Several state-of-the-art convolutional neural networks (CNNs)-based methods are available
for image denoising tasks. CNNs are typically trained using the backpropagation algorithm …

Diffusion coefficient (D 12) is an important transport property in the petrochemical and
pharmaceutical industries for the design and optimization of processes. The process of …

Dynamic systems such as cells or tissues generate, either spontaneously or in response to
stimuli, transient signals that carry information about the system. Characterization of …

快速准确地估算震级对地震预警有着极其重要的意义. 基于初至地震波某一特征参数的震级估算
方法被广泛应用于地震预警中, 但是由单一特征参数建立的震级经验公式, 并不能充分利用初至 …

The main application bottlenecks of large-scale Gaussian process regression lie in the
following three points: 1) solving the inverse matrix of n training points results in higher O (n …

With the emergence of a large quantity of data in science and industry, it is urgent to improve
the prediction accuracy and reduce the high complexity of Gaussian process regression …

Fast and accurate magnitude estimation is essential for earthquake early warning system
(EEWs). The magnitude estimation methods based on a single characteristic parameter of …