ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Abstract: The rapid growth of "big data" has made it more challenging to quickly manage and analyze enormous datasets in environments with distributed computing. To address this problem, the article ...

Besides trying to make the content easy to follow, here summarizes the uniqueness of this book: (1) it offers Python source code that is tailored to be simple so that it would be natural for you to ...

Besides trying to make the content easy to follow, here summarizes the uniqueness about this book: (1) it offers Python source code that is tailored to be simple so that it would be natural for you to ...

Abstract: This research work focuses on analyzing the performance of a proposed random forest (RF) method with that of Gaussian Naive Bayes in predicting software problems. The database utilized in ...