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Skip to Search Results- 1Abdullah
- 1Ahmad, Zaheen F
- 1Ahn, Sang Jun
- 1Alanjari, Pejman
- 1Allen,Richelle J
- 1Altaf, Mohammed Sadiq
- 21Department of Civil and Environmental Engineering
- 15Department of Computing Science
- 13Department 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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Spring 2024
Retrofitting buildings and optimizing their operation have been at the forefront of global efforts to reduce carbon emissions over the past few decades. Intelligent control of building systems, such as Heating, Ventilation, and Air Conditioning (HVAC), presents two clear benefits: it improves...
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Spring 2024
With the growing demand for online applications such as high-resolution video streaming and cloud gaming, there is an urgent need for high-throughput and low-latency technologies. The Remote Direct Memory Access (RDMA) over Converged Ethernet Version 2 (RoCEv2) network protocol is increasingly...
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Fall 2024
It has been shown that pretrained language models exhibit biases and social stereotypes. Prior work on debiasing these language models has largely focussed on modifying embedding spaces in pretraining, which is not scalable for large models. Since pretrained models are typically fine-tuned on...
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Fall 2024
This thesis studies a virtual power plant (VPP) that trades the bidirectional charging flexibility of privately owned plug-in electric vehicles (EVs) in a real-time electricity market to maximize its profit. The main contribution of this thesis is the development of scalable and efficient...
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Fall 2024
Machine learning (ML) and the Internet of Things (IoT) have many promises but also raise many concerns and challenges. In particular, when several users collaborate in training an ML model, preserving the privacy of their data is quite challenging. Federated learning (FL), as an ML technique...
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New Fast and Accurate Steady-State Analysis Approach for Design, Optimization, and Simulation of General Power Converter Systems
DownloadSpring 2023
Accurate steady-state analysis of power converters are essential for converter design and optimization. Steady-state responses are also useful for component selection, loss calculation, identification of soft switching operation, and small signal modeling of power converters. Normally, a...
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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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Fall 2023
The downturn of the world economy and the increasingly severe competition among mining giants puts forward higher requirements for open-pit mining, which is the dominant method for humans to obtain minerals from the earth. Among these so-called higher requirements, reducing mining costs as much...
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Spring 2023
Body posture predicting methods have many applications, including product design, ergonomic workplace design, human body simulation, virtual reality and animation industry. Initiated in robotics, Inverse Kinematic (IK) method has been widely applied to proactive human body posture estimation. The...