Prediction of potential seismic damage using classification and regression trees: a case study on earthquake damage databases from Turkey
Sign Up to like & getrecommendations! Published in 2020 at "Natural Hazards"
DOI: 10.1007/s11069-020-04125-2
Abstract: Seismic damage estimation is an important key ingredient of seismic loss modeling, risk mitigation and disaster management. It is a problem involving inherent uncertainties and complexities. Thus, it is important to employ robust approaches which… read more here.
Keywords: classification; seismic damage; classification regression; prediction potential ... See more keywords
Numerical prediction of potential cavitation erosion in fuel injectors
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DOI: 10.1016/j.ijmultiphaseflow.2018.03.005
Abstract: Abstract Flow devices, like throttle and nozzles often encounter huge pressure drops, sometimes much below the saturation pressures. This leads to the occurrence of cavitation with vapor and bubble generation. Once the bubble gets transported… read more here.
Keywords: cavitation; erosion; prediction potential; numerical prediction ... See more keywords
In silico prediction of potential chemical reactions mediated by human enzymes
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DOI: 10.1186/s12859-018-2194-2
Abstract: BackgroundAdministered drugs are often converted into an ineffective or activated form by enzymes in our body. Conventional in silico prediction approaches focused on therapeutically important enzymes such as CYP450. However, there are more than thousands… read more here.
Keywords: prediction potential; model; potential chemical; silico prediction ... See more keywords
Prediction of Potential Natural Antibiotics Plants Based on Jamu Formula Using Random Forest Classifier
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DOI: 10.3390/antibiotics11091199
Abstract: Jamu is the traditional Indonesian herbal medicine system that is considered to have many benefits such as serving as a cure for diseases or maintaining sound health. A Jamu medicine is generally made from a… read more here.
Keywords: natural antibiotics; prediction potential; random forest; potential natural ... See more keywords