Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance.
With the advent of portable and autonomous computing systems, power con- sumption has emerged as a focal point in many research projects, commercial systems and DoD platforms.
Automatic transformation of a sequential program into a parallel form is a subject that presents a great intellectual challenge and promises a great practical award.
High Performance Scientific And Engineering Computing: Hardware/Software Support contains selected chapters on hardware/software support for high performance scientific and engineering computing from prestigious workshops in the fields such as PACT-SHPSEC, IPDPS-PDSECA and ICPP-HPSECA.
Fault-Tolerant Parallel Computation presents recent advances in algorithmic ways of introducing fault-tolerance in multiprocessors under the constraint of preserving efficiency.
Effective compilers allow for a more efficient execution of application programs for a given computer architecture, while well-conceived architectural features can support more effective compiler optimization techniques.
Nonlinear Assignment Problems (NAPs) are natural extensions of the classic Linear Assignment Problem, and despite the efforts of many researchers over the past three decades, they still remain some of the hardest combinatorial optimization problems to solve exactly.
Optical media are now widely used in the telecommunication networks, and the evolution of optical and optoelectronic technologies tends to show that their wide range of techniques could be successfully introduced in shorter-distance interconnection systems.
Digital image business applications are expanding rapidly, driven by recent advances in the technology and breakthroughs in the price and performance of hardware and firmware.
Image and Video Compression Standards: Algorithms and Architectures presents an introduction to the algorithms and architectures that underpin the image and video compression standards, including JPEG (compression of still images), H.
Database Concurrency Control: Methods, Performance and Analysis is a review of developments in concurrency control methods for centralized database systems, with a quick digression into distributed databases and multicomputers, the emphasis being on performance.
The term "e;peer-to-peer"e; has come to be applied to networks that expect end users to contribute their own files, computing time, or other resources to some shared project.
With a specific focus on energy efficiency, Optimizing IoT Networks examines the application of machine learning to enhance resource allocations in IoT networks.
Applying Color Theory to Digital Media and Visualization provides an overview of the application of color theory concepts to digital media and visualization.
This edited volume brings together diverse perspectives on machine learning and AI applications in optical and wireless systems, offering a structured and comprehensive resource for researchers and professionals.
With a specific focus on energy efficiency, Optimizing IoT Networks examines the application of machine learning to enhance resource allocations in IoT networks.
The book underscores AI's transformative impact on reshaping physical, digital, and biological boundaries, converging with technologies like robotics, IoT, 3D printing, genetic engineering, and quantum computing-termed Web 3.
Researchers and scientists have invested a great deal of effort into developing computers and other devices to be more capable of doing a wider range of tasks.
Digital Strategy and Governance in Transformative Technologies offers a comprehensive exploration of how emerging technologies are reshaping business operations, governance structures, and societal interactions.
In contemporary research, the supercomputer now ranks, along with radio telescopes, particle accelerators and the other apparatus of "e;big science"e;, as an expensive resource, which is nevertheless essential for state of the art research.
Information security primarily serves these six distinct purposes-authentication, authorization, prevention of data theft, sensitive data safety / privacy, data protection / integrity, non-repudiation.
Drawing on the author's 25+ years of teaching experience, Signals and Systems: A MATLAB Integrated Approach presents a novel and comprehensive approach to understanding signals and systems theory.
Although multihomed communication is a rapidly emerging trend for next generation networks, no known book explores multihomed communication with the Stream Control Transmission Protocol (SCTP).
Industrial Applications of High-Performance Computing: Best Global Practices offers a global overview of high-performance computing (HPC) for industrial applications, along with a discussion of software challenges, business models, access models (e.
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
This book provides the necessary elements to determine exactly what information should be collected to make the collected information relevant for policy makers.
This book provides readers at all levels of technical expertise with an understanding of mobile device concepts, application development processes, networking and infrastructure, and security methods.
