Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge deployment. Learn how embedded ...

Abstract: Modern CNN-based object detectors assign anchors for ground-truth objects under the restriction of object-anchor Intersection-over-Union (IoU). In this study, we propose a learning-to-match ...

ailia SDK is a cross-platform, high-speed inference SDK for AI. It supports Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi with GPU acceleration via Vulkan and Metal. Bindings are ...

We show an inference time comparison between the 3 available pose estimation libraries (same hardware and conditions): OpenPose, Alpha-Pose (fast Pytorch version), and Mask R-CNN. The OpenPose runtime ...

Remote visible-shortwave infrared (VSWIR) imaging spectrometers such as Earth surface Mineral dust source InvesTigation (EMIT) are enabling a new area of quantitative Earth Science by collecting ...

The purpose of our study is to develop a deep learning (DL) model based on MRI and analyze its consistency with the treatment recommendations for degenerative cervical spine disorders provided by the ...

Abstract: Detecting human parts at instance-level is an essential prerequisite for the analysis of human keypoints, actions, and attributes. Nonetheless, there is a lack of a large-scale, ...

Sepsis is a major cause of death worldwide. Over the past years, prediction of clinically relevant events through machine learning models has gained particular attention. In the present perspective, ...