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Springer Microbial Data Intelligence and Computational Techniques for Sustainable Computing

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Description

Explore the intersection of microbial science and computational intelligence in this volume 47 of the Microorganisms for Sustainability series published by Springer. This comprehensive academic work examines how data-driven approaches and advanced computational methods can leverage microbial systems to advance sustainable computing practices. Designed for researchers, academics, and professionals in environmental science, microbiology, and computer science, this book provides essential insights into emerging techniques for integrating biological data with intelligent algorithms. Discover how microbial applications contribute to developing more sustainable technological solutions and resource-efficient computing frameworks. Perfect for libraries, research institutions, and specialists seeking to understand the role of microorganisms in addressing computational challenges through sustainable innovation.

Key Features

Volume 47 in the Microorganisms for Sustainability series provides peer-reviewed research from Springer, a leading academic publisher.

Focuses on data intelligence applications that connect microbial research with computational sustainability goals.

Covers advanced computational techniques designed specifically for microorganism-based sustainable computing solutions.

Ideal reference for academics, researchers, and environmental computing professionals studying biological systems and algorithm integration.

Addresses current methodologies for applying microbial data to develop more resource-efficient computing practices.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 April 2025
Listed Since
03 April 2025

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