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Skip to Search Results- 77Graduate and Postdoctoral Studies (GPS), Faculty of
- 77Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Computing Science, Department of
- 4Mechanical Engineering, Department of
- 4Mechanical Engineering, Department of/Journal Articles (Mechanical Engineering)
- 3Computing Science, Department of/Research Data and Materials (Computing Science)
- 77Thesis
- 7Article (Published)
- 3Dataset
- 3Report
- 2Article (Draft / Submitted)
- 1Conference/Workshop Poster
- 21Department of Civil and Environmental Engineering
- 13Department of Computing Science
- 12Department of Electrical and Computer Engineering
- 11Department of Chemical and Materials Engineering
- 5Department of Mechanical Engineering
- 2Department of Agricultural, Food, and Nutritional Science
- 3Huang, Biao (Chemical and Materials Engineering)
- 2AbouRizk, Simaan (Department of Civil and Environmental Engineering)
- 2Bouferguene, Ahmed (Campus Saint-Jean)
- 2Dinavahi, Venkata (Electrical and Computer Engineering)
- 2Liang, Hao (Electrical and Computer Engineering)
- 1Adamowicz, Wiktor (Resource Economics and Environmental Sociology)
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Optimizing Electric Vehicle Charging Networks: Adaptive Placement and Energy Management in Uncertain Environments
DownloadSpring 2024
With the emerging proliferation of electric vehicles (EVs) in traffic, the optimal deployment of EV charging stations has become a critical issue due to the foreseeable significant impact on conventional power distribution systems and traffic networks. With the complex coupling between...
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2020-12-01
Pai, Roshan S., Doraswami, Uttam R., Belino, Nuno, Paul, Rosham
The textile industry contributes significantly to the growth of the global economy, but it is also one of the most polluting industries.1 Bleaching of cotton is an integral part of the textile wet processing industry. It is carried out to remove naturally occurring coloring matters from cotton to...
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Spring 2022
During the past 10 years, we have witnessed the proliferation of cloud computing services and their adoption in the industry. This rapid growth has been mainly due to economies of scale, improving resource utilization, infinite computing resources on demand, and pay per use cost model. However,...
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Fall 2013
Laydown yard management is comprised of planning and controlling of all necessary efforts to ensure that the correct quantity of materials are available where and when they are needed on construction storage yards. Applying the right material management methodology in construction projects would...
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Production Optimization and Sensory Evaluation of Egg White Protein Hydrolysate with Angiotensin I Converting Enzyme Inhibitory Activity
DownloadFall 2016
Egg proteins are a well-known rich source of bioactive peptides with inhibitory activity against angiotensin I converting enzyme (ACE), a key enzyme responsible for the regulation of blood pressure. Peptides with ACE inhibitory activity could have potential application for prevention of high...
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Profiling true microbial community of newborn beef calves using low microbial biomass samples
DownloadFall 2023
Amplicon sequencing (16S rRNA gene sequencing) is widely used to profile host-associated microbial communities. Rapid advancements in sequencing and user-friendly bioinformatics platforms have improved the knowledge of microbial community composition. However, profiling samples containing low...
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QUB Express Multiple Optimization Plugin
2014-04-01
This plugin is designed to integrated into QUB-Express and enable data configuration and bulk optimization. Also included is a patch that allows QUB-Express to record state occupancy data and a set of scripts to calculate max deviation and generate LaTeX formatted tables that guide the...
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Fall 2022
The objective of signal decomposition is to extract and separate distinct signal components from a composite signal. Signal decomposition has been studied in many applications, such as image, video, audio, and speech signals. This thesis focuses on the category of signal decomposition on...
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Spring 2020
Reinforcement learning (RL) has received wide attention in various fields lately. Model-free RL brings data-driven solutions that learn the control strategy directly from interaction with process data without the need for a process model. This is especially beneficial in the case of nonlinear...
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Results of optimization parameter experiments
2014-04-01
A set of experiments performed in QUB-Express to compare different optimizer configurations.