Results 81 to 90 of about 1,718,101 (355)

Symplectic convolutional neural networks

CoRR
We propose a new symplectic convolutional neural network (CNN) architecture by leveraging symplectic neural networks, proper symplectic decomposition, and tensor techniques. Specifically, we first introduce a mathematically equivalent form of the convolution layer and then, using symplectic neural networks, we demonstrate a way to parameterize the ...
Yildiz, S., Janik, K., Benner, P. ; https://orcid.org/0000-0003-3362-4103   +2 more
openaire   +3 more sources

Irregular Convolutional Neural Networks [PDF]

2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 2017
7 pages, 5 figures, 3 ...
Jiabin Ma, Wei Wang 0115, Liang Wang 0001   +2 more
openaire   +2 more sources

Application of Deep Learning in the Prediction of Benign and Malignant Thyroid Nodules on Ultrasound Images

IEEE Access, 2020
In this paper, ultrasound imaging of benign and malignant thyroid nodules to predict the depth of the learning algorithm, built on circulation volume product thyroid ultrasound image neural network forecasting model.
Yinghui Lu, Yi Yang, Wan Chen
doaj   +1 more source

Clickbait Convolutional Neural Network [PDF]

Symmetry, 2018
With the development of online advertisements, clickbait spread wider and wider. Clickbait dissatisfies users because the article content does not match their expectation. Thus, clickbait detection has attracted more and more attention recently. Traditional clickbait-detection methods rely on heavy feature engineering and fail to distinguish clickbait ...
Hai-Tao Zheng 0002, Jin-Yuan Chen, Xin Yao, Arun Kumar Sangaiah, Yong Jiang 0001, Cong-Zhi Zhao   +5 more
openaire   +1 more source

Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

, 2019
This paper designs a hybridized deep learning framework that integrates the Convolutional Neural Network for pattern recognition with the Long Short-Term Memory Network for half-hourly global solar radiation (GSR) forecasting.
Deo, Ravinesh C., Ghimire, Sujan, Mi, Jianchun, Raj, Nawin   +3 more
core   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Application of a Hybrid Model Based on a Convolutional Auto-Encoder and Convolutional Neural Network in Object-Oriented Remote Sensing Classification

Algorithms, 2018
Variation in the format and classification requirements for remote sensing data makes establishing a standard remote sensing sample dataset difficult. As a result, few remote sensing deep neural network models have been widely accepted.
Wei Cui, Qi Zhou, Zhendong Zheng
doaj   +1 more source

Deep Convolutional Neural Network Algorithm for Prediction of the Mechanical Properties of Friction Stir Welded Copper Joints from its Microstructures

, 2021
Convolutional Neural Network (CNN) is a special type of Artificial Neural Network which takes input in the form of an image. Like Artificial Neural Network they consist of weights that are estimated during training, neurons (activation functions), and an
Asmita, Suman, Akshansh, Mishra
core   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Miners' facial expression recognition method based on convolutional neural network

Gong-kuang zidonghua, 2018
In view of problems of low recognition rate and complex algorithm of traditional miner's facial expression recognition methods, based on convolutional neural network and combining with nonlinear mapping function in support vector machine algorithm, a ...
DU Yun, ZHANG Lulu, PAN Tao
doaj   +1 more source