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This book provides a deeper understanding of the relevant aspects of AI and DAI impacting each other's efficacy for better output. It will bridge... Læs mere
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This book provides a key understanding of CATIA which is a solid modeling software. By using screen shots of step-by-step training, the reader will obtain comprehensive knowledge of all tools provided in CATIA for use in a variety of engineering fields.
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The text discusses emerging new ideas and methodologies that are of common practical interest in the area of smart and sustainable... Læs mere
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This book examines Multi-Criteria Decision Modelling (MCDM) and facilitates diverse ways for it to be a useful tool for... Læs mere
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This book shows how to build and maintain a distinctive and credible employer brand, and develop a set of relevant... Læs mere
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This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
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This book is an attempt to meet the need for a single volume that considers a wide range of applied reliability topics. The material covered will be treated in such a manner that the reader will require no previous knowledge to understand it.
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In the last two decades, machine learning has been dramatically developed and is still experiencing a... Læs mere
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This book explains the concept of man-machine systems by using the mining industry. The goal is to use a mathematical model based approach to improve the quality of human life of the workers and operators with the enhancement of productivity by controlling the process variables.
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This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers.
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Machine Learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques.
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This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism.