Supercomputers

This edited book is a collection of quality research articles reporting research advances in the area of deep learning, IoT and urban computing.

Supercomputing is a strategic tool for the future.

This book discusses various artificial intelligence and machine learning applications concerning smart buildings.

This book explains the concept of data centers, including data collection, public parking systems, smart metering, and sanitizer dispensers.

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods.

This book presents an in-depth description of the Arrowhead Framework and how it fosters interoperability between IoT devices at service level, specifically addressing application.

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices.

From the Foreword:"e;The authors of the chapters in this book are the pioneers who will explore the exascale frontier.

'This colourful page-turner puts artificial intelligence into a human perspective .

A collection of seven long articles, this book comprehensively discusses significant projects in scalable computing in various research organizations around the world.

Circuits and architectures have become more complex in terms of structure, interconnection topology, and data flow.

This practical book presents fundamental concepts and issues in computer modeling and simulation (M&S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems.

Learn how to write R code with fewer bugs.

This book addresses the challenges in the software engineering of variability-intensive systems.

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector.

The Internet of Things (IoT) has made revolutionary advances in the utility grid as we know it.

Collecting scattered knowledge into one coherent account, this book provides a compendium of both classical and recently developed results on reversible computing.

The Internet of Things (IoT) has made revolutionary advances in the utility grid as we know it.

This text demystifies the subject of operating systems by using a simple step-by-step approach, from fundamentals to modern concepts of traditional uniprocessor operating systems, in addition to advanced operating systems on various multiple-processor platforms and also real-time operating systems (RTOSs).

HPC is used to solve a number of complex questions in computational and data-intensive sciences.

CAD/CAM systems are perhaps the most crucial advancement in the field of new technology relating to engineering, design and drawing in all technical domains.

Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach.

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.

Covering both the theoretical and practical aspects of fault-tolerant mobile systems, and fault tolerance and analysis, this book tackles the current issues of reliability-based optimization of computer networks, fault-tolerant mobile systems, and fault tolerance and reliability of high speed and hierarchical networks.

Until now, there were few textbooks that focused on the dynamic subject of speculative execution, a topic that is crucial to the development of high performance computer architectures.

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.

This book studies the evolution of sustainable green smart cities and demonstrates solutions for green environmental issues using modern industrial IoT solutions.

What is artificial intelligence (AI)?

This book gives a complete overview of cloud computing: its importance, its trends, innovations, and its amalgamation with other technologies.

This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science.

Interactive media are a human-machine interface that allows people to connect with each other by making them active participants in the media they consume through text, graphics, audio and video.

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

This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems.

The new book presents a valuable selection of state-of-the-art technological advancements using the concepts of AI and machine learning, highlighting the use of predictive analytics of data to find timely solutions to real-time problems.

This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth.

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today.

Blockchain and distributed ledger technology (DLT) have been identified as emerging technologies that can enhance global supply chain management processes.

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language.

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices.

*This book is published in the US as Tracers in the Dark.

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.

This book explains the concept of data centers, including data collection, public parking systems, smart metering, and sanitizer dispensers.

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An In-Depth, Practical Guide to GPGPU Programming Using Direct3D 11GPGPU Programming for Games and Science demonstrates how to achieve the following requirements to tackle practical problems in computer science and software engineering:RobustnessAccuracySpeedQuality source code that is easily maintained, reusable, and readableThe book primarily add

Although multicore is now a mainstream architecture, there are few textbooks that cover parallel multicore architectures.

This book examines the applications, trends and challenges of 5G Enabled technologies for Smart City and Urbanization systems.

This book discusses various artificial intelligence and machine learning applications concerning smart buildings.

This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center.

Today we witness an explosive growth in attention to Q-computing.

This is one of the first parallel computing books to focus exclusively on parallel data structures, algorithms, software tools, and applications in data science.