Computational Sustainability de Jörg Lässig

Computational Sustainability: Studies in Computational Intelligence, cartea 645

Jörg Lässig

Kristian Kersting

Katharina Morik

The book athand gives an overview of the state of the art research in ComputationalSustainability as well as case studies of different application scenarios. Thiscovers topics such as renewable energy supply, energy storage and e-mobility, efficiencyin data centers and networks, sustainable food and water supply, sustainablehealth, industrial production and quality, etc. The book describescomputational methods and possible application scenarios.

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	Preț	Express
Paperback (1)	674^.59 lei 6-8 săpt.
Springer International Publishing – 9 sep 2018	674^.59 lei 6-8 săpt.
Hardback (1)	954^.82 lei 6-8 săpt.
Springer – 29 apr 2016	954^.82 lei 6-8 săpt.

Preț

Express

Paperback (1)

674^.59 lei 6-8 săpt.

Springer International Publishing – 9 sep 2018

674^.59 lei 6-8 săpt.

Hardback (1)

954^.82 lei 6-8 săpt.

Springer – 29 apr 2016

954^.82 lei 6-8 săpt.

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Specificații

ISBN-13: 9783319811383
ISBN-10: 331981138X
Pagini: 276
Ilustrații: VI, 276 p. 98 illus., 75 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Sustainable Development and Computing - an Introduction.- Wind Power Prediction with Machine Learning.- Statistical Learning for Short-Term Photovoltaic Power Predictions.- Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks.- A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction.- Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants.- Global Monitoring of Inland Water Dynamics: State-of-the-art, Challenges, and Opportunities.- Installing Electric Vehicle Charging Stations City-Scale: How Many and Where?.- Computationally Efficient Design Optimization of Compact Microwave and Antenna Structures.- Sustainable Industrial Processes by Embedded Real-Time Quality Prediction.- Relational Learning for Sustainable Health.- ARM Cluster for Performant and Energy-efficient Storage.

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