Index Catalog // Hyrax

On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

O Criador:: Roth, Mark
Abstract:: This paper discusses opportunities for developments in spatial clustering methods to help leverage broad scale community science data for building species distribution models (SDMs). SDMs are critical tools that inform the science and policy needed to mitigate the impacts of climate change on biodiversity. Community science data span spatial and...
Resource Type:: Capstone Project

Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale

O Criador:: Hooper, Samuel
Abstract:: Developing accurate predictive distribution models requires adequately representing relevant spatial and temporal scales, as these scales are ultimately reflective of the relationships between distributions and influential environmental conditions. In this research, we considered both spatial and temporal scale and the influence each has on predicting broad-scale distributions of two disparate...
Resource Type:: Masters Thesis

Simultaneous segmentation and classification of bird song using CNN

O Criador:: Narasimhan, Revathy
Abstract:: In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...
Resource Type:: Masters Thesis

Image Based Crypto

O Criador:: Basa, Gungor
Abstract:: The ability to create reproducible cryptographically secure keys from temporal environments (e.g., images) has the potential to be a contributor to effective cryptographic mechanisms. Due to the noisy nature of these environments, achieving this goal in a user friendly fashion is a very challenging task, especially since there exists a...
Resource Type:: Masters Thesis

The Pursuit of Hoppiness : Propelling Hop into the Genomic Era

O Criador:: Hill, Steven T.
Abstract:: Hop (Humulus lupulus L. var lupulus) is a plant of great cultural significance, used as a medicinal herb for thousands of years, and for flavor and as a preservative in brewing beer. Studies of the medicinal effects of the unique compounds produced by hop have led to interest from the...
Resource Type:: Masters Thesis

Special Nuclear Material Analysis Using Temporal Gamma-Ray Spectroscopy and Machine Learning Methods

O Criador:: Curtis, Jessica R.
Abstract:: Following thermal neutron induced fission, supervised machine learning and temporal gamma-ray spectroscopy methods were used to identify differences in the delayed gamma-ray spectra of Pu-239 and U-235. The temporal gamma-ray spectroscopy method takes advantage of the time-dependent decay of fission products. Employing Spearman's rank-order correlation coefficient and without prior knowledge...
Resource Type:: Masters Thesis

Towards a national map of soil liquefaction susceptibility : modeling with heuristic and geotechnical methods

O Criador:: Lindsley, Adam E.
Abstract:: This study investigates the use of predictive mapping techniques as well as geotechnical criteria in developing a multiregional soil liquefaction model and subsequent maps. The maps were produced using National Cooperative Soil Survey data, in the gSSURGO format, combined with soil liquefaction data gathered from studies, articles, and traditional seismic...
Resource Type:: Masters Thesis

Object detection in biological images using a search-based framework

O Criador:: Lam, Michael
Abstract:: This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images for evolutionary biology research. In particular, our goal is to detect nematocysts in Scanning Electron Microscope (SEM) images. This biological domain presents challenges for existing...
Resource Type:: Masters Thesis

Improving robotic grasping performance using machine learning techniques

O Criador:: Goins, Alex Keith
Abstract:: Robots are being utilized in ever more complex tasks and environments to help humans with difficult or dangerous tasks. However, robotic grasping is still in its infancy and is one of the limiting factors which prevent the deployment of robots in the home and other assisted living scenarios. Traditional methods...
Resource Type:: Masters Thesis

Learning greedy policies for the easy-first framework

O Criador:: Xie, Jun
Abstract:: Easy-first, a search-based structured prediction approach, has been applied to many NLP tasks including dependency parsing and coreference resolution. This approach employs a learned greedy policy (action scoring function) to make easy decisions first, which constrains the remaining decisions and makes them easier. This thesis studies the problem of learning...
Resource Type:: Masters Thesis

Hyrax

On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale

Simultaneous segmentation and classification of bird song using CNN

Image Based Crypto

The Pursuit of Hoppiness : Propelling Hop into the Genomic Era

Special Nuclear Material Analysis Using Temporal Gamma-Ray Spectroscopy and Machine Learning Methods

Towards a national map of soil liquefaction susceptibility : modeling with heuristic and geotechnical methods

Object detection in biological images using a search-based framework

Improving robotic grasping performance using machine learning techniques

Learning greedy policies for the easy-first framework

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