Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

SmartKNN is a nearest-neighbor–based learning method that belongs to the broader KNN family of algorithms.

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...

Abstract: K-nearest neighbor classification algorithm can quickly deal with the classification problem in this paper, but when calculating the similarity, it will assign the same weight to all ...

Spam is one of the issues of the Internet which required attention the most especially on the social networking websites and that’s why spam detection is a very concerned issue. Although there are ...

It seems as if pytorch tensor operations can preform some tasks faster than numpy array operations. In order to check this we will be switching the numpy operations into equivalent pytorch operations.