Browsing Faculty of Graduate Studies Online Theses by Title
Now showing items 1391-1410 of 7606
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Decreasing the Stigma of Mental Health Facilities: Creating a Community Treatment Center in East Liberty, Pittsburgh
(2019-08-09)This thesis demonstrates the positive impact that the built environment can have to decrease mental health stigma by creating specific design tools to blend community space and mental health treatment facilities through ... -
A DEEP IMAGE CLASSIFICATION APPROACH FOR FISHING ACTIVITY DETECTION FROM AIS DATA
(2019-12-12)Maritime transport and vessel activities on the ocean have a significant impact on marine life, which consequently affects human life. Therefore analyzing and monitoring the fishing activities using the vast amount of ... -
Deep Language Models for Text Representation in Document Clustering and Ranking
(2023-12-13)Deep language models have become increasingly prominent in the field of machine learning. This thesis explores the potential of deep language models for text representation and their role in specific text mining applications ... -
Deep Learning Applications to Offline Arabic Handwriting Words Recognition Using Convolutional Neural Network
(2023-03-08)Automatic handwriting recognition is the process of converting online and offline letters or words as a graphical form into its text format. Automatic Arabic Handwriting words recognition using deep learning neural networks ... -
DEEP LEARNING APPROACHES TO CLASSIFY AND TRACK AT-RISK FISH SPECIES
(2021-08-31)In marine ecosystems, fish play a crucial role. They are linked to other organisms through the food web and other processes. Because they provide food, humans have had an especially close relationship with them for decades. ... -
A deep learning computer vision system for image based cytometry
(2017-02-02)A Complete Blood Count (CBC) is one of the most commonly deployed tests for checking the overall medical condition of a human body. It results in a summary of blood cell related measures allowing for a quick preliminary ... -
Deep Learning-Based Stacking Neural Network and Generative Adversarial Networks for Human Activity Recognition Based on Ambient Sensors
(2021-01-28)Smart home for healthcare services has acquired more attention since the increasing development of the Internet of Things and the population ageing over the world. Human activity recognition (HAR) is one of the concerns ... -
Deep Learning? Investigating Student’s Perceptions of Educational and Occupational Skills for the Fourth Industrial Revolution
(2020-08-20)The introduction of Artificial Intelligence (AI) is a key factor driving the Fourth Industrial Revolution. Like industrial revolutions of the past, it will have a profound effect on jobs, the kinds of skills needed to fill ... -
Deep Neural Network (DNN) Design: The Utilization of Approximate Computing and Practical Considerations for Accuracy Evaluation
(2021-08-04)Approximate computing is emerging as a viable way to achieve significant performance enhancement in terms of power, speed, and area for system on chip (SoC) designs. Utilizing approximate computing in the design of deep ... -
Deep Reinforcement Learning Based Admission Control for Throughput Maximization in Mobile Edge Computing
(2021-09-02)With the development of wireless network technologies, Mobile Cloud Computing (MCC) has been proposed as a solution for mobile devices’ high-complexity computation. Technically, with MCC, mobile devices’ high-complexity ... -
A DEEP SEISMIC ANALYSIS OF THE FLEMISH CAP CONTINENTAL MARGIN OFF NEWFOUNDLAND, CANADA
(2013-03-11)The crustal structure of the NE Flemish Cap margin off Newfoundland, Canada has been determined along a 460-km-long wide-angle reflection seismic transect (FLAME Line). The westward section crossing Flemish Cap displays ... -
Deep-sea octocorals: Dating methods, stable isotopic composition, and proxy records of the slopewaters off Nova Scotia.
(Dalhousie University, 2006) -
A Defamiliarized Architecture: [RE]Iterative Readings of a Text
(2019-08-29)This thesis explores a design methodology reflecting Viktor Shklovsky’s concept “defamiliarization”. Defamiliarization is a technique used to make something unfamiliar, or strange, in order to enhance the perceptions of ... -
DEFINING A MULTI-PARAMETER OPTICS-BASED APPROACH FOR ESTIMATING CHLOROPHYLL A CONCENTRATION USING OCEAN GLIDERS
(2016-02-19)A bio-optical method for increasing the accuracy of chlorophyll a estimates from in situ fluorometers in the absence of traditional validation methods was implemented for autonomous gliders operating on the Scotian Shelf. ... -
Defining Biomarkers of Frailty in the Kidney: Implications for Endobiotic and Xenobiotic Metabolism in Mice
(2023-08-08)Frailty describes individuals with increased susceptibility to adverse health outcomes. The frailty index (FI) quantifies frailty by measuring deficit accumulation. This project aimed to characterize the molecular signature ... -
Defining Death: Law, Language, and Systems
(2016-08-31)The definition of death is often referred to as a fiction since brain death was conceived in the mid twentieth century. These observations are generally paired with concern that the fiction depresses the quality of a ... -
Defining the mechanisms of neutrophil transintestinal epithelial migration: Identifying a role for beta2 integrin.
(Dalhousie University, 2007) -
DEFINING THE MECHANISMS THROUGH WHICH ALDH1A3-INDUCED LONG NONCODING RNA NRAD1 REGULATES GENE EXPRESSION IN BREAST CANCER
(2021-08-20)Triple-negative breast cancer (TNBC) is an aggressive subtype with limited treatment options and poor patient prognoses, owing partially to its enrichment in cancer stem cells (CSCs). Therapies targeting CSCs within TNBCs, ...