Physical Sciences and Mathematics Commons^™

Data-Optimized Spatial Field Predictions For Robotic Adaptive Sampling: A Gaussian Process Approach, Zachary Nathan

Computer Science Senior Theses

We introduce a framework that combines Gaussian Process models, robotic sensor measurements, and sampling data to predict spatial fields. In this context, a spatial field refers to the distribution of a variable throughout a specific area, such as temperature or pH variations over the surface of a lake. Whereas existing methods tend to analyze only the particular field(s) of interest, our approach optimizes predictions through the effective use of all available data. We validated our framework on several datasets, showing that errors can decline by up to two-thirds through the inclusion of additional colocated measurements. In support of adaptive sampling, …

Algorithmic Bias: Causes And Effects On Marginalized Communities, Katrina M. Baha

Undergraduate Honors Theses

Individuals from marginalized backgrounds face different healthcare outcomes due to algorithmic bias in the technological healthcare industry. Algorithmic biases, which are the biases that arise from the set of steps used to solve or analyze a problem, are evident when people from marginalized communities use healthcare technology. For example, many pulse oximeters, which are the medical devices used to measure oxygen saturation in the blood, are not able to accurately read people who have darker skin tones. Thus, people with darker skin tones are not able to receive proper health care due to their pulse oximetry data being inaccurate. This …

Deeppatent2: A Large-Scale Benchmarking Corpus For Technical Drawing Understanding, Kehinde Ajayi, Xin Wei, Martin Gryder, Winston Shields, Jian Wu, Shawn M. Jones, Michal Kucer, Diane Oyen

Computer Science Faculty Publications

Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still limited by the sheer volume, versatility, and diversity of the available datasets. CV tasks, such as image captioning, which has primarily been carried out on natural images, still struggle to produce accurate and meaningful captions on sketched images often included in scientific and technical documents. The advancement of other tasks such as 3D reconstruction from 2D images requires larger datasets with multiple viewpoints. We introduce DeepPatent2, a large-scale dataset, providing more than 2.7 million …

Online Masters In Data Science, Joanna Burkhardt

Library Impact Statements

No abstract provided.

Data Analytics And Visualization Dsp 562, Harrison Dekker

Collection Development Reports and Documents

No abstract provided.

Advanced Topics In Machine Learning Dsp 566, Harrison Dekker

Collection Development Reports and Documents

No abstract provided.

Advanced Database Concepts, Cloud Computing And Big Data Dsp 567, Harrison Dekker

Collection Development Reports and Documents

No abstract provided.

Introduction To Statistical Computing Dsp 565, Harrison Dekker

Collection Development Reports and Documents

No abstract provided.

Applications Of Data Science In Biological Science Dsp 569, Harrison Dekker

Collection Development Reports and Documents

No abstract provided.

Messiness: Automating Iot Data Streaming Spatial Analysis, Christopher White, Atilio Barreda Ii

Publications and Research

The spaces we live in go through many transformations over the course of a year, a month, or a day; My room has seen tremendous clutter and pristine order within the span of a few hours. My goal is to discover patterns within my space and formulate an understanding of the changes that occur. This insight will provide actionable direction for maintaining a cleaner environment, as well as provide some information about the optimal times for productivity and energy preservation.

Using a Raspberry Pi, I will set up automated image capture in a room in my home. These images will …

The Impact Of Twitter On The National Hockey League And Its Players, Benjamin Strauss

Honors Projects in Data Science

This study offers a new perspective on collecting and analyzing Twitter data surrounding the National Hockey League (NHL) to identify any trends or relationships between the data and overall performance during the 2021 abbreviated season. This paper provides and in-depth analysis by studying a sample of sixty of the top NHL players, specifically those who are typically top performers in the league, spanning over all thirty-one teams and all positions, this study was able to identify a deeper and broader perspective of what implications can be drawn from analyzing data from Twitter to both predict and reflect both individual player …

Introduction To The Mathematical Analysis Of Data Ams 450, Harrison Dekker

Library Impact Statements

No abstract provided.

Inference Of Surface Velocities From Oblique Time Lapse Photos And Terrestrial Based Lidar At The Helheim Glacier, Franklyn T. Dunbar Ii

Graduate Student Theses, Dissertations, & Professional Papers

Using time dependent observations derived from terrestrial LiDAR and oblique
time-lapse imagery, we demonstrate that a Bayesian approach to glacial motion es-
timation provides a concise way to incorporate multiple data products into a single
motion estimation procedure effectively producing surface velocity estimates with
an associated uncertainty. This approach brings both improved computational effi-
ciency, and greater scalability across observational time-frames when compared to
existing methods. To gauge efficacy, we apply these methods to a set of observa-
tions from the Helheim Glacier, a critical actor in contemporary mass loss trends
observed in the Greenland Ice Sheet. We find that …

Introduction To Data Science Lti 110, Joanna Burkhardt

Library Impact Statements

No abstract provided.

Research In Data Science Dsp 599, Harrison Dekker

Library Impact Statements

No abstract provided.

Data Science Internship Dsp 477, Harrison Dekker

Library Impact Statements

No abstract provided.

Data Visualization And Infographics Design Art404g/Dsp Xxx, Harrison Dekker

Library Impact Statements

No abstract provided.

Online Graduate Certificate In Gis, Joanna Burkhardt

Library Impact Statements

No abstract provided.

Programming For Data Science Csc 310, Amanda Izenstark

Library Impact Statements

No abstract provided.

Data Science Program, Amanda Izenstark

Library Impact Statements

No abstract provided.