Index Catalog // ScholarsArchive@OSU

Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

Creator:: Deng, Dezhong
Abstract:: Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
Resource Type:: Dissertation
Full Text:: Abstract approved: David A. Hendrix Our goal is to build a system to model the RNA sequences that reveals

Pedestrian distraction : pedestrian behaviors at midblock crossings considering geometric and environmental conditions

Creator:: Kautz, Julia Anne
Abstract:: Pedestrian distraction at roadway crossings has been correlated with a higher risk of pedestrian-vehicle collisions due to the pedestrian's cognitive, visual, and motor attention being drawn to a wide variety of secondary tasks. This study is different from previous field studies of pedestrian midblock crossings in that the geometric layout...
Resource Type:: Masters Thesis
Full Text:: : ______________________________________________________ David S. Hurwitz Pedestrian distraction at roadway crossings has been correlated with a

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

Interpretable Machine Learning: Applications in Biology and Genomics

Creator:: Danaee, Padideh
Abstract:: Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
Resource Type:: Dissertation
Full Text:: Machine Learning: Applications in Biology and Genomics Abstract approved: David A. Hendrix Machine

OME : A Framework for Running Spatially Explicit System Dynamics Models

Creator:: Wingo, Patrick C.
Abstract:: The Open Modeling Environment (OME) is a tool developed to address some known shortcomings in ecological System Dynamics (SD) modeling research. OME provides a common set of methods for interacting directly with spatial information, reducing the need for modelers to create their own methods for doing so. The environment is...
Resource Type:: Masters Thesis
Full Text:: Dynamics Models AN ABSTRACT OF THE THESIS OF Patrick C. Wingo for the degree of

An Information Modeling Framework for Support of Sustainable Manufacturing System Design Decision Making

Creator:: Shankar Raman, Arvind
Abstract:: Manufacturing technology has continuously evolved and advanced over the past century; this has led to an increase in the production of consumer and industrial goods driven by simultaneous growth in population and wealth. Despite the resulting economic and labor growth, environmental impacts of manufacturing have increased dramatically due to the...
Resource Type:: Dissertation
Full Text:: Hoyle, Dr. David Porter, Dr. Prasad Tadepalli, who provided useful insights and recommendations during

Long Wave Amplification in a Coral-Reef Lagoon

Creator:: Bheeroo, Vivek Anand
Abstract:: A series of laboratory experiments were conducted to study the wave field in the inner lagoon excited by ‘long’ incident waves. Three cases were considered: Cases A, B and C presenting incident waves of wavelength with factors of 1, 2 and 2.5 times the width of the reef respectively. The...
Resource Type:: Masters Thesis
Full Text:: ’ incident waves. Three cases were considered: Cases A, B and C presenting incident waves of wavelength

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

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:: predictive models to local conditions, the next step is to apply the calibration factor, C

Object highlighting : real-time boundary detection using a Bayesian network

Creator:: Jia, Jin
Abstract:: Image segmentation continues to be a fundamental problem in computer vision and image understanding. In this thesis, we present a Bayesian network that we use for object boundary detection in which the MPE (most probable explanation) before any evidence can produce multiple non-overlapping, non-self-intersecting closed contours and the MPE with...
Resource Type:: Masters Thesis
Full Text:: thank Professor Ron Metoyer, Professor Prasad Tadepalli and Professor David Birkes for being on my

ScholarsArchive@OSU

Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

Pedestrian distraction : pedestrian behaviors at midblock crossings considering geometric and environmental conditions

Deep Learning for Human and Biological Languages

Interpretable Machine Learning: Applications in Biology and Genomics

OME : A Framework for Running Spatially Explicit System Dynamics Models

An Information Modeling Framework for Support of Sustainable Manufacturing System Design Decision Making

Long Wave Amplification in a Coral-Reef Lagoon

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

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

Object highlighting : real-time boundary detection using a Bayesian network

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