000 | 03375nam a22005655i 4500 | ||
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001 | 978-3-319-31858-5 | ||
003 | DE-He213 | ||
005 | 20200421111848.0 | ||
007 | cr nn 008mamaa | ||
008 | 160420s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319318585 _9978-3-319-31858-5 |
||
024 | 7 |
_a10.1007/978-3-319-31858-5 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aComputational Sustainability _h[electronic resource] / _cedited by J�org L�assig, Kristian Kersting, Katharina Morik. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aVI, 276 p. 98 illus., 75 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v645 |
|
505 | 0 | _aSustainable 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. | |
520 | _aThe book at hand gives an overview of the state of the art research in Computational Sustainability as well as case studies of different application scenarios. This covers topics such as renewable energy supply, energy storage and e-mobility, efficiency in data centers and networks, sustainable food and water supply, sustainable health, industrial production and quality, etc. The book describes computational methods and possible application scenarios. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aEnergy efficiency. | |
650 | 0 | _aManagement. | |
650 | 0 | _aIndustrial management. | |
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aInformation Systems Applications (incl. Internet). |
650 | 2 | 4 | _aEnergy Efficiency (incl. Buildings). |
650 | 2 | 4 | _aSoftware Engineering. |
650 | 2 | 4 | _aInnovation/Technology Management. |
700 | 1 |
_aL�assig, J�org. _eeditor. |
|
700 | 1 |
_aKersting, Kristian. _eeditor. |
|
700 | 1 |
_aMorik, Katharina. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319318561 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v645 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-31858-5 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c55948 _d55948 |