Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional ...
Abstract: Metamaterial (MTM) modeling and simulation using the Finite-Difference Time-Domain (FDTD) method is discussed. The frequency dependence of the permittivity and permeability of the ...
Designing anisotropic porous bone scaffolds using a self-learning convolutional neural network model
The design of bionic bone scaffolds to mimic the behaviors of native bone tissue is crucial in clinical application, but such design is very challenging due to the complex behaviors of native bone ...
Rolling bearings are the most prone to failures in mechanical equipment, and the vibration signal is unstable. Therefore, according to this characteristic of the bearing, the time-frequency ...
Abstract: Bluetooth and Wi-Fi technology are commonly used in many areas, including smart phones, smart wearable devices, and Internet of Things (IoT). These technologies build communication bridges ...
Studies have reported the use of photoplethysmography signals to detect atrial fibrillation; however, the use of photoplethysmography signals in classifying multiclass arrhythmias has rarely been ...
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