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Skip to Search Results- 1Anagaw, Amsalu Y.
- 1Bahanan, Amgad AA
- 1Bakmohammadi, Parnian
- 1Cheng, Ziyi
- 1Farough Motamed Nasab
- 1Guevara Urdaneta, Jose L
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Fall 2023
In recent years, the growing concern over fossil fuel supply insecurity and its negative environmental impacts has led researchers to focus on advancing renewable energy technologies. Buildings, which account for a significant portion of global energy consumption, offer great potential for...
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Beyond Static Classification: Long-term Fairness for Minority Groups via Performative Prediction and Distributionally Robust Optimization
DownloadFall 2022
In recent years machine learning (ML) models have begun to be deployed at enormous scales, but too often without adequate concern for whether or not an ML model will make fair decisions. Fairness in ML is a burgeoning research area, but work to define formal fairness criteria has some serious...
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Spring 2023
Cooling towers are utilized in a wide variety of industrial applications for dissipating waste heat into the atmosphere. The design of effective, economical, and environment-friendly cooling towers is paramount for industrial applications. In this thesis, a numerical optimization framework for...
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Fall 2022
Kharbanda, Manjot Singh Kuldip Singh
Eggs are an excellent source of nutrients. Egg whites are used in food, cosmetic, and biotechnology industries for a plethora of physiological functions that they demonstrate due to their proteins. Although these proteins look promising, they can be utilised only after they have been...
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Full waveform inversion using simultaneous encoded sources based on first- and second-order optimization methods
DownloadFall 2014
Full waveform inversion (FWI) is an emerging seismic technology engine for estimating subsurface model parameters such as velocity, density and attenuation through local minimization of an objective function. The minimization problem is often performed iteratively via gradient-based method that...
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Spring 2023
Construction labour productivity (CLP) is a key performance indicator for determining the success of construction undertakings, and notably affects the profitability of construction companies. To this effect, the construction industry and researchers have pursued better ways of addressing the CLP...
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Spring 2022
Montemayor Castillo, Eduardo I
Simultaneous Location and Mapping (SLAM) has been a well-pursued research area for computer vision and robotics. Robustness and performance are fields that address the efficiency of SLAM solutions. Hyperparameter Optimization (HPO) promises to find a hyperparameter set that displays the lowest...
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Integer-Programming-Assisted Path-Float-Based Method for Time-Cost Tradeoff Optimization in Project Planning
DownloadFall 2019
In theory, time-cost tradeoff (TCT) optimization is a classic planning problem appealing to construction management; yet, existing analytical methods are found inadequate to make a significant impact in practice. Heuristic methods lack a theoretical basis to ensure arriving at optimum solutions...
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Spring 2020
Machine learning (ML) has shown great potential to create tremendous value and growth to all sectors around the world, enhancing productivity, health, and longevity of humanity. ML differentiates itself from all previous methods through its adaptive and self-learning capabilities. In recent...
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Spring 2023
Finding optimal steam injection policies in the context of Steam Assisted Gravity Drainage (SAGD) represents a major challenge due to the complex dynamics of the process. This complexity is reflected by: i) several concurrent sub-processes, e.g., heat transfer, counter-current flow, imbibition,...