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This book gives a holistic overview of creating appropriate charts by describing a sequence of visualizations. The book presents step by step... Læs mere
This book focuses on the opportunities and challenges for data-driven modelling and... Læs mere
Advancements in computational intelligence, which encompasses artificial intelligence, machine learning, and data... Læs mere
Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles.
Datacenter Connectivity Technologies: Principles and Practice provides a comprehensive and in-depth look at the development of various optical connectivity technologies which are making an impact on the building of data centers.
Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use.
This book is suitable for industrial and maintenance managers that want to implement a new strategy for maintenance in their companies. It should give readers a basic idea on the first steps to implementing a maintenance-oriented platform or information system.
The Data Preparation Journey: Finding Your Way with R introduces the principles of data preparation within in a systematic approach that follows a... Læs mere
The book is designed as a reference text and explores the concepts and techniques of IoT, AI, and blockchain.
The book is a baseline reference for researchers and academicians who are investigating the application of deep learning algorithms in the healthcare sector. It focuses on medical imaging and healthcare data analytics.
This book covers the application of game theory, IoT and metaverse related to biomedical and healthcare applications. The book... Læs mere
This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach.