Results 41 to 50 of about 6,781,577 (302)
Physics-constrained 3D convolutional neural networks for electrodynamics
We present a physics-constrained neural network (PCNN) approach to solving Maxwell’s equations for the electromagnetic fields of intense relativistic charged particle beams. We create a 3D convolutional PCNN to map time-varying current and charge densities J(r, t) and ρ(r, t) to vector and scalar potentials A(r, t) and φ(r, t) from which we generate ...
Alexander Scheinker, Reeju Pokharel
openaire +3 more sources
Online Spatio-Temporal 3D Convolutional Neural Network for Early Recognition of Handwritten Gestures [PDF]
International audienceInspired by recent spatio-temporal Convolutional Neural Networks in computer vision field, we propose OLT-C3D (Online Long-Term Convolutional 3D), a new architecture based on a 3D Convolutional Neural Network (3D CNN) to address the
Anquetil, Eric +2 more
core +4 more sources
Behavior Recognition Algorithm Based on the Fusion of SE-R3D and LSTM Network
In view of the fact that the existing behavior recognition algorithms cannot fully extract abstract behavior features, this paper proposes a SE-R3D-LSTM behavior recognition algorithm based on 3D residual convolutional neural network (R3D), which ...
Jin Wu +3 more
doaj +1 more source
3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network [PDF]
Schizophrenia (ScZ) is a chronic mental disorder affecting the function of the brain, which causes emotional, social, and cognitive problems.
Wen, Peng +3 more
core +1 more source
Convolutional neural network structure.
Convolutional neural network structure.
Lerui Chen (8399430) +2 more
core +2 more sources
A micro-expression is defined as an uncontrollable muscular movement shown on the face of humans when one is trying to conceal or repress his true emotions.
Boyu Chen +5 more
doaj +1 more source
3D multi-view convolutional neural networks for lung nodule classification. [PDF]
The 3D convolutional neural network (CNN) is able to make full use of the spatial 3D context information of lung nodules, and the multi-view strategy has been shown to be useful for improving the performance of 2D CNN in classifying lung nodules. In this
Guixia Kang +3 more
doaj +1 more source
<p>This project is aimed to provide the implementation for Speaker Verification (SR) by using 3D convolutional neural networks following the SR protocol.</p ...
Amirsina Torfi
core +1 more source
VoxRec : hybrid convolutional neural network for active 3D object recognition [PDF]
Deep Neural Network methods have been used to a variety of challenges in automatic 3D recognition. Although discovered techniques provide many advantages in comparison with conventional methods, they still suffer from different drawbacks, e.g., a large ...
Li, P +11 more
core +1 more source
Non-rigid 3D Model Classification Using 3D Hahn Moment Convolutional Neural Networks [PDF]
International audienceIn this paper, we propose a new architecture of 3D deep neural network called 3D Hahn Moments Convolutional Neural Network (3D HMCNN) to enhance the classification accuracy and reduce the computational complexity of a 3D pattern ...
Hammouchi, H +5 more
core +2 more sources

