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Ewa Ropelewska and Krzysztof P. Rutkowski
The ripening stage can affect consumer preference and the market value of peaches. This study was aimed at developing an objective, effective, and fast procedure for distinguishing the different stages of ripeness of peaches using image texture parameter...
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Hyun-Joo Oh, Mutiara Syifa, Chang-Wook Lee and Saro Lee
To effectively prevent land subsidence over abandoned coal mines, it is necessary to quantitatively identify vulnerable areas. In this study, we evaluated the performance of predictive Bayesian, functional, and meta-ensemble machine learning models in ge...
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Evangelos Mavrommatis, Dimitris Damigos and Sevastianos Mirasgedis
Changing climate conditions affect mining operations all over the world, but so far, the mining sector has focused primarily on mitigation actions. Nowadays, there exists increasing recognition of the need for planned adaptation actions. To this end, the...
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Alexander Mackenzie Rivero, Alberto Rodríguez Rodríguez, Edwin Joao Merchán Carreño, Rodrigo Martínez Béjar
Pág. 44 - 49
El uso del aprendizaje automático permite la creación de un modelo predictivo de datos, como resultado del análisis en un conjunto de datos con 286 instancias y nueve atributos pertenecientes al Instituto de Oncología del Centro Médico Universitario. Lju...
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