9 datasets found

The dataset for acoustic scattering from convex prism shapes, used to train a convolutional neural network for fast modeling of diffracted occlusion and scattering.

A convolutional neural network for optical flow estimation using pyramid, warping, and cost volume.

Channel modeling has always been the core part in communication system design and development, especially in 5G and 6G era. Traditional approaches like stochastic channel...

Keyword spotting in continuous speech using convolutional neural network.

This study proposes a physics-informed convolutional neural network (CNN) for identifying dynamical systems' time series near a fold bifurcation.

Inception V2 is a deep neural network for image recognition. It uses a convolutional neural network (CNN) architecture and is trained on a large dataset of images.

FaceNet is a deep neural network for face recognition. It uses a convolutional neural network (CNN) architecture and is trained on a large dataset of faces.

A hybrid convolution-recurrent neural network surrogate model was constructed to approximate the relationship between permeability fields, well control sequences, and production...

The dataset used for training a RESNET50 convolutional neural network to extract optical parameters in scattering media.