Advances in Electrical Engineering and Computational Science 1st edition by Len Gelman ISBN 9048123100 978-9048123100

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ISBN 10: 9048123100
ISBN 13: 978-9048123100
Author: Len Gelman

Advances in Electrical Engineering and Computational Science contains sixty-one revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Control Engineering, Network Management, Wireless Networks, Biotechnology, Signal Processing, Computational Intelligence, Computational Statistics, Internet Computing, High Performance Computing, and industrial applications. Advances in Electrical Engineering and Computational Science will offer the state of art of tremendous advances in electrical engineering and computational science and also serve as an excellent reference work for researchers and graduate students working with/on electrical engineering and computational science.

Advances in Electrical Engineering and Computational Science 1st Table of contents:

Preface

• Overview of the Book
• Purpose and Scope
• Who Should Read This Book
• How to Use the Book

Chapter 1: Introduction to Electrical Engineering and Computational Science
1.1. Introduction to Electrical Engineering
1.2. Overview of Computational Science
1.3. The Role of Computational Methods in Electrical Engineering
1.4. Interdisciplinary Nature of Electrical Engineering and Computational Science
1.5. Emerging Trends in Electrical Engineering and Computational Science
1.6. Challenges and Opportunities

Chapter 2: Computational Techniques in Electrical Engineering
2.1. Numerical Methods and Their Applications
2.2. Simulation and Modeling in Electrical Engineering
2.3. Finite Element Method (FEM) for Electrical Systems
2.4. Computational Fluid Dynamics (CFD) in Electrical Systems
2.5. Optimization Techniques in Electrical Engineering
2.6. Computational Electromagnetics

Chapter 3: Power Systems and Grid Modernization
3.1. Overview of Power Systems
3.2. Smart Grids and Power System Automation
3.3. Computational Modeling of Power Grids
3.4. Load Flow Analysis and Optimization Techniques
3.5. Power System Stability and Control
3.6. Renewable Energy Integration into Power Systems
3.7. Advanced Algorithms for Power Grid Operation

Chapter 4: Signal Processing and Computational Algorithms
4.1. Introduction to Signal Processing
4.2. Digital Signal Processing (DSP) Techniques
4.3. Adaptive Filtering and Noise Reduction
4.4. Image and Video Processing Algorithms
4.5. Audio Signal Processing and Computational Techniques
4.6. Machine Learning in Signal Processing
4.7. Applications in Communication Systems

Chapter 5: Embedded Systems and Computational Hardware
5.1. Introduction to Embedded Systems
5.2. Microcontrollers and Hardware Design
5.3. Real-Time Systems and Scheduling Algorithms
5.4. FPGA and ASIC Design for Computational Applications
5.5. Embedded System Software and Optimization
5.6. High-Performance Computing in Embedded Systems
5.7. IoT and Computational Intelligence

Chapter 6: Computational Electromagnetics and Antenna Design
6.1. Fundamentals of Electromagnetics
6.2. Computational Methods in Electromagnetics
6.3. Antenna Design and Optimization
6.4. Radio Frequency (RF) Systems and Computational Analysis
6.5. Wave Propagation and Computational Electromagnetics
6.6. Applications in Wireless Communications and Radar Systems
6.7. Modeling of Complex Electromagnetic Environments

Chapter 7: Power Electronics and Control Systems
7.1. Introduction to Power Electronics
7.2. Modeling and Simulation of Power Electronics
7.3. Control Techniques in Power Electronics
7.4. Algorithms for Power Converter Design
7.5. Digital Control in Power Electronics
7.6. Modeling Power Semiconductor Devices
7.7. Applications in Renewable Energy Systems

Chapter 8: Artificial Intelligence and Machine Learning in Electrical Engineering
8.1. Role of AI in Electrical Engineering
8.2. Machine Learning Algorithms and Their Applications
8.3. Deep Learning and Neural Networks
8.4. Predictive Maintenance using AI in Electrical Systems
8.5. Intelligent Control Systems for Power Management
8.6. AI for Fault Detection and Diagnostics
8.7. Autonomous Systems and Robotics

Chapter 9: Computational Methods for Communication Systems
9.1. Overview of Communication Systems
9.2. Signal Modulation and Demodulation Techniques
9.3. Computational Methods for Channel Modeling
9.4. Error Control Coding and Decoding Algorithms
9.5. MIMO and OFDM Systems
9.6. Computational Techniques in Wireless Communications
9.7. Computational Modeling of Communication Networks

Chapter 10: Advances in Computational Algorithms for Electronics
10.1. Electronics Simulation and Design Software
10.2. Computational Techniques in Circuit Analysis
10.3. Nonlinear Systems and Algorithms for Electronics
10.4. Optimization Algorithms for Circuit Design
10.5. VLSI Design and Computational Tools
10.6. Electronic Component Modeling
10.7. Advanced Topics in Electronic Systems

Chapter 11: Future Directions in Electrical Engineering and Computational Science
11.1. Convergence of Electrical Engineering and Computational Science
11.2. Quantum Computing and Its Impact on Electrical Engineering
11.3. Advanced Computational Techniques for Energy Systems
11.4. Future of AI in Electrical Engineering
11.5. Sustainable and Green Technologies
11.6. Integration of 5G, IoT, and Smart Systems
11.7. Emerging Challenges and Opportunities

Appendices
A.1. Glossary of Key Terms
A.2. List of Abbreviations
A.3. Further Reading and Resources
A.4. Index

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