Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
Abstract: This paper presents a geospatial assessment approach to evaluate the risk of cyclist accidents in urban areas. Utilizing data about road intersections, bike lanes, and bus stops, the ...
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