Visual Explainable Convolutional Neural Network for Aerodynamic Coefficient Prediction by Yanxuan Zhao, Chengwen Zhong, Fang Wang, Yueqing Wang

“…In this paper, a novel neural network is proposed to predict the aerodynamic forces of airfoils. …”
Get full text

A Convolutional Neural Network for Nonrigid Structure from Motion by Yaming Wang, Xiangyang Peng, Wenqing Huang, Meiliang Wang

“…In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network. …”
Get full text

Swimming Training Evaluation Method Based on Convolutional Neural Network by Lei Zhang, Wei Liu

“…The results of the study showed that there were no significant differences in fat, minerals, protein, body mass index, basal metabolic rate, and total energy expenditure in the body composition ratios of children in the convolutional neural network assessment group and the control group, while muscle and total body water were not significantly different. …”
Get full text

Static Hand Gesture Recognition Based on Convolutional Neural Networks by Raimundo F. Pinto, Carlos D. B. Borges, Antônio M. A. Almeida, Iális C. Paula

“…Training and testing are performed with different convolutional neural networks, compared with architectures known in the literature and with other known methodologies. …”
Get full text

A Hardware Accelerator for the Inference of a Convolutional Neural network by Edwin González, Walter D. Villamizar Luna, Carlos Augusto Fajardo Ariza

“… Convolutional Neural Networks (CNNs) are becoming increasingly popular in deep learning applications, e.g. image classification, speech recognition, medicine, to name a few. …”
Get full text

Application of convolutional neural networks in the intelligence security system subsystem by V. S. Demeshko, A. I. Фёдоров

Subjects: Get full text

Image generation classification method based on convolution neural network by Qiao-ling LI, Qing-xiao GUAN, Xian-feng ZHAO

Subjects: “…convolution neural network…”
Get full text

Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks by Weijian Liu, Haoyuan Chang, Yang Xiao, Shuisheng Yu, Chuanbo Huang, Yuntian Yao

“…A U-net model to detect the arrival time of seismic waves is constructed based on the convolutional neural network (CNN) theory. The original data for 1555 segments and synthetic data of 7764 segments were detected using Akaike’s information criterion (AIC) algorithm, the time window energy eigenvalue algorithm, and the U-net model. …”
Get full text

Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification by Yunfei Han, Tonghai Jiang, Yupeng Ma, Chunxiang Xu

“…In this paper, an approach based on convolutional neural networks (CNNs) has been applied for vehicle classification. …”
Get full text

Predicting species distributions in the open ocean with convolutional neural networks by Morand, Gaétan, Joly, Alexis, Rouyer, Tristan, Lorieul, Titouan, Barde, Julien

“…In this study, we propose a new method that leverages deep learning, specifically convolutional neural networks (CNNs), to capture spatial features of environmental variables. …”
Get full text

Dog recognition in public places based on convolutional neural network by Jianquan Ouyang, Hao He, Yi He, Huanrong Tang

“…In view of this, we propose a novel algorithm that combines dense–scale invariant feature transform and convolutional neural network to solve dog recognition problems in public places. …”
Get full text

AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

Subjects: “…multimodal, biometric system, convolutional neural network…”
Get full text

Polar codes decoding algorithm based on convolutional neural network by Rui GUO, Fanchun RAN

“…In order to solve the problem that the existing Polar code decoding algorithm based on neural network can only decode short codewords (codewords length N≤64),a new decoding algorithm using convolution neural network for long codewords (N≥512) was put forward.Instead of using a fixed drawn from the data sample proportion as training set and test set,the neural network parameters epoch and batch were used to control the neural network input,and the data explosion problem caused by the long codewords was solved.In addition,the influence of batch and epoch parameters on the decoding performance of convolution neural network was explored and the performance difference of neural network using different activation functions were investigated.Simulation results show that with the traditional SCL (successive cancellation list,L=2) decoding algorithm,convolution neural network in low signal-to-noise ratio on the performance is better than that of SCL (L=2),in high signal-to-noise ratio and SCL (L=2) algorithm of similar performance,and the larger the training data set,the better the decoding performance of neural network.…”
Get full text

Automated Stellar Spectra Classification with Ensemble Convolutional Neural Network by Zhuang Zhao, Jiyu Wei, Bin Jiang

“…We designed six classifiers which consist six different convolutional neural networks (CNN), respectively, to recognize the spectra in DR16. …”
Get full text

Classification of Melanoma Cancer Using Deep Convolutional Neural Networks by Emrah Dönmez, Ali Güneş

“…This study investigates the application of machine learning techniques to diagnose skin lesions, focusing on differentiating between benign moles and malignant melanoma. A Convolutional Neural Network (CNN) model was developed to explore machine learning's efficacy in this context. …”
Get full text

Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

Subjects: Get full text

Detection and Classification of Sporadic E Using Convolutional Neural Networks by J. A. Ellis, D. J. Emmons, M. B. Cohen

Subjects: Get full text

Vehicle detection based on SqueezeNet convolutional neural network by Zefa WEI, Hua CUI

Subjects: Get full text

Convolutional Neural Networks for Software Defect Categorization: An Empirical Validation by Ruchika Malhotra, Madhukar Cherukuri

“…Leveraging the prevailing advancements in computational power and storage capacity, the study present a novel defect categorization model built upon Convolutional Neural Networks (CNNs). Extensive experiments were carried out on defect datasets from five Android operating system application modules, leading to the creation of 60 SDC models (5 datasets x 4 feature sets x 3 approaches). …”
Get full text

Speech Separation Using Convolutional Neural Network and Attention Mechanism by Chun-Miao Yuan, Xue-Mei Sun, Hu Zhao

“…This paper proposes a speech separation model based on convolutional neural networks and attention mechanism. …”
Get full text