This is a preview. Log in through your library . Abstract The convolution of two φ-convex functions is estimated by means of an inequality of Hadamard type. The sharpness of this inequality is ...

This is a preview. Log in through your library . Abstract The semi-discrete convolution with the box spline is an important tool in approximation theory. We give a formula for the difference between ...

In the drug discovery process, traditional structure-based virtual screening methods, such as molecular docking, are often limited by empirical scoring functions. Recent studies have demonstrated that ...

Abstract: Convolutional neural network is the most important algorithm in the field of deep learning. The traditional convolution neural network usually uses Sigmoid or Relu as the activation function ...

Abstract: For the application of artificial intelligence in image-based smoke detection in emergency management, this paper proposes an image recognition algorithm based on a multi-scale dilated ...

The research investigates the effects of randomized nitrogen and boron doping on the structural, electronic, and optical properties of biphenylene monolayers using convolutional neural networks (CNNs) ...