Browsing Faculty of Graduate Studies Online Theses by Title
Now showing items 5500-5519 of 7611
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Predicting Catch-Per-Unit-Effort Using Semantic Trajectories and Machine Learning
(2020-04-20)This work presents a framework for the prediction of catch-per-unit-effort (CPUE)—an important index in the assessment of fisheries resource exploitation—using three data sources from the North Adriatic region: fishing ... -
PREDICTING CLINICAL SYMPTOMS OF DEPRESSION FROM ACOUSTIC SPEECH SIGNALS USING NEURAL NETWORKS
(2021-12-10)Approximately 280 million people suffer from depression, a disabling illness. Early diagnosis and effective monitoring are known to reduce adverse effects. Still, they require extensive clinical resources, thus motivating ... -
Predicting Frontal Lobe H-MRS Metabolite Levels Using Obesity and Metabolic Markers in Individuals with Bipolar Disorder: A Meta-Analysis and Cross-Sectional Study
(2022-07-29)Obesity and related metabolic disorders, such as metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM) impact the brain, particularly in the frontal lobe. Individuals with severe and persistent mental illness (SPMI), ... -
Predicting Hypertension by Twenty Years Postpartum Using Perinatal Data
(2020-05-07)Study Design For a population-based cohort of 90,316 women with deliveries recorded in the Nova Scotia Atlee Perinatal Database between 1988 and 2009, pregnancy-related data were linked with provincial administrative ... -
Predicting Political Donations Using Data Driven Lifestyle Profiles Generated from Character N-Gram Analysis of Heterogeneous Online Sources
(2015)This paper describes an approach for generating multi-dimensional Activities, Interests, and Opinions (AIO) insights from disparate web sources. The method involves identifying psychographic profiles using text analysis ... -
Predicting the Hydrodynamic Acoustic Signature of CFAV Quest in the Near Surface Environment
(2012-10-05)Three models for the generation and propagation of hydrodynamic noise near the ocean surface are presented, and are compared for their ability to predict hull noise generated by CFAV Quest. The simulated fluctuating pressure ... -
PREDICTING THE OUTCOME OF KIDNEY TRANSPLANTS USING MACHINE LEARNING METHODS
(2020-04-20)The prediction of the survival of kidney grafts is based on the procedure of matching kidney donors and recipients. Machine learning can be effectively used to analyze the appropriate donor-recipient attributes from a ... -
Prediction of biodiesel fuel atomization characteristics based on measured properties.
(Dalhousie University, 1998) -
Prediction of Cerebral Palsy in Very Preterm Infants
(2021-09-02)Background: The prevalence of cerebral palsy (CP) is ten times higher in preterm compared to term infants. Accurate and early identification of preterm infants at risk for CP would enable early referral to intervention ... -
Prediction of Crime Occurrences: A data-driven approach for single domain and cross-domain learning
(2020-12-15)Nowadays, urban data such as demographics, infrastructure, and crime records are becoming more accessible to researchers. This has led to improvements in quantitative crime research, such as identifying factors that ... -
PREDICTION OF DROPLET SIZE DISTRIBUTION FROM SUBSURFACE OIL RELEASES WITH AND WITHOUT CHEMICAL DISPERSANTS APPLICATION
(2017-04-05)Subsurface oil and gas exploration activities in deeper water have increased in the last few decades. During these activities, subsurface oil blowout incidents may occur and consequently, disastrous impacts on the environment ... -
PREDICTION OF TEXTURE CHARACTERISTICS IN APPLE DRYING USING COMPUTER VISION
(2016-08-09)It was proved that computer vision is applicable for continuous estimation of bulk volume from diameter imaging of apple slices and an empirical model with an average relative percent error of approximately 6.45 % was ... -
PREDICTION OF THE CRYSTALLIZATION ONSET TEMPERATURES OF MOLECULAR LIQUIDS
(2022-04-17)The processes of nucleation and crystallization while cooling are crucial to industry and require specialized models for characterization for process optimization, predictive ca-pabilities and final products quality. ... -
Prediction of the Lift and Drag Coefficients of a Moving Airfoil Using Computational Fluid Dynamics Simulation
(2014-04-03)The purpose of this research is to numerically simulate, analyze, and visualize turbulent flow around rotating aerodynamic shaped 3-dimentional geometries using a custom-made software suite. The computational fluid dynamic ... -
Prediction-Based Haptic Interfaces to Improve Transparency for Complex Virtual Environments
(2017-06-27)Virtual surgical training simulators are an exciting opportunity to improve surgical training, especially in challenging fields like minimally invasive surgery. Virtual surgical training requires highly accurate haptic ... -
Predictive modeling of damage and repair for disease and activity of daily living status in ELSA dataset using machine learning models
(2023-12-08)A good predictive model is useful in health sciences for predicting onset of disease, as well as damage or repair of health deficits. One can predict one or more of these quantities depending on the nature of the collected ... -
Predictors of Better Health Outcomes of Mothers of Children with Autistic Spectrum Disorder
(2010-04-23)Caring for children with autism place mothers at high risk for poor health outcomes and compromises the health of all family members (e.g., Bristol, 1987; Hastings et al., 2005a). Although poor outcomes prevail, some mothers ... -
Predictors of Recurrence After the Surgical Correction of Exodeviation
(2019-04-09)Exodeviations are outward misalignments of the eyes, that may be characterized by periods of control and binocular vision. Despite the frequency of this diagnosis, treatment outcomes remain inconsistent. Surgery is one ... -
Preferences, Barriers and Facilitators to Exercise and Physical Activity in Cancer Survivors of African, Caribbean, and Black descent in Nova Scotia
(2022-08-26)Exercise and PA among Canadian ACB cancer survivors have not been studied. This study used a mixed-methods design (two-phase) to investigate the knowledge, preferences, barriers, and limitations to exercise and PA among ...
