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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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Probabilistic and Stochastic Computational Models: from Nanoelectronic to Biological Applications
DownloadFall 2012
A finite state machine (FSM) is a classical abstract model for sequential circuits that are at the core of any digital system. Due to fabrication defects and transient faults, the reliable operation of sequential circuits is greatly desired. In this thesis, computational models are initially...
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Fall 2014
Soliman, Samy Soliman Shokry Botros
Wireless cooperative networks have recently attracted the attention of many researchers as well as industry because such networks promise large diversity gains and increased capacity compared to other wireless communication systems. Accurate performance analysis of wireless cooperative systems is...
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Fall 2017
The task of entity resolution, also known as record linkage, is to find out which records refer to the same entity across several datasets and link them together. In real applications, record linkage is widely used in multiple fields, such as business, healthcare, criminal investigation, among...
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Spring 2018
The propagation of alarms which results in multiple alarm annunciations can lead to what are known as alarm floods, where operators are unable to resolve all alarms at the same time. It is highly unlikely for operators to read through an alarm response manual during an alarm flood that requires...
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Spring 2014
The obtained model developed outperforms the existing linear and logistic prediction methods in terms of content prediction error. As the proof of concept, the methodology is applied to an oil sands processing dataset created using an artificial model with such ...
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Spring 2014
Distributed Generation (DG) units are relatively small generation plants directly connected to the distribution networks as alternatives for bulky power plants and to integrate renewable energy sources into the power system. Despite their several advantages, DGs have a serious impact on the...
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Fall 2018
Nowadays, the recent trend of high voltage direct current (HVDC) industry is to employ modular multi-level voltage source converter (MMC-VSC) and to build multi-terminal DC (MTDC) systems. The MMC-VSC technology allows VSCs to achieve a higher power rating and the modularity of VSCs provides more...
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Fall 2020
The availability of the renewable energy sources in remote onshore and offshore locations and the advancements of power electronics have given rise to the use of high voltage direct current (HVDC) transmission for bulk power transmission. HVDC technology is more economical than high voltage...
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Spring 2018
Ultra-intense lasers (I > 10^18 W/cm^2) irradiating solid targets can produce bright, energetic (MeV) beams of protons, with potential applications from fusion energy to tumour treatment. Spatially and spectrally controlling these particle beams remains a challenge, however, and experimental and...