Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...

Let's face it: Vintage Christmas was just better. Whether it's because of the nostalgia, the unabashed kitschiness, or the flagrant disregard for flammability, decorations from the past were cozy, ...

Many people look at trees to relax, taking in the soothing fractal patterns to adjust their eyes from too many hours spent at a computer. Dominick "Dom" Ciruzzi, assistant professor of geology at ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...

If you have a large collection of house plants, knick-knacks, or other small decor items, it can be tricky to find space for displaying all of them in your home. However, getting a new side table for ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

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 ...

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...