Explainable AI (XAI) for Sustainable Development
portes grátis
Explainable AI (XAI) for Sustainable Development
Trends and Applications
Dhanaraj, Rajesh Kumar; Tiwari, Ravi Shekhar; Kadry, Seifedine; D, Lakshmi
Taylor & Francis Ltd
06/2024
320
Dura
9781032598864
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Sustainable AI: Environmental Implications, Challenges, and Opportunities 2. Artificial Intelligence of Things (AIOT) in Agriculture 4.0 3. EXAI for Computational Sustainability - Models, Services in Smart City and Challenges 4. Impact of Artificial Intelligence and Emotional Intelligence in Autonomous Operation and MSME Entrepreneurs' Performance in the Waste Management Industry 5. Artificial Intelligence Governance and Comprehensibility in Renewable 6. Exploring EEG Characteristics and Machine Learning Classifiers for Accurate Detection of Eye-Blink Mistakes 7. Machine Learning Advancements in Polymer Material Creation: Successful Prediction of Glass Transition Temperature 8. Smart Greenhouse Management System Using AIoT for Sustainable Agriculture 9. Cardiac Images using CardioSegNet: A Deep Learning Approach 10. Artificial Intelligence-Based Techniques for Early Detection of Chiari Malformation 11. AI-Driven Restoration: Enhancing Biodiversity Conservation and Ecosystem Resilience 12. Improvised DenseNet and Faster RCNN for Assisting Agriculture 4.0 13. Libraries for Explainable Artificial Intelligence (EXAI): Python 14. Trends and Advancements of Artificial Intelligence & Explainable Artificial Intelligence in Drug Discovery 15. An In-Depth Analysis of the Potential of AIoT to Improve Agricultural Productivity and Long-Term Sustainability 16. Text-Report Generation from Chest X-Rays using Image Captioning17. The Role of AIoT in Reshaping the Farming Sector 18. Unleashing the Power of XAI (Explainable Artificial Intelligence): Empowering Decision-making and overcoming challenges in Smart Healthcare Automation
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Explainable AI Edge Computing, Healthcare Automation;Robotics;Smart Transportation System;Drug Discovery;Smart City Infrastructure;Manufacturing;Electrical Load forecasting;Digital Twin;Agriculture 4.0;Wearable Smart Healthcare;Cloud Computing;Edge Computing;Healthcare Automation
1. Sustainable AI: Environmental Implications, Challenges, and Opportunities 2. Artificial Intelligence of Things (AIOT) in Agriculture 4.0 3. EXAI for Computational Sustainability - Models, Services in Smart City and Challenges 4. Impact of Artificial Intelligence and Emotional Intelligence in Autonomous Operation and MSME Entrepreneurs' Performance in the Waste Management Industry 5. Artificial Intelligence Governance and Comprehensibility in Renewable 6. Exploring EEG Characteristics and Machine Learning Classifiers for Accurate Detection of Eye-Blink Mistakes 7. Machine Learning Advancements in Polymer Material Creation: Successful Prediction of Glass Transition Temperature 8. Smart Greenhouse Management System Using AIoT for Sustainable Agriculture 9. Cardiac Images using CardioSegNet: A Deep Learning Approach 10. Artificial Intelligence-Based Techniques for Early Detection of Chiari Malformation 11. AI-Driven Restoration: Enhancing Biodiversity Conservation and Ecosystem Resilience 12. Improvised DenseNet and Faster RCNN for Assisting Agriculture 4.0 13. Libraries for Explainable Artificial Intelligence (EXAI): Python 14. Trends and Advancements of Artificial Intelligence & Explainable Artificial Intelligence in Drug Discovery 15. An In-Depth Analysis of the Potential of AIoT to Improve Agricultural Productivity and Long-Term Sustainability 16. Text-Report Generation from Chest X-Rays using Image Captioning17. The Role of AIoT in Reshaping the Farming Sector 18. Unleashing the Power of XAI (Explainable Artificial Intelligence): Empowering Decision-making and overcoming challenges in Smart Healthcare Automation
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
