The output package could support directly training of popular machine learning tasks (e.g., object detection, semantic segmentation, instance segmentation etc,). We believe you are familiar with ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

Researchers have combined various x-ray imaging technologies to create multi-contrast images that can be used to detect threatening materials such as explosives in thousands of complicated scenarios.

Abstract: Significant improvement has been achieved lately in color and depth data-based salient object detection (SOD) on images from varied datasets, which is mainly due to RGB-D fusion using modern ...

Keywords: Fraud detection, Machine learning, Feature engineering, Random Forest, Gradient Boosting, Logistic Regression, Deep learning. The winding path of this research into fraud detection using ...

The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails ...

In a paper published in the journal Scientific Reports, researchers highlighted the transformative impact of machine learning (ML) techniques on e-learning systems, which boosted the reusability of ...

Artificial intelligence (AI) and machine learning (ML) can effectively detect and diagnose Polycystic Ovary Syndrome (PCOS), which is the most common hormone disorder among women, typically between ...

In the current Artificial Intelligence and Machine Learning industry, “Image Recognition”, and “Computer Vision” are two of the hottest trends. Both of these fields involve working with identifying ...