AI and Machine Learning for Mechanical and Electrical Engineering
Herausgeber: Kumar, T. Rajasanthosh; Pande, Sagar Dhanraj; Vinta, Surendra Reddy
AI and Machine Learning for Mechanical and Electrical Engineering
Herausgeber: Kumar, T. Rajasanthosh; Pande, Sagar Dhanraj; Vinta, Surendra Reddy
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The book examines issues involved in the transition from traditional mechanical and electrical engineering and their management systems to the new engineering paradigms created by the application of smart systems. It covers applications, methods to transition to smart engineering and management, and associated ethical implications.
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The book examines issues involved in the transition from traditional mechanical and electrical engineering and their management systems to the new engineering paradigms created by the application of smart systems. It covers applications, methods to transition to smart engineering and management, and associated ethical implications.
Produktdetails
- Produktdetails
- Innovations in Intelligent Internet of Everything IoE
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 330
- Erscheinungstermin: 6. Oktober 2025
- Englisch
- Abmessung: 240mm x 161mm x 22mm
- Gewicht: 642g
- ISBN-13: 9781032759487
- ISBN-10: 1032759488
- Artikelnr.: 73874404
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Innovations in Intelligent Internet of Everything IoE
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 330
- Erscheinungstermin: 6. Oktober 2025
- Englisch
- Abmessung: 240mm x 161mm x 22mm
- Gewicht: 642g
- ISBN-13: 9781032759487
- ISBN-10: 1032759488
- Artikelnr.: 73874404
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Dr. T. Rajasanthosh Kumar is an associate professor of the Department of Mechanical Engineering at Oriental Institute of Science and Technology, Bhopal, India. Dr. Surendra Reddy Vinta is an associate professor of the School of Computer Science and Engineering at VIT-AP University, Amaravati, India. Dr. Sagar Dhanraj Pande is head of the School of Engineering and Technology at Pimpri Chinchwad University, Pune, Maharashtra, India. Dr. Aditya Khamparia is an assistant professor and coordinator of the Department of Computer Science at Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India.
1. Development of a Smart Algorithm to Integrate Fault Detection and
Classification of End-to-End Monitoring of Autonomous Transfer Vehicles 2.
Data Science and ML Algorithms to Investigate Different Testing Scenarios
for Various Anomalies in Driven Electric Motor 3. A Data Fusion Technique
to Detect and Assess Electromechanical Damage 4. AI-Classification and
Protection of Smart Grid Systems 5. An Artificial Intelligence-Based Solar
Radiation Prophesy Model for Green Energy Utilization in Energy Management
System 6. Two-Channel Convolutional Neural Networks for Rolling Bearing
Fault Diagnosis in Unbalanced Datasets 7. The Implementation of Artificial
Intelligence for Auto Gearbox Failure Detection 8. Evolutionary Algorithms
to Optimise Deep Learning Models for Water Industry Forecasts 9. Artificial
Intelligence Anomaly Detection and Root-Cause Analysis 10. Artificial
Intelligence and Internet of Things-Based Intelligent Scheduling for Load
Distribution in Power Grids 11. Coordinated Response Strategies: Swarm
Robotics for Crisis Management 12. Smart Farming and Human-Bioinformatics
Systems Based on IoT and Sensor Devices 13. Machine Learning Techniques
Applied to Predictive Maintenance: A Review 14. Optimization of Parameters
during Tribological Investigations on Azadirachta Indica Based
Bio-Composites 15. ANFIS Modelling Study on Surface Water Analysis 16.
WSN-Based Optimal Crude Oil Storage Health Monitoring Framework 17.
Cybersecurity Education Gamification: A Current Review and Research Agenda
18. Artificial Intelligence and Cybersecurity in 6G Wireless Networks
Classification of End-to-End Monitoring of Autonomous Transfer Vehicles 2.
