Electronics engineering

Computational methods are necessary for the proper execution of the applications for the benefit of society and technological development.

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Advancement of Optical Methods in Experimental Mechanics, Volume 3: Proceedings of the 2014 Annual Conference on Experimental and Applied Mechanics, the third volume of eight from the Conference, brings together contributions to this important area of research and engineering.

Smart cyber physical systems (SCPS) are revolutionizing the interaction between the physical and digital realms, driving innovation across diverse fields.

This book is designed to demonstrate the need for thermoelectric energy materials including non-conventional materials for heating and cooling applications in thermoelectric energy-efficient devices.

Diagnosis through images, robot surgeons, digital twins, and the metaverse are some of the applications in which artificial intelligence (AI) is involved.

Writing Skills for Scientific Communication is a comprehensive guide designed for researchers, students, and professionals striving for excellence in academic and innovative endeavours.

Machine learning is playing an indispensable role in framing clinical decisions and enhancing accuracy.

In today's rapidly evolving industrial landscape, robotics has become essential for meeting the demands of large-scale production.

This book is designed to demonstrate the need for thermoelectric energy materials including non-conventional materials for heating and cooling applications in thermoelectric energy-efficient devices.

In recent years, many new products have emerged in machinery and electronics, necessitating innovative designs.

In today's rapidly evolving industrial landscape, robotics has become essential for meeting the demands of large-scale production.

This book offers a detailed exploration of the transformative potential of the Internet of Things (IoT) and Blockchain in reshaping industries.

Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence.

Although advanced technologies are the cornerstone of modern life, few people understand how such technologies as robotics or nuclear science actually work.

This book is an update to the first edition of this book.

After many years during which it languished in relative obscurity, in remote classrooms of computer science departments and in small prototype projects for tech companies, artificial intelligence (AI) is now a searingly hot topic across the media.

Optical Science and Engineering explores the fundamental principles and advanced topics within the field of optical science and engineering.

Este libro desarrolla los contenidos relativos al módulo profesional 1664 Digitalización aplicada a los sectores productivos, establecido en el Real Decreto 659/2023, de 18 de julio, por el que se desarrolla la ordenación del Sistema de Formación Profesional.

The proper bonding of systems and equipment is critical for the protection of people and equipment.

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

Structured into three distinct parts, this book is an indispensable resource for navigating the evolution of education and professional training in the age of artificial intelligence (AI) and virtual reality.

The book covers the latest advancements in the field of nanoelectronics, interaction of light with matter, optical properties, surface plasmons, nanophotonic and plasmonic applications, nanomaterials engineering in nanoelectronics, fabrication techniques, and applications.

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In today's digital age, the risks to data and infrastructure have increased in both range and complexity.

This book discusses the concept of the digital twin, which has the potential to change how systems are managed and created.

This book focuses on the present and future trends, technologies, as well as regulations for the reduction, reuse, and recycling of technological waste globally from the perspective of environmental, social, and economic elements of the different connected systems.

The book covers the latest advancements in the field of nanoelectronics, interaction of light with matter, optical properties, surface plasmons, nanophotonic and plasmonic applications, nanomaterials engineering in nanoelectronics, fabrication techniques, and applications.

Power System Management demonstrates the effectiveness of emerging technologies in electrical systems compared to traditional operational systems.

Building on the knowledge of risks, vulnerabilities, and safety measures associated with cyber-physical systems, this book focuses on adapting artificial intelligence (AI) techniques to smart cyber-physical systems application development.

After many years during which it languished in relative obscurity, in remote classrooms of computer science departments and in small prototype projects for tech companies, artificial intelligence (AI) is now a searingly hot topic across the media.

The proper bonding of systems and equipment is critical for the protection of people and equipment.

The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector.

Advances in Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of artificial intelligence in the healthcare domain.

The aim of this handbook is to provide a comprehensive summary of integrated machining processes and technology for precision manufacturing of large-size and small-size components.

This book is an update to the first edition of this book.

This book is a critical introduction to code and software that develops an understanding of its social and philosophical implications in the digital age.

Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence.