Methods: This study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

where p in the table is usually 2 or inf. The objective of standard and adversarial training is fundamentally different. In standard training, the classifier minimize the loss computed from the ...

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper. - bxt-kk/vk-openpose Skip to content ...

Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts.