eScholar
eScholar stores, preserves and disseminates digital copies of the research and scholarly output of eScholar faculty, researchers and students. These can include the following items:
- Monographs
- Pre- and post-prints of academic journal articles
- Theses and dissertations
- Reports/working papers and conference proceeding
Materials in eScholar are openly available to the world and discoverable through search engines such as Google Scholar. This high visibility, discoverability, and exposure can lead to increased citation.
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Recently Added
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MAVIDS: an intelligent intrusion detection system for autonomous unmanned aerial vehicles
(2021-07-01)Unmanned Aerial Vehicles (UAVs) face a large threat landscape, being used in numerous industries in hostile environments while relying on wireless communication. As attacks against UAVs increase, an intelligent Intrusion ... -
Laterality effects in sub-clinical neck pain examined in goal-directed upper limb aiming movements
(2020-09-01)Subclinical neck pain (SCNP) is defined as recurrent pain and stiffness in the neck for which individuals have not yet sought treatment. Prior studies have shown that individuals with SCNP have altered cerebellar processing. ... -
Design of broad-band dual-polarized microstrip patch antennas with high port isolation for millimeter-wave 5G applications
(2021-01-01)In this thesis, multiple broadband dual linearly polarized antennas are designed covering the frequency band for the next generation of 5G communications around 28 GHz. Dual polarization antennas are employed to increase ... -
A study of a novel design for efficient hydrolysis reactor for the Cu-Cl thermochemical hydrogen production cycle
(2021-06-01)In this thesis, methods to optimize the Hydrolysis reactor for the Cu-Cl thermochemical Hydrogen production cycle were investigated. A simplified Hydrolysis reactor using simple off-the-shelf components was tested and found ... -
Investigation of KimiaNet's and DenseNet's deep features in lung cancer subtypes
(2020-12-01)Deep neural networks (DNN) have extended applications in the _eld of digital pathology. One of which is to act as feature extractors for content-based image retrieval (CBIR) systems. Therefore, it is necessary to investigate ...
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