Data Science and ML Algorithms to Investigate Different Testing Scenarios
for Various Anomalies in Driven Electric Motor 3. A Data Fusion Technique
to Detect and Assess Electromechanical Damage 4. AI-Classification and
Protection of Smart Grid Systems 5. An Artificial Intelligence-Based Solar
Radiation Prophesy Model for Green Energy Utilization in Energy Management
System 6. Two-Channel Convolutional Neural Networks for Rolling Bearing
Fault Diagnosis in Unbalanced Datasets 7. The Implementation of Artificial
Intelligence for Auto Gearbox Failure Detection 8. Evolutionary Algorithms
to Optimise Deep Learning Models for Water Industry Forecasts 9. Artificial
Intelligence Anomaly Detection and Root-Cause Analysis 10. Artificial
Intelligence and Internet of Things-Based Intelligent Scheduling for Load
Distribution in Power Grids 11. Coordinated Response Strategies: Swarm
Robotics for Crisis Management 12. Smart Farming and Human-Bioinformatics
Systems Based on IoT and Sensor Devices 13. Machine Learning Techniques
Applied to Predictive Maintenance: A Review 14. Optimization of Parameters
during Tribological Investigations on Azadirachta Indica Based
Bio-Composites 15. ANFIS Modelling Study on Surface Water Analysis 16.
WSN-Based Optimal Crude Oil Storage Health Monitoring Framework 17.
Cybersecurity Education Gamification: A Current Review and Research Agenda
18. Artificial Intelligence and Cybersecurity in 6G Wireless Networks
1. Development of a Smart Algorithm to Integrate Fault Detection and
Classification of End-to-End Monitoring of Autonomous Transfer Vehicles 2.
Data Science and ML Algorithms to Investigate Different Testing Scenarios
for Various Anomalies in Driven Electric Motor 3. A Data Fusion Technique
to Detect and Assess Electromechanical Damage 4. AI-Classification and
Protection of Smart Grid Systems 5. An Artificial Intelligence-Based Solar
Radiation Prophesy Model for Green Energy Utilization in Energy Management
System 6. Two-Channel Convolutional Neural Networks for Rolling Bearing
Fault Diagnosis in Unbalanced Datasets 7. The Implementation of Artificial
Intelligence for Auto Gearbox Failure Detection 8. Evolutionary Algorithms
to Optimise Deep Learning Models for Water Industry Forecasts 9. Artificial
Intelligence Anomaly Detection and Root-Cause Analysis 10. Artificial
Intelligence and Internet of Things-Based Intelligent Scheduling for Load
Distribution in Power Grids 11. Coordinated Response Strategies: Swarm
Robotics for Crisis Management 12. Smart Farming and Human-Bioinformatics
Systems Based on IoT and Sensor Devices 13. Machine Learning Techniques
Applied to Predictive Maintenance: A Review 14. Optimization of Parameters
during Tribological Investigations on Azadirachta Indica Based
Bio-Composites 15. ANFIS Modelling Study on Surface Water Analysis 16.
WSN-Based Optimal Crude Oil Storage Health Monitoring Framework 17.
Cybersecurity Education Gamification: A Current Review and Research Agenda
18. Artificial Intelligence and Cybersecurity in 6G Wireless Networks
Classification of End-to-End Monitoring of Autonomous Transfer Vehicles 2.
Data Science and ML Algorithms to Investigate Different Testing Scenarios
for Various Anomalies in Driven Electric Motor 3. A Data Fusion Technique
to Detect and Assess Electromechanical Damage 4. AI-Classification and
Protection of Smart Grid Systems 5. An Artificial Intelligence-Based Solar
Radiation Prophesy Model for Green Energy Utilization in Energy Management
System 6. Two-Channel Convolutional Neural Networks for Rolling Bearing
Fault Diagnosis in Unbalanced Datasets 7. The Implementation of Artificial
Intelligence for Auto Gearbox Failure Detection 8. Evolutionary Algorithms
to Optimise Deep Learning Models for Water Industry Forecasts 9. Artificial
Intelligence Anomaly Detection and Root-Cause Analysis 10. Artificial
Intelligence and Internet of Things-Based Intelligent Scheduling for Load
Distribution in Power Grids 11. Coordinated Response Strategies: Swarm
Robotics for Crisis Management 12. Smart Farming and Human-Bioinformatics
Systems Based on IoT and Sensor Devices 13. Machine Learning Techniques
Applied to Predictive Maintenance: A Review 14. Optimization of Parameters
during Tribological Investigations on Azadirachta Indica Based
Bio-Composites 15. ANFIS Modelling Study on Surface Water Analysis 16.
WSN-Based Optimal Crude Oil Storage Health Monitoring Framework 17.
Cybersecurity Education Gamification: A Current Review and Research Agenda
18. Artificial Intelligence and Cybersecurity in 6G Wireless Networks







