This project aims to detect and classify 16x16 pixel drawings into 10 categories (Sun, Moon, Tree, etc.) using linear and probabilistic models. The main focus was not just to use high-level libraries, ...
Abstract: With the rapid development of wireless communication technology, accurate wireless ranging has become crucial across various domains. This paper introduces an Received Signal Strength ...
Compared to the conventional high-order staggered-grid finite-difference method (C-SFD), the time–space domain dispersion-relation-based high-order staggered-grid finite-difference method (TS-SFD) can ...
A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...
E4620 is typically taught once per year in the Fall semester. The information below is meant to provide a snapshot of the material covered. E4620 is intended to provide students with an introduction ...
ABSTRACT: Over the past decade, financial fraud has emerged as a critical challenge in rural communities, where limited financial literacy, weak digital infrastructure, and social vulnerabilities make ...
ABSTRACT: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...
The Minneapolis City Council on Thursday approved an ordinance that would prohibit landlords from employing algorithms to set rent and vacancy rates. The proposed ordinance would specifically ban the ...
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