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- 76Optimization
- 21Artificial Intelligence
- 18Reinforcement Learning
- 16Deep Learning
- 10Computer Vision
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Fall 2021
As a key infrastructure of constructing the Internet of Things, wireless sensor networks (WSNs) have attracted plenty of research interest. It is expected to be widely applied in almost every aspect of future life. Nowadays, some preliminary applications and prototypes have emerged in various...
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Fall 2015
In this thesis, we consider two closely related clustering problems, Min Sum k-Clustering (MSkC) and Balanced k-Median (BkM). In Min Sum k-clustering, one is given a graph and a parameter k, and has to partition the vertices in the graph into k clusters to minimize the sum of pairwise distances...
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Assessing the Capabilities of a Multispectral Unmanned Aerial System (UAS) at the Santa Rosa Environmental Monitoring Super Site, Costa Rica
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The main objective of this thesis was to assess the capabilities of an Unmanned Aerial System (UAS) equipped with a multispectral camera at the Santa Rosa Environmental Monitoring Super Site, Guanacaste, Costa Rica (SR-EMSS). Nowadays, available solutions for processing UAS multispectral imagery...
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Assessing the Feasibility of Learning Biomedical Phenotype Patterns Using High-Throughput Omics Profiles
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A decade after the completion of the human genome project, the rapid advancement of the high-throughput measurement technologies has made omics (genomics, epigenomics, transcriptomics, metabolomics) profiling feasible. The availability of such omics profiles has raised the hope for the...
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Assessment of Human Trunk Kinetics Using a Multi-Segment Model: An Approach to Minimize the Propagation of Experimental Errors
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Evaluating several pathological conditions such as low-back pain, scoliosis, herniated discs, and postural stability after spinal cord injury or chronic stroke requires a deep understanding of the inter-spinal interactions. Assessing the kinetics of the human head-arms-trunk (HAT) could provide...
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Fall 2012
Automated sports commentary is a form of automated narrative and human-computer interaction. Sports commentary exists to keep the viewer informed and entertained. One way to entertain the viewer is by telling brief stories relevant to the game in progress. We introduce a system called the...
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Fall 2018
Videogames often use artificial intelligence to control characters in the game world. In doing so, videogames require one or more agents to navigate from their current location to some desired goal location without collisions. We explore improving algorithm performance in both single and...
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Automatic Detection of Underground Objects in Ground Penetrating Radar Images using Machine Learning
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The population increase has stimulated the need for the creation and expansion of existing urban infrastructures such as sewer, water, power and telecommunication lines. In order to support this need, multiple efforts to find sustainable solutions that support the urbanization trend have been...
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Spring 2017
Optimizing an objective function over convex sets is a key problem in many different machine learning models. One of the various kinds of well studied objective functions is the convex function, where any local minimum must be the global mini- mum over the domain. To find the optimal point that...
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Spring 2022
Nowadays, with the rapid development of science and technology, human healthcare has become a hot topic and attracts more and more attention. A lot of researchers work on different technologies to contribute to our healthcare no matter disease diagnosis and prognosis or disease treatment. In this...