£247.37

Applying AI-Based IoT Systems to Simulation-Based Information Retrieval

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£247 today · was £220 last week · 30-day average £227

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Price History & Forecast

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Last 88 days · 88 data points

Historical
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£256.66 £215.80 £224.71 £233.63 £242.54 £251.46 £260.38 10 June 2026 01 July 2026 23 July 2026 14 August 2026 05 September 2026

Price Distribution

Price distribution over 88 days • 4 price levels

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Current Price
22 days 1 day 1 day · current 64 days 0 16 32 48 64 £220 £223 £247 £257 Days at Price

Price Analysis

Most common price: £257 (64 days, 72.7%)

Price range: £220 - £257

Price levels: 4 different prices over 88 days

Description

Communication based on the internet of things (IoT) generates huge amounts of data from sensors over time, which opens a wide range of applications and areas for researchers. The application of analytics, machine learning, and deep learning techniques over such a large volume of data is a very challenging task. Therefore, it is essential to find patterns, retrieve novel insights, and predict future behavior using this large amount of sensory data. Artificial intelligence (AI) has an important role in facilitating analytics and learning in the IoT devices. Applying AI-Based IoT Systems to Simulation-Based Information Retrieval provides relevant frameworks and the latest empirical research findings in the area. It is ideal for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society and trust at the levels of the global economy, networks and organizations, teams and work groups, information systems, and individuals as actors in the networked environments. Covering topics such as blockchain visualization, computer-aided drug discovery, and health monitoring, this premier reference source is an excellent resource for business leaders and executives, IT managers, security professionals, data scientists, students and faculty of higher education, librarians, hospital administrators, researchers, and academicians.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 May 2023
Listed Since
29 December 2022

Barcode

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