Software development process management;Software development methods;Theory of computation;Semantics and reasoning;Program semantics;Information systems;World Wide Web;Web data description languages;Semantic web description languages;Information systems applications;Data mining;Emerging Technologies;Analysis and design of emerging devices and systems;Emerging tools and methodologies
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
software and its engineering;Software development process management;Software development methods;Theory of computation;Semantics and reasoning;Program semantics;Information systems;World Wide Web;Web data description languages;Semantic web description languages;Information systems applications;Data mining;Emerging Technologies;Analysis and design of emerging devices and systems;Emerging tools and methodologies
