"This book explores the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field"--.

• 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