Index Catalog // ScholarsArchive@OSU

Deep Learning for Human and Biological Languages

Creator:: Hong, Junki
Abstract:: We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
Resource Type:: Dissertation
Full Text:: Human and Biological Languages Abstract approved: David Hendrix and Liang Huang We explore the

Calibrating the highway safety manual predictive methods for Oregon rural state highways

Creator:: Xie, Fei
Abstract:: The first edition of the Highway Safety Manual (HSM) provides a quantitative approach to predict the safety of transportation facilities based on the recently developed scientific methods. This approach, known as the predictive method, was developed for several states in the United States. Due to differences in driver population, weather...
Resource Type:: Masters Thesis
Full Text:: ............................................................................ 23 7.1: Candidate Independent Variables for Minor AADT Estimation Models ................. 25 7.2

Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV 136Xe+26, Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV ¹³⁶Xe⁺²⁶

Creator:: Sadi, Supriyadi
Abstract:: Microstructure changes in uranium and uranium/metal alloys due to radiation damage are of great interest in nuclear science and engineering. Titanium has attracted attention because of its similarity to Zr. It has been proposed for use in the second generation of fusion reactors due to its resistance to radiation-induced swelling....
Resource Type:: Dissertation
Full Text:: facilities during this thesis project. I would like to thank Dr. Andrew C. Klein and Dr. David M. Hamby for

Multiagent learning for locomotion and coordination in tensegrity robotics

Creator:: Iscen, Atil
Abstract:: Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages to the field of robotics. Tensegrity robots are, however, notoriously difficult to control due to their oscillatory nature and nonlinear interaction between the components. Multiagent...
Resource Type:: Dissertation

Automated decomposition of complex parts for manufacturing with advanced joining processes

Creator:: Massoni, Brandon R.
Abstract:: Recent advancements in joining operations and additive manufacturing now allow complex metal parts to be built up from raw materials, as opposed to being machined down from solid blocks. This not only opens up the design space, but also allows for much more efficient manufacturing. By decomposing a complex part...
Resource Type:: Dissertation
Full Text:: Prof. Karl Haapala, Prof. David Kim, Rothanak Chan, Harsha Malshe, Steven Lindberg, Ryan Allen, and

Approximation Schemes in Planar Graphs

Creator:: Zheng, Baigong
Abstract:: There are growing interests in designing polynomial-time approximation schemes (PTAS) for optimization problems in planar graphs. Many NP-hard problems are shown to admit PTAS in planar graphs in the last decade, including Steiner tree, Steiner forest, two- edge-connected subgraphs and so on. We follow this research line and study several...
Resource Type:: Dissertation
Full Text:: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 4 Local Search PTAS for Minimum Feedback Vertex Set in Minor-free Graphs 103 4.1 Overview

Topics in toroidal interconnection networks

Creator:: Broeg, Robert Richard
Resource Type:: Dissertation

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Creator:: Koul, Anurag
Abstract:: Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
Resource Type:: Dissertation
Full Text:: David Zerbe as well as all my housemates in the “International House”. Over the years, meeting people

Leveraging Structures of the Data in Deep Learning

Creator:: Li, Xingyi
Abstract:: The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
Resource Type:: Dissertation
Full Text:: × 3, 5× 5). CNN is invariant to translations as well as minor local deformations, but not

Effectiveness of integration of internet technologies in support of teaching and learning computer science programming

Creator:: Hajebi, Mojgan
Abstract:: In spite of wide spread adoption of the internet technology in teaching and learning, little research exists on the use and the effect of web incorporation in teaching and learning. Immediate clarification of how, when, and for whom the web integration in education is beneficial is needed. This qualitative study...
Resource Type:: Dissertation
Full Text:: ................................................................................................. 122 David

ScholarsArchive@OSU

Deep Learning for Human and Biological Languages

Calibrating the highway safety manual predictive methods for Oregon rural state highways

Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV 136Xe+26, Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV ¹³⁶Xe⁺²⁶

Multiagent learning for locomotion and coordination in tensegrity robotics

Automated decomposition of complex parts for manufacturing with advanced joining processes

Approximation Schemes in Planar Graphs

Topics in toroidal interconnection networks

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Leveraging Structures of the Data in Deep Learning

Effectiveness of integration of internet technologies in support of teaching and learning computer science programming

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