Abstract: This study investigates the application of clustering algorithms to data collected from color sensors providing frequency signals during the cultivation process. Continuous sampling allowed ...
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, ...
In 2002, an unknown mathematician quietly posted a paper online that stunned the academic world. It solved a problem that had defeated the greatest minds for over a century. A $1 million prize and the ...
Background: Aksu Prefecture is among the regions most heavily affected by HIV-1 in China, yet data on acquired drug resistance (ADR) among antiretroviral therapy (ART)–treated individuals with ...
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