Amazon has super holiday deals including Roku & Fire TV Sticks up to 52% off, Blink & Ring security cameras up to 62% off, $5 ...

In autonomous driving, high-definition (HD) maps and semantic maps in bird's-eye view (BEV) are essential for accurate localization, planning, and decision-making. This paper introduces an enhanced ...

Abstract: Various machine learning algorithms exist, each maintaining different assumptions about the underlying data or the function they aim to approximate. One such class of algorithms include tree ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

Abstract: This research aims to classify diabetes patients using machine learning algorithms, with a particular focus on the Hoeffding Tree model. The study utilizes a dataset comprising 256,380 ...

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...

The development of high-performing machine learning models remains a time-consuming and resource-intensive process. Engineers and researchers spend significant time fine-tuning models, optimizing ...

The following is a summary of “Prediction of gastrointestinal bleeding hospitalization risk in hemodialysis using machine learning,” published in the October 2024 issue of Nephrology by Larkin et al.