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Sachan S: AI-Based Solutions for Hybrid
and Electric Vehicles

AI-Based Solutions for Hybrid and Electric Vehicles

Stability Analysis of Grid-Connected Converters

Concepts and Applications

Neuro-Symbolic AI

Nanocomposites for Space and Defense Applications

Optimization Techniques

Machine Learning in the Manufacturing Process

Embedded Systems in Automotive Applications

Wiley Series in Materials for Electronic & Optoelectronic Applications

Authoritative reference making piezoelectric materials technology more accessible by crossing the boundary between fundamental materials physics and applied engineering Piezoelectric Materials provides a comprehensive overview of the subject, an important class of smart materials which are useful as both actuators and sensors, covering materials, properties, and devices, including case studies of example applications. In addition to providing the underlying science on the subject, the text also supports those interested in using piezoelectric actuators and sensors in real world applications. Early chapters help the reader understand the limits and appropriate operating conditions for the piezoelectric and ferroelectric devices described in later chapters. Other topics discussed in Piezoelectric Materials include: The range of piezoelectric and ferroelectric materials and their fundamental properties and applications in sensors, actuators, and as energy harvesting elements. Designs for various piezoelectric devices, including case studies on piezoelectric actuator applications, e.g., for servovalves, hydrophones, and active vibration control. Key limits of these materials and fundamental equations to predict displacement, force, resonance, and power requirements. Piezoelectric Materials serves as an invaluable reference on the subject and makes piezoceramic materials technology more accessible to researchers, advanced students, and practicing engineers. The text is also helpful to those in industries using piezoelectrics, in particular manufacturers of optics, photonics, and nanometrology equipment.

Properties, Applications and Devices

Piezoelectric Materials

Efficient Signal Processing Solutions

Deep Learning Meets FPGA

Exploring the Wireless Frontier

Wearable Antennas

Moving Towards Fully Autonomous and Cost-Effective Surgical Robotic Systems with AI offers advanced insights into how AI can be used to optimize the design, manufacturing, and clinical application of these systems. It covers a wide range of topics, including the introduction of surgical robotic systems design and the presentation of a fully autonomous surgical robotic system for minimally invasive surgery. Advanced medical imaging techniques integrated with surgical robots are discussed to enhance surgical precision and safety. The book also highlights the application of machine learning and deep learning models in robotic-assisted surgery, with the development of novel algorithms for autonomous surgical robots. Various AI approaches for optimizing surgical robotic systems and the design considerations for manufacturing and assembly are examined. Additionally, the book includes a thorough analysis of the life cycle and economic aspects of surgical robotic systems, as well as risk assessment and evaluation methods. The final chapters address ethics considerations and explore future enhancements in the realm of fully autonomous surgical robotic systems. Overall, this book aims to contribute to the technical understanding, design aspects, and ethical dimensions of surgical robotics, promoting safer and more efficient surgical procedures.

Moving Towards Fully Autonomous and Cost-Effective Surgical Robotic Systems with AI

Quantum Computing, Machine Learning, and Bio-inspired Optimization

Advanced Techniques for Optimal Sizing of Analog Integrated Circuits

Digital twins represent an emerging technology of immense potential across various industries. Their significance is particularly pronounced within Industry 4.0 and smart manufacturing paradigms, which strive to elevate efficiency and quality through seamless digital integration. By amassing and scrutinizing extensive data streams, digital twins empower data-centric decision-making-a pivotal asset in contemporary industry. Digital Twins of Advanced Materials Processing bridges the gap in comprehensive resources concerning advanced materials processing, a domain characterized by rapid evolution. It provides pragmatic remedies and real-world case studies, catering to tangible implementation needs. Moreover, digital twins hold the capacity to amplify efficiency and innovation within materials processing-a perspective deeply explored within this book, rendering it invaluable for professionals, researchers, and students alike. The prospects of employing digital twins in materials processing span diverse horizons: refining materials innovation, streamlining processes, enabling data-driven maintenance, enhancing product quality, and unearthing insights rooted in data. The book also undertakes the challenge of addressing key issues encompassing data amalgamation and integrity, model validation and calibration, software and data safeguarding, scalability, and cost considerations.

Digital Twins of Advanced Materials Processing

Design, Preparation and Environmental, Biological and Biomedical Applications

Molecular Imprinting-Based Carbonaceous Nanomaterials

AI-Based Solutions for Hybrid and Electric Vehicles

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