£120.00

Springer - Sustainable IoT and Machine Learning Techniques

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Description

Explore the intersection of technology and environmental science with this specialized volume from Springer. This book covers sustainable IoT and data analytics enabled machine learning techniques and their various applications within the fields of environmental sciences and innovative business technology. As industries look toward more efficient ways to manage resources, understanding the role of machine learning and the Internet of Things becomes a necessity. This text provides a deep look into how these technologies can be applied to solve complex problems in modern business and environmental management. It is designed for readers interested in the evolving landscape of computing, artificial intelligence, and data-driven decision making. Whether you are researching new methods for environmental protection or looking for ways to integrate smart technology into business models, this publication offers a focused look at these emerging technical disciplines.

Key Features

Covers advanced machine learning techniques specifically applied to sustainable development and environmental science goals.

Examines the integration of IoT and data analytics to drive innovation in modern business technology sectors.

Part of the Contributions to Environmental Sciences and Innovative Business Technology series by Springer.

Provides technical insights into how data-driven methods can support environmental monitoring and management.

Addresses the practical application of artificial intelligence within the context of smart technology and connectivity.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 September 2024
Listed Since
14 June 2024

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