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ORCIDComputational Sustainability 2016
- Jörg Lässig, Kristian Kersting, Katharina Morik:
Computational Sustainability. Studies in Computational Intelligence 645, Springer 2016, ISBN 978-3-319-31856-1 - Jörg Lässig:
Sustainable Development and Computing - An Introduction. 1-12 - Nils André Treiber, Justin Heinermann, Oliver Kramer:
Wind Power Prediction with Machine Learning. 13-29 - Björn Wolff, Elke Lorenz, Oliver Kramer:
Statistical Learning for Short-Term Photovoltaic Power Predictions. 31-45 - Baris Aksanli
, Jagannathan Venkatesh, Inder Monga, Tajana Simunic Rosing:
Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks. 47-74 - Jörg Wicker, Kathrin Fenner, Stefan Kramer:
A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction. 75-97 - Kristian Kersting, Christian Bauckhage, Mirwaes Wahabzada, Anne-Katrin Mahlein, Ulrike Steiner, Erich-Christian Oerke, Christoph Römer, Lutz Plümer:
Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants. 99-120 - Anuj Karpatne, Ankush Khandelwal, Xi Chen, Varun Mithal, James H. Faghmous, Vipin Kumar:
Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities. 121-147 - Marjan Momtazpour, Mohammad Chehreghani Bozchalui, Naren Ramakrishnan, Ratnesh Sharma:
Installing Electric Vehicle Charging Stations City-Scale: How Many and Where? 149-170 - Slawomir Koziel, Piotr Kurgan, Adrian Bekasiewicz:
Computationally Efficient Design Optimization of Compact Microwave and Antenna Structures. 171-199 - Marco Stolpe, Hendrik Blom, Katharina Morik:
Sustainable Industrial Processes by Embedded Real-Time Quality Prediction. 201-243 - Sriraam Natarajan, Peggy L. Peissig, David Page:
Relational Learning for Sustainable Health. 245-264 - Diana Gudu, Marcus Hardt:
ARM Cluster for Performant and Energy-Efficient Storage. 265-276
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