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Skip to Search Results- 76Machine learning
- 11Prognosis
- 5Artificial intelligence
- 4Reinforcement learning
- 3Data mining
- 3Game theory
- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Alinezhad, Haniyeh Seyed
- 1Allen, Felicity R
- 1Araya, Ruben
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Fall 2009
The analysis of wide-angle cellular light scattering patterns is a challenging problem. Small changes to the organization, orientation, shape, and optical properties of scatterers and scattering populations can significantly alter their complex two-dimensional scattering signatures. Because of...
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Computational support systems for prediction and characterization of protein crystallization outcomes
DownloadFall 2013
Analysis of protein structures may reveal their function, regulation and interactions. Almost 90% of the known protein structures were solved using X-ray crystallography; however, many more structures remain unsolved. Protein Structure Initiative (PSI) project was created to speed up structure...
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Developing and Evaluating Algorithms for Fixing Omission and Commission Errors in Structured Data
DownloadFall 2020
The use of machine learning is rapidly rising to deliver a variety of benefits in various domains. However, developing predictive systems often faces many challenges that can drastically delay model deployment. For instance, obtaining labeled training data is one of the most expensive bottlenecks...
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Development and Applications of Mechanics- and Data-based Capacity Models for Intact/Corroded Prestressed Concrete Bridge Girders
DownloadFall 2022
Prestressed concrete (PC) highway bridges represent an integral part of the transportation network and contribute significantly to socio-economic development. However, highway bridges are susceptible to Deterioration and thus exhibit structural deficiency after years of service, especially in the...
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Development and Validation of an Automated Essay Scoring Framework by Integrating Deep Features of English Language
DownloadFall 2016
Automated scoring methods have become an important topic for the assessments of 21st century skills. Recent development in computational linguistics and natural language processing has given rise to more rational based methods for the extraction and modeling of language features. The language...
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Effect of Purge Gas Flow Rate and Oxygen Impurity on Heel build-up and Prediction of Heel build-up Using Machine Learning
DownloadFall 2021
Heel buildup, i.e., the accumulation of non-desorbed/non-desorbable adsorbates and their by-products on an adsorbent, during cyclic adsorption/regeneration of volatile organic compounds (VOCs) onto activated carbon decreases its adsorption capacity and lifetime. In this this study, the effect of...
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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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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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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 2013
Breast cancer is the most common cancer among women in the developed world. The disease results from the combined effects of genetic, environmental, reproductive and lifestyle risk factors. Germline DNA variations identified thus far by linkage and genome-wide association studies (GWASs) account...