AN IMPROVED RANDOM FOREST-MONTE CARLO METHOD AND APPLICATION FOR STRUCTURAL RELIABILITY ANALYSIS OF A-TYPE INDEPENDENT LIQUID TANK SUPPORT STRUCTURE

An improved random forest-Monte Carlo method and application for structural reliability analysis of A-type independent liquid tank support structure

ObjectivesIn response to the increasing depth of research and design on liquefied natural gas (LNG) ship structures, higher requirements are put forward for a reliability analysis method that can quickly and accurately evaluate uncertain factors.This paper proposes a method based on an improved random forest-Monte Carlo method (RF-MC) to solve the

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Classification system for oral submucous fibrosis

Oral submucous fibrosis (OSMF) is a potentially malignant disorder (PMD) and read more crippling condition of oral mucosa.It is a chronic insidious scarring disease of oral cavity, pharynx and upper digestive tract, characterized by progressive inability to open the mouth due to loss of elasticity and development of vertical fibrous bands in labial

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