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Fall 2022
A number of architectures and time series forecasting algorithms use complex fuzzy sets, which are extensions of type-1 fuzzy sets. In the complex fuzzy set literature, the two most common forms of fuzzy sets are sinusoidal membership functions and complex Gaussian membership one. However, there...
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Spring 2018
Patients with Type I Diabetes (T1D) must take insulin injections to prevent the serious long term effects of hyperglycemia â high blood glucose (BG). These patients must also be careful not to inject too much insulin because this could induce hypoglycemia (low BG), which can be fatal. Patients...
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2013
Abou-Moustafa, Karim T., Kozyrskyj, Anita, Guttman, David, Scott, James, Yasui, Yutaka
Entropy measures of probability distributions are widely used measures in ecology, biology, genetics, and in other fields, to quantify species diversity of a community. Unfortunately, entropy–based diversity indices, or diversity indices for short, suffer from three problems. First, when...
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The Estimation of Buttresses Volume and Classification of Leaf, Wood, and Lianas from Terrestrial Laser Scanning data
DownloadSpring 2023
Forests account for one third of land area, and two third of global photosynthesis. The better we know about forests, the better decisions we can make on forest management and carbon cycle modeling. During the last decades, we see the development in remote sensing techniques for forest...
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Fall 2020
We explore the interplay of generate-and-test and gradient-descent techniques for solving online supervised learning problems. The task in supervised learning is to learn a function using samples of inputs to output pairs. This function is called the target function. The standard way to learn...
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The use of off-the-shelf wearable sensors to analyze daily-living activities and emotional state of a person at the Smart Condo
DownloadFall 2019
The Smart Condo is a model condo embedded with a wireless sensor network, developed by an interdisciplinary team including researchers from Occupational Therapy, Industrial Design, Pharmacy, and Computing Science. The Smart Condo aims to support older adults, including those with physical and...
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Tile Embeddings: A General Representation for Procedural Level Generation via Machine Learning
DownloadSpring 2023
Procedural Level Generation via Machine Learning (PLGML) refers to the application of machine learning techniques to the automated generation of game levels. PLGML researchers have investigated different level generation techniques to generate new game levels matching the style of a training...
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Time Series and Machine Learning Approach for Forecasting the Demand for Small Equipment, Tools, and Consumables for Industrial Construction Projects
DownloadSpring 2024
The high consumption and utilization of demand for small equipment, tools, and consumables in construction projects underscores the necessity for effective procurement strategies. Accurate estimation of these consumables is crucial for moving toward project completion in a timely manner. With...
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Fall 2015
Electronic decision support systems have the potential to improve healthcare practices in many domains. This thesis investigates the use of data-driven decision support to help optimize brace treatment for children who have Adolescent Idiopathic Scoliosis (AIS). AIS is a spinal deformity...