£175.54

Deep Learning Applications for Cyber-Physical Systems

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Price History & Forecast

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Last 319 days • 319 data points (No recent data available)

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£187.67 £163.71 £168.94 £174.17 £179.39 £184.62 £189.85 01 March 2025 19 May 2025 07 August 2025 25 October 2025 13 January 2026

Price Distribution

Price distribution over 319 days • 8 price levels

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Current Price
85 days 10 days 46 days 70 days 2 days · current 90 days 5 days 11 days 0 23 45 68 90 £166 £168 £170 £172 £176 £179 £183 £188 Days at Price

Price Analysis

Most common price: £179 (90 days, 28.2%)

Price range: £166 - £188

Price levels: 8 different prices over 319 days

Description

Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
17 December 2021
Listed Since
02 July 2021

Barcode

No barcode data available

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