Watching hours of “sheepdog YouTube”—competitions where trained dogs shepherd a small number of unpredictable sheep—gave ...
I was walking in Alice Holt Forest on England’s Surrey-Hampshire border when I stopped to listen. Despite there being nobody nearby, a slow “breathing” sound filled my ears. This was not a trick. An ...
Abstract: The risk of pedestrian-involved traffic accidents represents a significant challenge to road safety and necessitates objective methods for analyzing the contributing factors. This study ...
The emergence of newer SARS-CoV-2 variants of concern (VOCs) profoundly changed the ICU demography; this shift in the virus's genotype and its correlation to lethality in the ICUs is still not fully ...
Abstract: Protein-protein interactions exist ubiquitously and play important roles in the life cycles of living cells. The interaction sites (residues) are essential to understanding the underlying ...
Pediatric myocarditis is a rare disease with substantial mortality. Little is known regarding its prognostic factors. We hypothesize that certain comorbidities and procedural needs may increase risks ...
This project is about anomaly detection in social network, completely on network structure. We use random forest algorithm to train and test our classifier. Also, we are going to see how the effect of ...
##Description This class implements a Random Decision Forests classifier. Random Forests are an ensemble learning method that operate by building a number of decision trees at training time and ...
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