Abstract: real-world IoT data analysis tasks, such as clustering and anomaly event detection, are unsupervised and highly susceptible to the presence of outliers. In addition to sporadic scattered ...
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How police detect mobile phone use while driving
Mobile phone detection cameras are now being introduced on UK roads. This video explains how the technology works, what it can detect, and how police use it to identify drivers using phones behind the ...
Follow ZDNET: Add us as a preferred source on Google. Apple's Hypertension Detection feature could be the reason you learn about your high blood pressure. The feature is available on the latest lineup ...
Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...
Abstract: Global navigation satellite system (GNSS) radio signals are extremely susceptible to interference in urban environments, and even multifrequency geodetic receiver observation data are often ...
ABSTRACT: In this study, we employ a spatial unsupervised classification technique to analyze the spatio-temporal variability of Sea Surface Temperature (SST) in the tropical African zone. The ...
Context: When working with health-related questionnaires, outlier detection is important. However, traditional methods of outlier detection (e.g., boxplots) can miss participants with “atypical” ...
Software: Python 3.9.7; Jupyter Notebook 6.4.11; pandas 1.3.5; Matplotlib 3.5.1 The table above displays the clean dataframe after merging the two datasets and dropping duplicate mouse ID's. There are ...
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