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Skip to Search Results- 2Arefi, Afshin
- 2Bagheri, Pooya
- 2Banerjee, Bitan
- 2Barczyk, Martin
- 2Barth, Stuart E
- 2Behnam Dehkordi, Mohammad
- 22Machine Learning
- 16Glancing angle deposition
- 15Wireless communication systems.
- 13Deep Learning
- 13Nanotechnology
- 13Optimization
- 21Musilek, Petr (Electrical and Computer Engineering)
- 21Reformat, Marek (Electrical and Computer Engineering)
- 21Tellambura, Chintha (Electrical and Computer Engineering)
- 20Chen, Tongwen (Electrical and Computer Engineering)
- 20Li, Yunwei (Electrical and Computer Engineering)
- 19Ardakani, Masoud (Electrical and Computer Engineering)
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Spring 2017
As e-market is becoming more popular, setting a proper price to maximize profit is vital for retailers on trading platforms. Most of the online retailers choose traditional pricing methods such as average pricing and markup pricing to set their prices. These traditional methods set prices based...
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Fall 2021
Climate change concerns have raised awareness about the importance of decarbonizing the power sector. In achieving such a goal, energy storage is a critical operation that is currently done using mostly fossil fuels as chemical energy storage. The only viable alternative is battery energy storage...
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Spring 2021
Due to the unprecedentedly high demand of wireless spectrum, one of the central missions in wireless networks is to technically improve the spectrum efficiency. Thus, many techniques have been devised, in which non-orthogonal multiple access (NOMA) is quite promising. In NOMA, the strengthened...
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Fall 2012
Cognitive radio is an emerging spectrum-agile technology to alleviate the upcoming spectrum shortage problem. In a cognitive radio network, unlicensed users (secondary users) can access the licensed spectrum if there is no transmission/reception activity of licensed users (primary users) in an...
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Fall 2018
This thesis focuses on state estimation problems of cyber-physical systems to overcome the challenges brought by their features, e.g, resource limitations in sensor networks and model uncertainties due to the changes in interconnections of components. To achieve smart allocation of the scarce...
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Optimal Traffic Scheduling for Infrastructure-to-Infrastructure Communications in the Internet of Vehicles
DownloadFall 2019
There have been intensive research efforts on optimizing performance in wireless networks by adjusting certain parameters in the system. Most of the works are for decision making at individual moments, which are independent of each other. However, in many cases, a sequence of decisions need to be...
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Optimization and Energy Management of Battery Energy Storage Systems in Residential and Industrial Applications
DownloadFall 2019
Battery Energy Storage System (BESS) provides a fast and high power capability, making them an ideal solution for residential and industrial application. However, given today’s high investment costs of BESS, a well-matched design and adequate sizing of the storage systems are prerequisites to...
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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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Fall 2020
The increasingly heavy standardization of distribution overhead powerline installations presents an opportunity for the automated design of distribution overhead powerline pole structures, attachments and conductor spans. A successful design automation algorithm must be capable of generating...
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Optimization of Electrical Interface for Vibration-based Energy Harvesters for Low Power Applications
DownloadSpring 2020
Badr, Ahmed Osman Abdel-Latif Ahmed
Piezoelectric Energy Harvesters (PEHs) can be used to supply power to small electronic devices as the Wireless Sensor Nodes (WSNs). However, the harvested energy from the harvesters are usually little and needs to be stored into storage elements. A high-efficiency electrical interface with...