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 ...

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, ...

Don't miss the big stories. Like us on Facebook. BENNINGTON — The Tutorial Center will pilot a new evening education initiative, the “Working Learner” Program, at it's Bennington location beginning on ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Global education systems underwent a dramatic transformation due to the COVID-19 pandemic, forcing a sudden shift to online and hybrid learning methods. Understanding the long-term impacts of blended ...

The ongoing revolution in deep learning is reshaping research across many fields, including economics. Its effects are especially clear in solving dynamic economic models. These models often lack ...

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 ...