Thanks to researchers at Georgia Tech, robots have taken several new steps towards replacing human labor – and not simply for ...
Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
Fault diagnosis method for high-voltage circuit breakers based on physics-informed transfer learning
This study proposes a fault detection method for high-voltage circuit breakers based on multi-source information and motion analysis. First, a 1-dimensional recurrent neural network (1DRNN) is used to ...
Functional brain connectivity has been instrumental in uncovering the large-scale organization of the brain and its relation to various behavioral and clinical phenotypes. Understanding how this ...
Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...
Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.
Abstract: Deep learning based methods have achieved extraordinary success in SAR automatic target recognition. However, deep learning conventionally necessitates a substantial number of labeled ...
1 Department of Respiratory and Critical Care Medicine, Changzheng Hospital, The Second Affiliated Hospital of Naval Medical University, Shanghai, China. 2 Department of Respiratory and Critical Care ...
Abstract: Optimizer-based meta-learning, specifically model-agnostic meta-learning (MAML), has emerged as a powerful tool for tackling the cold-start recommendation problem. In these ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results