Abstract: In skeleton-based human action recognition domain, the methods based on graph convolution networks have great success recently. However, most graphical neural networks consider the skeleton ...

Equipment failure refers to an abnormal state where a component or assembly deteriorates and loses its ability to perform a specified function. Based on this inherent characteristic, it is possible to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Flicker noise analysis has found widespread use in the molecular electronics community ...

Nolen kickstarted their writing career in 2019 and possesses proficiency in video editing, photography, and graphic design. Their fascination with creative technology took root at the Academy of Sound ...

To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the ...

Get to grips with impulse responses and convolution reverb in our guide to one of Logic's most versatile reverb plugins When you purchase through links on our site, we may earn an affiliate commission ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Spinal cord injury (SCI) may lead to impaired motor function, autonomic nervous system dysfunction, and other dysfunctions. Brain-computer Interface (BCI) system based on motor imagery (MI) can ...

Hematoma volume (HV) is a significant diagnosis for determining the clinical stage and therapeutic approach for intracerebral hemorrhage (ICH). The aim of this study is to develop a robust deep ...

Macular edema is considered as a major cause of visual loss and blindness in patients with ocular fundus diseases. Optical coherence tomography (OCT) is a non-invasive imaging technique, which has ...