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| Creator | Title | Description | Subject | Date | ||
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Rahman, Aowabin | Deep recurrent neural networks for building energy prediction | This poster illustrates the development of a deep recurrent neural network (RNN) model using long-short-term memory (LSTM) cells to predict energy consumption in buildings at one-hour time resolution over medium-to-long term time horizons ( greater than or equal to 1 week). | Machine learning; Energy; Building energy modeling; Deep learning; Recurrent neural networks; Prediction | 2017-01-13 |
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Johnson, Robert R. | Patterns of patterns | Purpose of this Poster is to demonstrate that it takes the patterns of values in all the many dimensions to place each patient in the final patterns shown in each of the 5 charts. The final patterns determine the ability of each technology to identify or distinguish patients in each class. It is p... | Gene patterns; Colon cancer; Trapeze Interactive poster | 2010-03-15 |
| 3 |
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Slind, Konrad Lee | Emerging trends proceedings of the 17th International Conference on Theorem Proving in Higher Order Logics: TPHOLs 2004 | This volume constitutes the proceedings of the Emerging Trends track of the 17th International Conference on Theorem Proving in Higher Order Logics (TPHOLs 2004) held September 14-17, 2004 in Park City, Utah, USA. The TPHOLs conference covers all aspects of theorem proving in higher order logics ... | Theorem proving; Higher order logics | 2004-08 |
| 4 |
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Didier, Richard C. | Linking microclimate and energy use with a low cost wall mounted measurement system | Urban microclimate plays a critical role in overall urban energy demand and efficiency. At the building scale, energy use and internal conditions are directly impacted by local microclimate. The direct link between building energy use and local microclimate is through building envelope heat fluxes. ... | Microclimate; Energy; Temperature; Humidity; Arduino; EnergyPlus | 2016-06 |
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