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| Creator | Title | Description | Subject | Date | ||
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Gale, Bruce K. | New approaches to bridge nerve gaps: Development of a novel drug-delivering nerve conduit | Contemporary bridging techniques for repairing nerve gaps caused by trauma require autologous nerve grafts, which are difficult to harvest and handle and result in significant donor site deficit. Several nerve conduits with axon growth-enhancing potential have been proposed, developed and tested ove... | 2012-01-01 | |
| 2 |
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Gale, Bruce K. | Microfluidic devices for rapid and sensitive identification of organisms | Microfluidic devices for rapid and highly sensitive detection of living organisms were developed for two applications. First, a zebrafish embryo genotyping system was developed and shown to be able to genotype embryos in the first 48 hours of the embryos life without damaging the embryos in any a... | 2014-01-01 | |
| 3 |
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Rahman, Aowabin | Predicting heating demand and sizing a stratified thermal storage tank using deep learning algorithms | This paper evaluates the performance of deep recurrent neural networks in predicting heating demand for a commercial building over a medium-to-long term time horizon (≥ 1 week), and proposes a modeling framework to demonstrate how these longer-term predictions can be used to aid design of a strati... | Building Energy Modeling; Machine Learning; Recurrent Neural Networks; Deep Learning; Heating Load Prediction; Thermal Energy Storage | 2018 |
| 4 |
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Brown, Don R. | The design and implementation of partnet | PartNet is a federated database for providing interactive online access to mechanical parts catalogs. The data contained in the vendor's product database is exported to the federated database using a networkbased distributed database protocol. A Single coherent view of these vendor databases is pro... | 1995 | |
| 5 |
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Colter, Jourdan; Wirostko, Barbara; Coats, Brittany | Finite element design optimization of hyaluronic acid-based hydrogel drug delivery device for improved retention | Drug-loaded hydrogel devices are emerging as an effective means of localized and sustained drug delivery for the treatment of corneal conditions and injuries. One such device uses a novel, thiolated crosslinked carboxymethylated, hyaluronic acid-based hydrogel (CMHA-S) film to deliver drug to the oc... | Ocular drug delivery; CMHA-S; antibiotics; ophthalmology; computation | 2018 |
| 6 |
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Harman, Todd B. | Multiscale modeling of accidental explosions and detonations | Accidental explosions are exceptionally dangerous and costly, both in lives and money. Regarding worldwide conflict with small arms and light weapons, the Small Arms Survey has recorded more than 297 accidental explosions in munitions depots across the world that have resulted in thousands of deaths... | 2013-01-01 | |
| 7 |
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Rahman, Aowabin | Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks | This paper presents a recurrent neural network model to make medium-to-long term predictions, i.e. time horizon of ≥ 1 week, of electricity consumption profiles in commercial and residential buildings at one-hour resolution. Residential and commercial buildings are responsible for a significant fr... | Building Energy Modeling; Machine learning; Recurrent neural networks; Deep learning; Electric load prediction | 2017 |
| 8 |
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Rahman, Aowabin | Predicting fuel consumption for commercial building with machine learning algorithms | This paper presents a modeling framework that uses machine learning algorithms to make longterm, i.e. one year-ahead predictions, of fuel consumption in multiple types of commercial prototype buildings at one-hour resolutions. Weather and schedule variables were used as model inputs, and the hourly ... | Building energy modeling; Machine learning; Prediction; Heating load; Data-driven modeling | 2017-08 |
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