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This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. Chapter 1 introduces remote sensing digital image processing in R, while chapter 2 covers pre-processing.
Experimental development of some example mobile apps is conducted to gauge adoption of process models and determine favorable opportunities for integrating the quality assurance processes and procedures in the mobile app life cycle.
This includes analysis of practices of digital game-enhanced L2TL design (the use of vernacular, commercial games),... Læs mere
This revised and expanded new edition includes supplementary web-based teaching resources and a new conceptual approach to parsing algorithms that applies to extended Backus-Naur Form grammars. It delivers inclusive, practicable coverage of the field.
This book collects essential research on the practical application of executable business process modeling in real-world projects, i.e., model-driven solutions for the support and automation of digital business processes that are created using languages such as BPEL or BPMN.
In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model.
This book focuses on picturing B-IoT techniques from a few perspectives, which are architecture, key technologies, security and privacy, service models and framework, practical use cases and more.
This book defines the use of computational approaches to predict the environmental toxicity and human health effects of organic chemicals.
A semantically well-defined programming language widely used in artificial intelligence, Prolog has greatly influenced other programming languages since its introduction in... Læs mere
Demonstrates how odd and unusual math problems can be solved by bringing together basic physics ideas... Læs mere