Industry Automation: The Technologies, Platforms and Use Cases
Industry Automation: The Technologies, Platforms and Use Cases
Kumar, Ananth; Kumar, Abhishek; Raj, Pethuru; Singhal, Neha
River Publishers
08/2024
396
Dura
9788770040396
15 a 20 dias
Descrição não disponível.
1. An Analytical Framework for the Industrial Internet of Things (IIoT): Importance, Recent Challenges, and Enabling Technologies 2. Industry Automation: The Contributions of Artificial Intelligence (AI) 3. Industry Automation: The Contributions of Artificial Intelligence 4. Artificial Intelligence (AI) Driven Industrial Automation 5. Quantum Machine and Deep Learning Models for Industry Automation 6. The Contribution of Computer Vision in the Manufacturing Industries and the Scope for Further Excellence 7. Waste Management 4.0: An Industry Automation Approach to the FutureWaste Management System 8. Industrial Internet of Things (IIoT) for E-waste Recycling System 9. A Multi-hazard Industry Assessment System Based on Unmanned Aerial Vehicles (UAVs) for Bridges Crossing Seasonal Rivers 10. Air Quality Prediction using Machine Learning Techniques for Intelligent Monitoring Systems 11. Facial Emotion Classification for Industry Automation using Convolutional Neural Networks 12. Automatic Hand Sanitizer Dispenser by Industrial Automation using Arduino and Photodiode 13. Energy Efficiency Investigation in Massive MIMO Communication for Industry Automation using Precoding Schemes 14. Internet of Things and Cybersecurity Mechanism for Industrial Automation Systems 15. Illustrating the Mesmerizing Edge AI Journey for Industry Automation 16. Edge Computing and Analytics: A New Computing Paradigm for Better User Experience
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Automation
1. An Analytical Framework for the Industrial Internet of Things (IIoT): Importance, Recent Challenges, and Enabling Technologies 2. Industry Automation: The Contributions of Artificial Intelligence (AI) 3. Industry Automation: The Contributions of Artificial Intelligence 4. Artificial Intelligence (AI) Driven Industrial Automation 5. Quantum Machine and Deep Learning Models for Industry Automation 6. The Contribution of Computer Vision in the Manufacturing Industries and the Scope for Further Excellence 7. Waste Management 4.0: An Industry Automation Approach to the FutureWaste Management System 8. Industrial Internet of Things (IIoT) for E-waste Recycling System 9. A Multi-hazard Industry Assessment System Based on Unmanned Aerial Vehicles (UAVs) for Bridges Crossing Seasonal Rivers 10. Air Quality Prediction using Machine Learning Techniques for Intelligent Monitoring Systems 11. Facial Emotion Classification for Industry Automation using Convolutional Neural Networks 12. Automatic Hand Sanitizer Dispenser by Industrial Automation using Arduino and Photodiode 13. Energy Efficiency Investigation in Massive MIMO Communication for Industry Automation using Precoding Schemes 14. Internet of Things and Cybersecurity Mechanism for Industrial Automation Systems 15. Illustrating the Mesmerizing Edge AI Journey for Industry Automation 16. Edge Computing and Analytics: A New Computing Paradigm for Better User Experience
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.