EXTRACTION OF MINERALIZED INDICATOR MINERALS USING ENSEMBLE LEARNING MODEL OPTIMIZED BY SSA BASED ON HYPERSPECTRAL IMAGE

Extraction of mineralized indicator minerals using ensemble learning model optimized by SSA based on hyperspectral image

Mineralized indicator minerals are an important geological and mineral exploration indicator.Rapid extraction of mineralized indicator minerals from hyperspectral remote sensing images using ensemble learning model has important geological significance for mineral resources exploration.In this study, two mineralized indicator minerals, limonite and

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Curiositas altissima

The works written Collections by Dimitrie Cantemir in Latin language are meant to respond to the curiosity the author assumes that characterizes his readers.He accomplishes his purpose in a multifarious manner, mostly by offering precise data extracted from an extensive bibliography.Nonetheless, his personal experience is frequently a valuable sour

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Strategi Pengelolaan Sampah Berkelanjutan pada Industri Rokok Menggunakan Konsep 5R (Reduce, Reuse, Recycle, Recovery, and Repair)

Industrial waste is considered to have a higher economic value.The cigarette industry is a large industry that involves thousands of workers, so it is necessary to carry out good waste/garbage management so as not to pollute the surrounding environment.The Ministry of National Development Planning/BAPPENAS in collaboration with United Nations Devel

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