This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

ABSTRACT: Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for retinal disease diagnosis. However, manual interpretation of OCT images is time-consuming, ...

Alex Michelsen and Learner Tien have trained and risen together for years. Matthew Futterman MISSION VIEJO, Calif. — For a few hours of a sparkling mid-December morning in Southern California, two ...

Abstract: Breast cancer is a prominent and fatal cancers that affect adult females worldwide. Improving patient outcomes requires early detection and accurate diagnosis. Recent advances in computer ...

ABSTRACT: Facing increased energy demand which surpasses national grid supply capacity due to rapid population growth, urbanization, and economic activities, developing countries such as Cameroon are ...

MathWorks, the leading developer of mathematical computing software, is providing probabilistic load flow (PLF) capabilities to enhance system planning solutions for Eversource Energy, New England's ...

AdaBoost regression is most often used with data that has strictly numeric predictor variables. It is possible to use AdaBoost regression with mixed categorical and numeric data, by using ordinal ...

The original AdaBoost ("adaptive boosting") algorithm is a binary classification technique (predicting a variable that has two possible values, such as the sex of a person). The AdaBoost.R2 ("AdaBoost ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...