Electronics engineering

This book comprehensively covers core algorithms and techniques used in artificial intelligence (AI) and machine learning (ML) for engineering applications.

This is a comprehensive guide to the latest innovations in reconfigurable RF and microwave technologies, providing a deep dive into advanced materials, fabrication techniques, and integration methods that are transforming the industry.

This book offers a straightforward explanation of groundbreaking artificial vision technology, which can provide limitless scalable resolution and lens-less, human-like vision with electronic control over focus, field of view, and direction.

The text comprehensively discusses the implementation of sensor systems using artificial intelligence, quantum device and circuit with artificial intelligence, and biomedical implementation of artificial intelligence-based optoelectronic circuits.

This book explores the multifaceted nature of AI implementation in modern business strategy, focusing on its present and future impact on various sectors.

This book features a collection of high-quality research papers presented at the 11th International Symposium on Applied Computing for Software and Smart systems (ACSS 2024), to be held during September 19-20, 2024, in Kolkata, India.

This reference text presents industrial and real-case scenarios of the various businesses from the edge points to the interior manufacturing units where the data is smartly generated using the Internet of Things and processed.

The book includes nature-inspired optimization techniques and their applications.

This book is a collection of high-quality peer-reviewed research papers presented at the International Conference on Recent Trends in Computing (ICRTC 2024), organized by SRM Institute of Science and Technology, Ghaziabad, held in Delhi, India, from July 5-6, 2024.

The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc.

This book features a collection of high-quality research papers presented at the 11th International Symposium on Applied Computing for Software and Smart systems (ACSS 2024), to be held during September 19-20, 2024, in Kolkata, India.

This book covers a wide range of topics related to human-robot interaction, both physical and cognitive, including theories, methodologies, technologies, and experimental studies.

This book delves into the intricate world of electric drives, offering a comprehensive guide to advanced control strategies.

The book includes nature-inspired optimization techniques and their applications.

Data as the Fourth Pillar reasons that data should be considered the fourth pillar of every enterprise, alongside people, processes, and technology.

This book provides a detailed study of several types of control problems in multi-agent systems, including consensus, output regulation, containment, and formation problems.

This comprehensive guide to the emerging areas and synergistic relationships among the domains of 6G, machine learning, and embedded systems offers readers a detailed analysis of their converging paths and contributions to the development of intelligent wireless systems.

This book provides a detailed study of several types of control problems in multi-agent systems, including consensus, output regulation, containment, and formation problems.

With contributions from experts from around the world, this handbook aims to systemize the existing experience and knowledge that can be used to the development of more efficient and controlled railway systems.

This book provides a comprehensive overview of the intersection of computational intelligence, health informatics, and computer-aided diagnosis (CAD).

Comprising two volumes, RNA: Computational Methods for Structure, Kinetics, and Rational Design is a comprehensive treatment of computational methods concerning the secondary structure, folding kinetics and rational design of RNA.

A robot's appearance and its way of interacting with humans is of fundamental importance.

There is a lot of excitement around quantum computers that use superconducting qubits, which operate at extremely low temperatures since they are ultra-sensitive to noise.

Advances in Optics of Charged Particle Analyzers: Part Two, Volume 233 merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.

The book emphasizes the technological advancements in tissue engineering related to biomaterials and biomanufacturing techniques.

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus.

Written for the practicing electronics professional, Tolerance Analysis of Electronic Circuits Using MATHCADa offers a comprehensive, step-by-step treatment of methods used to perform analyses essential to the design process of circuit cards and systems of cards, including:worst-case analysis, limits for production testing, component stress analysis, determining if a design meets specification limits, and manufacturing yield analysis Using a practical approach that allows engineers and technicians to put the techniques directly into practice, the author presents the mathematical procedures used to determine performance limits.

The TransNav 2011 Symposium held at the Gdynia Maritime University, Poland in June 2011 has brought together a wide range of participants from all over the world.

Parallel processing can be ideally suited for the solving of more complex problems in statistical computing.

From the streets of London to subway stations in New York City, hundreds of thousands of surveillance cameras ubiquitously collect hundreds of thousands of videos, often running 24/7.

This proceedings volume contains selected papers presented at the 2014 International Conference on Future Mechatronics and Automation, held in Beijing, China.

Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging.

What do financial data prediction, day-trading rule development, and bio-marker selection have in common?

This book provides a comprehensive discussion about the trends in network transformation towards intelligent networks and what the future holds for communication infrastructure.

This book provides a comprehensive discussion about the trends in network transformation towards intelligent networks and what the future holds for communication infrastructure.

Traditionally, neural networks and wavelet theory have been two separate disciplines, taught separately and practiced separately.

The International Conference on Engineering Sciences and Technologies (ESaT 2015), organized under the auspices of the Faculty of Civil Engineering, Technical University in Ko,ice , Slovak Republic was held May 27,29, 2015 in the High Tatras, Slovak Republic.

Ferroic materials are important, not only because of the improved understanding of condensed matter, but also because of their present and potential device applications.

Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality.

With the massive and pervasive diffusion of robotics technology in our society, we are heading towards a new type of AI, which we call Physical AI at the intersection of Robotics with AI, that is the science of robots and intelligent machines performing a physical action to help humans in their jobs of daily lives.

Machine Learning for Radio Resource Management and Optimization in 5G and Beyond highlights a new line of research that uses innovative technologies and methods based on artificial intelligence/machine learning techniques to address issues and challenges related to radio resource management in 5G and 6G communication systems.

There is an urgent need to develop robust strategies to respond to and leverage new and emerging technologies, particularly those based on artificial intelligence (AI).

In machine learning applications, practitioners must take into account the cost associated with the algorithm.