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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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Fall 2022
Since 2013, Deep Neural Networks (DNNs) have caught up to a human-level performance at various benchmarks. Meanwhile, it is essential to ensure its safety and reliability. Recently an avenue of study questions the robustness of deep learning models and shows that adversarial samples with...
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Fall 2023
Flexible electronics in recent years have gained attention due to their application in the medical and biosensing industries. The biosensor market in particular has been expanding significantly, with its market value expected to double by 2028 [1]. Electronic sensors have been widely used as...
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Fall 2013
In underlay Cognitive Radio (CR) systems, secondary users may transmit while primary transmissions take place. However, the interference aggregates on the primary system, and performance degradation will occur. Thus, quantifying and modeling of the aggregate interference is important in...
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Air-core microcavities and metal-dielectric filters - building blocks for optofluidic microsystems
DownloadFall 2012
This thesis describes a study on two optical devices intended to be building blocks for the creation of integrated optical/microfluidic lab-on-a-chip systems. First, arrays of curved-mirror dome-shaped microcavities were fabricated by buckling self-assembly of a-Si/SiO2 multilayers. This novel...
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Spring 2011
Receiving false and nuisance alarms is a well known problem in industrial alarm systems. The main cause of this problem is poor alarm design which is the result of huge number of configured alarms and lack of automatic and analytical design methods. This study targets deriving analytical methods...
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Fall 2015
In the process industry, process variables are continuously monitored to ensure safety, reliability and efficiency of plant operations. Due to the advancement of the modern communication and computer technology, it is now possible to incorporate alarms to every process variable at little or no...
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Algorithms of Advanced Fuzzy Clustering: Development, Analysis, and Application to Rule-Based Modeling
DownloadFall 2019
Fuzzy clustering is one of the most significant techniques used to explore the structure of data. With the development of information technology and new requirements arising from data analysis, new challenges have been raised for fuzzy clustering algorithms due to the emerging characteristics of...
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Fall 2015
Optical-resolution photoacoustic microscopy (OR-PAM) is a novel imaging technology providing high micron-scale lateral spatial resolution to visualize superficial structures in vivo with optical-absorption contrast. The term “optical resolution” is used since the lateral resolution of the system...
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Spring 2019
Nanocomposite materials are multiphase materials where at least one of the dimensions of one of the materials is less than 100 nm in size. The primary goal of nanocomposite materials development is to create material properties that are not available in traditional materials. AlMo nanocomposites...