Applied datasets can vary from a few hundred to thousands of samples in typical quantitative
structure-activity/property (QSAR/QSPR) relationships and classification. However, the size …

A fluent conversation with a virtual assistant, person-tailored news feeds, and deep-fake
images created within seconds—all those things that have been unthinkable for a long time …

The rapid increase and adoption of Internet of Things (IoT) devices have introduced
unprecedented conveniences into modern life. However, this growth has also ushered in a …

Drug abuse are on the rise, with many users enter the addiction phase, often resulting in
overdose and death. Drugs are chemical compounds that are capable of affecting biological …

The habitancy of maize crops endorses a broad spectrum of post-emergence weeds. Of
note, 4-hydroxyphenylpyruvate dioxygenase (HPPD) is regarded as a promising herbicidal …

Medical drug classification is considered one of the industrial applications that Artificial
Intelligence and Machine Learning can help to do that task. The Drug interactions, namely …

Penelitian ini membandingkan kinerja tiga algoritma klasifikasi: Naive Bayes, k-Nearest
Neighbor, dan Logistic Regression pada dataset multiclass. Kinerja masing-masing …

Data cleaning is an important process for improving the quality of decision-making
information. One of today's popular cleaning tools is data mining techniques. In this paper …

La presente tesis doctoral tiene como propósito determinar el nivel de relación entre la
productividad educativa y los algoritmos de aprendizaje automático en estudiantes EPISI de …

The execution of the scientific applications on the Cloud comes with great flexibility,
scalability, cost-effectiveness, and substantial computing power. Market-leading Cloud …