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Addresses the need for a comprehensive resource on the core concepts of big data analytics along with the tools, techniques, and methodologies. The... Læs mere
This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one... Læs mere
Presents an introduction to computer graphics and geometric modeling. Emphasizing high-level algorithms, this book focuses on... Læs mere
Helping readers numerically solve optimization problems, this book focuses on the fundamental principles and applications of PSO and QPSO... Læs mere
Petascale computers will have an order of magnitude faster than the speediest supercomputer. This book covers topics from scalable algorithm design for massive concurrency to scientific visualization and performance analysis.
Aimed at graduate students and researchers, this book offers a model-driven approach to the... Læs mere
This book offers a new framework for understanding content creation and distribution across automated media platforms. The findings... Læs mere
The text covers applications, algorithms, and tools of distributed information processing in the healthcare sector. It will serve as an... Læs mere
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the machine learning theoretical concepts and approaches that are used in predictive data analytics through practical applications and case studies.
This book discusses Big Data, Cloud Computing, and IoT, with a focus on the benefits and implementation problems. In addition, it examines the... Læs mere