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Advances in computational intelligence and robotics (ACIR) book series.
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Annotation
"This book explores the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field"--.
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Table of Contents
- Cover
- Title Page
- Copyright Page
- Book Series
- Table of Contents
- Detailed Table of Contents
- Preface
- Chapter 1: Reliability Analysis
- Chapter 2: Reliability Study of Polymers
- Chapter 3: Reliability of CNTFET and NW-FET Devices
- Chapter 4: Traditional and Non-Traditional Optimization Techniques to Enhance Reliability in Process Industries
- Chapter 5: Residual Life Estimation of Humidity Sensor DHT11 Using Artificial Neural Networks
- Chapter 6: Nanocomposite-Based Humidity Sensor
- Chapter 7: Role of Artificial Neural Network for Prediction of Gait Parameters and Patterns
- Chapter 8: Modelling Analysis and Simulation for Reliability Prediction for Thermal Power System
- Chapter 9: High Level Transformation Techniques for Designing Reliable and Secure DSP Architectures
- Chapter 10: Design for Testability of High-Speed Advance Multipliers
- Chapter 11: A Novel Moth-Flame Algorithm for PID-Controlled Processes With Time Delay
- Chapter 12: Artificial Intelligence for Interface Management in Wireless Heterogeneous Networks
- Chapter 13: PVT Variability Check on UCM Architectures at Extreme Temperature-Process Changes
- Chapter 14: Frequency-Based RO-PUF
- Chapter 15: PID Plus Second Order Derivative Controller for Automatic Voltage Regulator Using Linear Quadratic Regulator
- Chapter 16: 40-GHz Inductor Less VCO
- Compilation of References
- About the Contributors
- Index
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