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Skip to Search Results- 76Machine learning
- 19Proteins
- 5Artificial intelligence
- 4Reinforcement learning
- 3Data mining
- 3Game theory
- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Akbari, Ali
- 1Akgun, Burcin
- 1Alinezhad, Haniyeh Seyed
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Energy optimization of a residential building using occupancy prediction via sensor fusion and machine learning algorithms
DownloadFall 2023
Occupancy-based control systems for floor heating can lead to energy saving in a residential building. This study focuses on the energy consumption by space heating system in a half-duplex residential house located in Edmonton, Alberta. In the first part, a sensor fusion model was designed to...
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Extraction of canola proteins and assessment of their applications: cruciferin for encapsulation of bioactives and napin as a chaperone-like molecule
DownloadFall 2016
Canola is a farm-gate crop in Canada. Canola meal after oil extraction is used mostly as animal feed with limited value-added applications. Canola proteins are known to have great potential for use in food and non-food applications due to their nutritional, biological and functional properties....
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Spring 2018
Intrinsically disordered regions (IDRs) in proteins lack stable three dimensional structure under physiological conditions. IDRs are prevalent in nature, functionally important, and difficult to characterize experimentally due to their unstructuredness. As a result, many computational methods...
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Spring 2014
Adipose tissue plays an important role in the energetic balance, but it is also an important aspect of meat quality and animal productivity. However, the understanding on how fat metabolism is regulated in beef cattle is not clear. This research aimed at exploring how bovine adipose tissue is...
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Fall 2010
Non-Player Character (NPC) behaviors in today’s computer games are mostly generated from manually written scripts. The high cost of manually creating complex behaviors for each NPC to exhibit intelligence in response to every situation in the game results in NPCs with repetitive and artificial...
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Fall 2023
Self-play is a technique for machine learning in multi-agent systems where a learning algorithm learns by interacting with copies of itself. Self-play is useful for generating large quantities of data for learning, but has the drawback that agents the learner will face post-training may have...
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Fall 2017
Cognates are words in related languages that have originated from the same word in an ancestor language, such as the English/German word pair father/Vater. Cognate information is critical in the field of historical linguistics, where it is used to determine the relationships between languages and...
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Fall 2021
Salah Mohammed Awad AL-Heejawi
The histopathological examination of tissue biopsies is used as the gold standard by pathologists for diagnosing skin cancers, such as melanoma. Traditionally, the histopathological slides are examined by clinicians under a microscope. With recent advances in digital imaging and scanning, a glass...
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Impact Evaluation of Climate Smart Agriculture Program Investments in Food Security Using Machine Learning Estimators
DownloadSpring 2023
Smallholder farmers in rural regions of developing countries are often vulnerable to climate events. Climate Smart Agriculture (CSA) seeks to sustain or improve agricultural yields while mitigating climate change. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)...