Across the world, some communities continue to live in remote regions with little or no contact with modern society. These tribes maintain cultural traditions that have been passed down through ...
Forest fires due to uncontrolled jhum cultivation has caused destruction. A 47-year-old man in Manipur's Imphal West district has converted barren land into a 300 acre forest with a wide variety of ...
Abstract: Compared with other anomaly detection methods, the traditional isolation forest algorithm improves the execution efficiency, but it still is time-consuming. Thus, an improved isolation ...
Abstract: [Purpose] In the research of data mining, anomaly detection algorithms can accurately find samples of abnormal behaviors to achieve the purpose of data mining. the isolation forest algorithm ...
ABSTRACT: The cigarette detection data contains a large amount of true sample data and a small amount of false sample data. The false sample data is regarded as abnormal data, and anomaly detection is ...
A preventable oil spill in Ecuador’s Amazon region in the middle of the COVID-19 pandemic puts Indigenous lives at risk. Manuela Picq is a visiting associate professor in Political Science at Amherst ...
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The random forests algorithm is a type of classifier with prominent universality, a wide application range, and robustness for avoiding overfitting. But there are still some drawbacks to random ...
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