Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Abstract: 3D object detection in LiDAR point clouds faces significant challenges in sparse point clouds and unfamiliar environments. Existing methods often rely on simple multi-layer perceptrons or ...
The plastic 3D-printed replica pistols formed part of display stands Patel presented to at least three senior New Zealand security officials in July. Patel, the most senior Trump administration ...
Abstract: Electroencephalogram (EEG) has been widely employed in emotion recognition, seizure detection, and brain-computer interface applications. This article presents an elaborated RISC-V-based EEG ...
Included with this Crest 3D Whitestrips kit are a total of 44 whitening strips. That breaks down to 22 treatments complete with a strip for your upper and lower sets of teeth. Each one is said to ...
Abstract: Vision Transformer (ViT) applied to structural magnetic resonance images has demonstrated success in the diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, ...
Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...