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Now showing items 1851-1860 of 4030
Deep Reactive-Ion Etching Process Development and Mask Selection
Deep reactive-ion etching is an important process in the fabrication of microelectromechanical system devices, through-silicon vias, and dynamic random-access memory capacitors, among other devices and components. High-quality ...
Hand Detection and Body Language Recognition Using YOLO
Neural Networks play an important role in real-time object detection. Several types of networks are being developed in order to perform such detections at a faster pace. One such neural network that can prove useful is the ...
Thief of Flesh
This project explores the effects of drug abuse and the role of culture and relationships on an individual’s upbringing. Drug abuse is becoming an increasing problem in the world, which is not only bad for individuals, who ...
daydreaMeD: A Creative Representation of Maladaptive Daydreaming
Each day, we might find our attention drifting to somewhere else: the things we need to do, the things we shouldn’t have done, or a fantasy that popped into our heads. For most people, mind wandering happens in fleeting ...
Latinx Political Engagement and the Effects of Executive Level Action
This project will extend upon previous research stating that policies and governmental action cause the Latinx population to mobilize politically in the United States. It builds off of preestablished theories that mobilization ...
Static Body Expression Recognition with Openpose
This thesis gives a reliable machine model that recognizes the action of "look down at phone" and distinguishes it from other similar actions in a given consecutive video. It first reproduces facial recognition research ...
Memory's Folly: Narrative Trauma in the Aftermath of the Vietnam War
This project explores the ways that narrative trauma was represented in fiction after the Vietnam War. Trauma is not only felt in the survivors of the War but is also inherited by the generations that follow. This inherited ...
Machine Learning: Hardware Optimized for Machine Learning Computations Using Mixed-signal Inputs and Reconfigurable Parameters
The aim of this project is to develop customizable hardware that can perform Machine Learning tasks. Machine Learning is the science of leveraging advance statistics and data mining to "teach" computers how to recognize ...
Effectiveness of Ankle Strengthening using Pilates Reformer vs. Balance Board to Improve Balance in Dancers
This study was conducted to analyze the alignment of various collegiate dancers’ ankles in order to strengthen the muscles surrounding the ankle joint and improve balance. The research was conducted using a pre and post-test ...
Unraveling the Demand for New-Age Dairy Alternative Functional Beverages: The Case of Almond Milk Demand in the United States
(2014-12-17)
There are many different types of non-alcoholic beverages available in the United States today compared to a decade ago. Along with the increased number of beverage choices, the functionality and health dimensions of the ...