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Springer Smart Computing Techniques in Industrial IoT - Springer

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£131.37 £125.00 £126.39 £127.78 £129.17 £130.56 £131.95 27 July 2026 13 August 2026 31 August 2026 18 September 2026 06 October 2026
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Description

Smart Computing Techniques in Industrial IoT explores advanced computational methods applied to industrial internet of things environments. This volume, part of Springer's Studies in Computational Intelligence series (volume 1172), examines the integration of intelligent algorithms and machine learning approaches within IoT systems designed for manufacturing and industrial applications. The book addresses how smart computing optimises operational efficiency, predictive maintenance, and real-time decision-making across connected industrial devices and networks. Researchers, engineers, and practitioners working in industrial automation, IoT deployment, and artificial intelligence will find comprehensive coverage of contemporary techniques for processing vast amounts of sensor data and extracting actionable insights from industrial environments. This academic publication combines theoretical foundations with practical applications relevant to modern Industry 4.0 implementations.

Key Features

Springer Studies in Computational Intelligence volume 1172 provides peer-reviewed research on machine learning within industrial IoT systems.

Covers smart computing methodologies specifically designed for manufacturing and industrial internet of things applications.

Addresses real-time data processing and predictive analytics techniques for connected industrial devices.

Includes both theoretical frameworks and practical case studies for implementing intelligent systems in industrial environments.

Suitable for researchers, engineers and professionals developing IoT solutions for manufacturing and automation sectors.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 October 2024
Listed Since
21 July 2024

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