Computational Sustainability
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- Artikel-Nr.: 10466372
Beschreibung
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.
Eigenschaften
Breite: | 157 |
Gewicht: | 438 g |
Höhe: | 236 |
Länge: | 16 |
Seiten: | 276 |
Sprachen: | Englisch |
Autor: | Jörg Lässig, Katharina Morik, Kristian Kersting |
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