Supercomputers

This book explores the transformative potential of blockchain technology and shows how blockchain can promote equitable access to resources and bridge societal gaps.

This book reviews ways to improve statistical machine speech translation between Polish and English.

Swarm Intelligence and Its Applications in Biomedical Informatics discusses Artificial Intelligence (AI) applications in medicine and biology, as well as challenges and opportunities presented in these arenas.

This book presents, in an integrated form, both the analysis and synthesis of three different types of hidden Markov models.

Technological improvements continue to push back the frontier of processor speed in modern computers.

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

This book examines the latest developments in the area of soft computing with engineering applications.

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.

Technological improvements continue to push back the frontier of processor speed in modern computers.

Data science revolves around two giants: Big Data analytics and Deep Learning.

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

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems.

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

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.

This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations.

Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms.

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.

Contemporary High Performance Computing: From Petascale toward Exascale focuses on the ecosystems surrounding the world's leading centers for high performance computing (HPC).

Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation.

Interoperability in IoT for Smart Systems discusses the different facets of interoperability issues among the IoT devices and their solutions, the scalability issues in an IoT network, and provides solutions for plug-n-play of new devices with the existing IoT system.

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.

Engineers across all disciplines can benefit from learning Python.

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were becoming increasingly complex, expensive, and power-hungry.

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.

This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS).

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

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This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations.

This new volume presents a selection of state-of-the-art technological advancements in IoT, network technologies, and software engineering that address unsolved issues in computational intelligence.

This book reviews ways to improve statistical machine speech translation between Polish and English.

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud.

Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications.

The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks.

Tackle the Challenges of Parallel Programming in the Visual Effects IndustryIn Multithreading for Visual Effects, developers from DreamWorks Animation, Pixar, Side Effects, Intel, and AMD share their successes and failures in the messy real-world application area of production software.

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were becoming increasingly complex, expensive, and power-hungry.

This book presents cutting-edge research, advanced techniques, and practical applications of the integration of Cloud Computing and Internet of Things (IoT).

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

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

Computer vision is an effective solution in a diverse range of real-life applications.

The field of SMART technologies is an interdependent discipline.

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines.

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud.

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success.

This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques.

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

A bold, visionary, and mind-bending exploration of how the geometry of chaos can explain our uncertain world-from weather and pandemics to quantum physics and free will Covering a breathtaking range of topics from climate change to the foundations of quantum physics, from economic modelling to conflict prediction, from free will to consciousness and spirituality The Primacy of Doubt takes us on a unique journey through the science of uncertainty.

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

The book explores the critical challenge of securing sensitive medical data in the face of rising cyber threats.

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