Abstract: This work aimed to determine and propose a teacher classification methodology based on criteria evaluated by students using a methodology based on Machine Learning. For this purpose, 114 ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...
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