Index Catalog // ScholarsArchive@OSU

Creator:: Krivova, Maria
Abstract:: Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Maria Krivova

Creator:: Blaisdell, Josiah
Abstract:: The Gulf of Alaska (GOA) is home to the most productive fisheries in the world. In 2019, 2.2 million metric tons of fish were shipped from Alaska to destinations all over the world (NOAA Fisheries, 2019). From 2014-2016 and, more recently, in 2019 the largest heatwaves in recorded history caused...
Resource Type:: Masters Thesis
Full Text:: Gulf of Alaska Juvenile Pacific Cod” with feedback from Yue Zhang, Jessica Miller, and Maria

Creator:: Zhu, Minjie
Abstract:: To facilitate the evaluation and design of structures subjected to fluid loading, a study of fluid-structure interaction (FSI) using the particle finite element method (PFEM) is presented to approximate the responses and sensitivities of structures which interact with fluid. A wide range of structural types are permissible by making no...
Resource Type:: Dissertation

Creator:: Wei, Qi
Abstract:: Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
Resource Type:: Dissertation

Creator:: Almadhoun, Eman
Abstract:: In computer science, learning abstract fundamental programming concepts requiring students to understand memory management can be very difficult and lead to misunderstandings that carry on into advanced topics. This is especially true in data structures with abstract data types. Understanding how novice students think and reason about data structures is...
Resource Type:: Dissertation

ScholarsArchive@OSU