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Skip to Search Results- 2Arefi, Afshin
- 2Bagheri, Pooya
- 2Banerjee, Bitan
- 2Barczyk, Martin
- 2Barth, Stuart E
- 2Behnam Dehkordi, Mohammad
- 19Machine Learning
- 16Glancing angle deposition
- 15Wireless communication systems.
- 13Nanotechnology
- 12FPGA
- 12MIMO
- 20Musilek, Petr (Electrical and Computer Engineering)
- 20Tellambura, Chintha (Electrical and Computer Engineering)
- 19Ardakani, Masoud (Electrical and Computer Engineering)
- 19Chen, Tongwen (Electrical and Computer Engineering)
- 19Li, Yunwei (Electrical and Computer Engineering)
- 19Reformat, Marek (Electrical and Computer Engineering)
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Fall 2021
Weather-related power outages in the distribution grid have a significant impact on the grid reliability - they impose a high cost on power utilities and considerable inconvenience to customers. Improvements in monitoring and data collection practices, as well as advanced data processing methods,...
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Spring 2021
Knowledge graphs become a de facto standard for representing data in situations where relations between individual pieces of information are important. These semantically rich data structures provide opportunities to develop methods and algorithms for new ways of analyzing and utilizing data. In...
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Knowledge-based Recommendation Systems with Lexicographical Approach to Multi-criteria Decision Making
DownloadFall 2010
Users find information on the web via evaluating alternatives based on a set of preferences, and selecting the most suitable ones. However, not all of these preferences are equally important; some of them are more significant than the others. If a given alternative does not satisfy high priority...
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Lab-on-a-Chip Designs for Airborne Spore Detection: Towards the Forecasting of Sclerotinia Stem Rot of Canola
DownloadFall 2022
Sclerotinia stem rot (SSR), caused by the necrotrophic fungal pathogen Sclerotinia sclerotiorum, is one of the most devastating diseases affecting crops. More than 400 plant species around the globe are affected by this fungus. In canola, one of Canada’s most important crops, yield losses due to...
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Large-scale Characterization Of Intrinsic Disorder And High-throughput Prediction Of RNA, DNA and Protein Binding Mediated By Intrinsic Disorder
DownloadFall 2014
Intrinsically disordered proteins lack stable 3D structures in vivo, are functionally important, and are very common in nature. In the past three decades, many studies focused on prediction of intrinsic disorder from protein sequence, estimation of its abundance, and analyses of its functional...
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Spring 2024
We introduce the background of the natural language processing field, outlining the benefits and drawbacks of rule-based versus statistical methods. We present knowledge graphs as a way to integrate the explainability of rule-based methods and the power of statistical methods, large language...
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Large-Scale Multi-Frequency Capacitive Micromachined Ultrasonic Transducer (CMUT) Arrays for Ultrasound Medical Imaging and Therapeutic Applications
DownloadSpring 2020
Ultrasonic transducers capable of operating over multiple frequency bands could have several interesting medical applications including multi-resolution multi-depth imaging for point-of-care ultrasound, imaging-therapy, super-harmonic contrast agent imaging, super-resolution imaging, image-guided...
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Fall 2016
Power electronic devices have been utilized in myriad applications in power system at all voltage and power levels. Accurate and efficient simulation is required for precise control and performance analysis of power electronic converters. Nonlinear physics-based device-level models of power...
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Large-Scale Real-Time Electromagnetic Transient Simulation of Power Systems Using Hardware Emulation on FPGAs
DownloadSpring 2012
This thesis describes how FPGAs can be used for realizing real-time electromagnetic transient simulation of large-scale power systems using digital hardware emulation. Detailed parallel hardware modules for various power system components are described, including linear lumped RLCG elements,...