Advancing VLSI through Machine Learning : Innovations and Research Perspectives (Hardcover)

Chapter 1. Foundations of VLSI and Machine Learning

• Optimizing Circuit Synthesis: Integrating Neural Networks and Evolutionary Algorithms for Increased Design Efficiency

Chapter 2. Physical Processes Analysis and Phenomena: Insights into Trapping in AlGaN/GaN HEMTs

• Study of Physical Processes Analysis and Phenomena of Insights of Trapping in the Performance Degradation in AlGaN/GaN HEMTs

Chapter 3. Framework for Design and Performance Evaluation of Memory using Memristor

• Framework for Design and Performance Evaluation of Memory using Memristor

Chapter 4. Innovative Design and Optimization of High-Power Amplifiers

• Innovative Design and Optimization of High-Power Amplifiers: A Comparative Study with GaN HEMT and CMOS Technologies

Chapter 5. Exploring FPGA Architecture Designs for Matrix Multiplication in Machine Learning

• Exploring FPGA Architecture Designs for Matrix Multiplication in Machine Learning

Chapter 6. Silicon Chip Design and Testing

• Silicon Chip Design and Testing

Chapter 7. A Novel Deep Learning Approach for Early Brain Tumour Detection

• A Novel Deep Learning Approach for Early Brain Tumour Detection

Chapter 8. TCAD Augmented Machine Learning for Prediction of Device Behavior and Failure Analysis

• TCAD Augmented Machine Learning for the Prediction of Device Behaviour and Failure Analysis

Chapter 9. Opportunities and Challenges for ML-Based FPGA Backend Flow

• Opportunities and Challenges for ML-Based FPGA Backend Flow

Chapter 10. Role of Machine Learning Applications in VLSI Design

• Role of Machine Learning Applications in VLSI Design

Chapter 11. Application of Artificial Intelligence/Machine Learning in VLSI Design

• Application of Artificial Intelligence/Machine Learning in VLSI Design

Chapter 12. FinFET-Based 9T SRAM for Enhanced Performance in AI/ML Applications

• FinFET-Based 9T SRAM for Enhanced Performance in AI/ML Applications

Chapter 13. Power Consumption and SNM Analysis of 6T and 7T SRAM using 90nm Technology

• Power Consumption and SNM Analysis of 6T and 7T SRAM using 90nm Technology

Chapter 14. Transforming Electronics: An Extensive Analysis of Hyper-FET Technological Developments and Utilisation

• Transforming Electronics: An Extensive Analysis of Hyper-FET Technological Developments and Utilisation

Chapter 15. VLSI Realization of Smart Systems using Blockchain and Fog Computing

• VLSI Realization of Smart Systems using Blockchain and Fog Computing