Index Catalog // ScholarsArchive@OSU

Creator:: Kilbride, John B.
Abstract:: The objective of this dissertation is to enhance the monitoring of forest ecosystems through the utilization of remotely sensed data to address the exigencies posed by the Anthropocene. On a global scale, rising temperatures and fluctuating precipitation patterns have strained forests and produced shifts in natural disturbance regimes. Additionally, the...
Resource Type:: Dissertation
Full Text:: . Jamon Van Den Hoek, Dr. Julia Jones, and Dr. Mark Harmon. Finally, I cannot understate the love and

Creator:: Sturluson, Arni
Abstract:: Uses for materials with a large surface area and high porosity have grown sig-niﬁcantly in recent years. Porous materials have found usage in applications such as separation, gas storage, sensing, puriﬁcation and more, prompting researchers to ﬁnd and discover numerous new porous materials to suit a speciﬁc purpose. Hundreds of...
Resource Type:: Dissertation
Full Text:: numerically compute the singular value decomposition using the svdfact function in Julia.81 14 A

Creator:: Grabinsky, Lisa
Abstract:: For the last 30 years, the population of Mexico has grappled with overweight, obesity, and associated chronic diseases, such as type-2 diabetes and hypertension. To standardize care among healthcare providers and dietitians, an official nutritional guideline was published in the early 2000s, which included a non-modifiable food-based dietary guideline in...
Resource Type:: Masters Thesis
Full Text:: 2 canonical food guide, while accommodating the cultural diversity of Mexico (Muñoz Cano 2015

Creator:: Mannan, Umme Ayda
Abstract:: Software systems are becoming an essential part of the lives of both individuals and organizations, and as a consequence, these systems are getting bigger and more complex. Because of this, the tasks of maintaining the quality in these complex software systems are becoming increasingly difficult. Furthermore, these systems are subject...
Resource Type:: Dissertation

Creator:: Dixit, Gaurav
Abstract:: Multiagent learning offers a rich framework to address challenging real-world problems such as remote exploration and healthcare coordination, which require autonomous agents to express elaborate interactions. To be effective in such systems, agents must collectively reason about and pursue high-level, long-term, and possibly nebulous objectives while adapting their strategy to...
Resource Type:: Dissertation

ScholarsArchive@OSU