Abstract: In bioinformatics, the exact classification of DNA sequences is essential to increasing comprehension of genetic structures and functionalities. This research introduces an enhanced Naive ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

Space complexity of machine learning algorithms is the amount of memory or storage an algorithm requires for its successful execution. This becomes one of the important metrics of concern since it ...

Introduction: Machine Learning (ML) is a collection of tools and techniques that uses data for training to take decisions. It can be done either by making classifications – for instance, the ...

Abstract: Naive Bayes (simply NB) (Langley et al., 1992) has been widely used in machine learning and data mining as a simple and effective classification algorithm. Since its conditional independence ...

Tuberculous meningitis (TBM) poses a diagnostic challenge, particularly impacting vulnerable populations such as infants and those with untreated HIV. Given the diagnostic intricacies of TBM, there’s ...