Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...
The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ZEF ...
Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
The electrooxidation of glycerol offers a promising pathway for energy transition and biomass valorization, making it a key area of research. This study employs machine learning (ML) to predict the ...
Gregg is professor of neurobiology and human genetics at the University of Utah. In 2018, I waited until after Christmas to inform my 10- and 12-year-old children that I had metastatic male breast ...
Abstract: In retail, accurate profit and revenue forecasts are important for stock control and increased customer satisfaction. In this regard we examined regression algorithms such as Linear ...
Abstract: In this analysis, the methods used are the K-Nearest Neighbor classification method and the Logistic Regression classification method with data taken on the twitter application. This study ...
Objective: This study aimed to determine spirometric norm values for the healthy Iranian adult population and compare them with established norm equations, specifically the GLI-Caucasian and Iranian ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback