Supercomputers

This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain.

Healthcare is one of the industries that has embraced and benefitted the most from improved internet connectivity and usage.

The aim of this book is to provide a comprehensive exploration of the recent developments in the field of quantum computing.

The aim of this book is to provide a comprehensive exploration of the recent developments in the field of quantum computing.

This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain.

Healthcare is one of the industries that has embraced and benefitted the most from improved internet connectivity and usage.

This book introduces foundational and advanced concepts in artificial intelligence (AI) and machine learning (ML), focusing on their real-world applications and societal implications.

This book explores the critical issue of fairness in human-machine interfaces.

This book examines the transformative role of artificial intelligence (AI) and data engineering in revolutionizing the healthcare landscape.

This book introduces foundational and advanced concepts in artificial intelligence (AI) and machine learning (ML), focusing on their real-world applications and societal implications.

Nonlocal Quantum Computing Theory offers a fresh perspective on quantum computing, moving beyond the traditional qubit-based approach to a physics-driven interpretation of computation.

This book explores the critical issue of fairness in human-machine interfaces.

Nonlocal Quantum Computing Theory offers a fresh perspective on quantum computing, moving beyond the traditional qubit-based approach to a physics-driven interpretation of computation.

This book examines the transformative role of artificial intelligence (AI) and data engineering in revolutionizing the healthcare landscape.

This book presents a thorough examination of computational intelligence and its significant influence on solving intricate engineering challenges.

This book presents a thorough examination of computational intelligence and its significant influence on solving intricate engineering challenges.

The book presents advanced techniques for enhancing mobility management across evolving wireless systems, including 5G and beyond.

The book presents advanced techniques for enhancing mobility management across evolving wireless systems, including 5G and beyond.

This book explores the transformative potential of Explainable AI (XAI) in enhancing healthcare delivery and XAI's role in fostering transparency, trust, and accountability in AI-driven medical decision-making.

This book offers insights into how modern technologies are transforming agriculture with a focus on their effects in aiding sustainability.

This book explores the transformative potential of Explainable AI (XAI) in enhancing healthcare delivery and XAI's role in fostering transparency, trust, and accountability in AI-driven medical decision-making.

This book offers insights into how modern technologies are transforming agriculture with a focus on their effects in aiding sustainability.

Artificial intelligence and technological advancements are continuously transforming the discipline of law in contemporary times.

Artificial intelligence and technological advancements are continuously transforming the discipline of law in contemporary times.

The book presents a comprehensive overview of emerging IoT technologies, IoT devices and sensors and their role in the healthcare industry.

This book examines the potential benefits of cyber-physical systems (CPSs) and their applications for rural development.

This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems.

This book examines the potential benefits of cyber-physical systems (CPSs) and their applications for rural development.

The book presents a comprehensive overview of emerging IoT technologies, IoT devices and sensors and their role in the healthcare industry.

This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems.

This book offers a comprehensive guide to navigating the transformation of the workforce due to the influence of artificial intelligence (AI) across industries and discusses detailed strategies for executing reskilling and upskilling programs for professionals and managers in charge of workforce development, training, and employee retention in an AI-driven landscape.

This book offers a comprehensive guide to navigating the transformation of the workforce due to the influence of artificial intelligence (AI) across industries and discusses detailed strategies for executing reskilling and upskilling programs for professionals and managers in charge of workforce development, training, and employee retention in an AI-driven landscape.

There is a growing need for insights and practical experiences in the evolving field of cyber security for business analytics a need addressed by Cyber Security in Business Analytics.

There is a growing need for insights and practical experiences in the evolving field of cyber security for business analytics a need addressed by Cyber Security in Business Analytics.

This book presents a comprehensive exploration of structural pattern recognition with a clear understanding of graph representation and manipulation.

This book addresses various electronics supply-chain vulnerabilities, attack methods that exploit these vulnerabilities, and design techniques to mitigate the vulnerabilities while defending against the attacks.

Artificial intelligence (AI) and mechatronics are booming areas where most of the industrial sectors are becoming smart nowadays.

There is a need to categorize artificial intelligence (AI) applications, tools, techniques, and algorithms based on their intended use in various design stages.

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

Quantum computing and algorithms are set to revolutionize information processing.

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software.

Many of today's complex scientific applications now require a vast amount of computational power.

Solutions for Time-Critical Remote Sensing ApplicationsThe recent use of latest-generation sensors in airborne and satellite platforms is producing a nearly continual stream of high-dimensional data, which, in turn, is creating new processing challenges.

Every area of science and engineering today has to process voluminous data sets.

The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators.

A Thorough Overview of the Next Generation in ComputingPoised to follow in the footsteps of the Internet, grid computing is on the verge of becoming more robust and accessible to the public in the near future.

Assuming no prior knowledge of plasma physics or numerical methods, Computational Methods in Plasma Physics covers the computational mathematics and techniques needed to simulate magnetically confined plasmas in modern magnetic fusion experiments and future magnetic fusion reactors.

The integration and convergence of state-of-the-art technologies in the grid have enabled more flexible, automatic, and complex grid services to fulfill industrial and commercial needs, from the LHC at CERN to meteorological forecasting systems.

Collects the Latest Research Involving the Application of Process Algebra to ComputingExploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning-process algebra-has become a powerful tool for solving design and implementation challenges of concurrent systems.

Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time.