Results 51 to 60 of about 42,190 (170)

Nonreference Image Quality Evaluation Algorithm Based on Wavelet Convolutional Neural Network and Information Entropy

Entropy, 2019
The image quality evaluation method, based on the convolutional neural network (CNN), achieved good evaluation performance. However, this method can easily lead the visual quality of image sub-blocks to change with the spatial position after the image is
Jinhua Liu, Mulian Xu, Xinye Xu, Yuanyuan Huang   +3 more
doaj   +1 more source

Modified particle swarm optimization (MPSO) optimized CNN’s hyperparameters for classification

IJAIN (International Journal of Advances in Intelligent Informatics)
This paper proposes a convolutional neural network architectural design approach using the modified particle swarm optimization (MPSO) algorithm. Adjusting hyper-parameters and searching for optimal network architecture from convolutional neural networks
Murinto Murinto, Sri Winiarti
doaj   +1 more source

Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis

Shock and Vibration, 2020
It is crucial to carry out the fault diagnosis of rotating machinery by extracting the features that contain fault information. Many previous works using a deep convolutional neural network (CNN) have achieved excellent performance in finding fault ...
Chao Fu, Qing Lv, Hsiung-Cheng Lin
doaj   +1 more source

A Method of Forecasting Thunderstorms and Gale Weather Based on Multisource Convolution Neural Network

IEEE Access, 2019
The local thunderstorms and gale weather occurring frequently has brought huge losses to the agriculture and transportation industries. This paper presents a method of forecasting the local thunderstorms and gale weather, in which a multisource ...
Yanping Jiang, Jinliang Yao, Zheng Qian
doaj   +1 more source

H. pylori Related Atrophic Gastritis Detection Using Enhanced Convolution Neural Network (CNN) Learner. [PDF]

Diagnostics (Basel), 2023
Yacob YM, Alquran H, Mustafa WA, Alsalatie M, Sakim HAM, Lola MS.   +5 more
europepmc   +1 more source

Gender Classification Using a Convolutional Neural Network (CNN)

Abstract The purpose of this paper is to demonstrate an innovative convolutional neural network (also known as CNN) methodology for real-time categorization of gender via face photos. The suggested CNN architecture boasts much reduced computational complexity than the current methodologies used in pattern recognition applications.
Vyshnavi, Cherukuri, Homitha, Nookala Sai, Vasavi, Balabhadra, Bhavana, Mareedu, Bulla, Suneetha   +4 more
openaire   +2 more sources

A Dilated CNN Model for Image Classification

IEEE Access, 2019
The dilated convolution algorithm, which is widely used for image segmentation, is applied in the image classification field in this paper. In many traditional image classification algorithms, convolution neural network (CNN) plays an important role ...
Xinyu Lei, Hongguang Pan, Xiangdong Huang   +2 more
doaj   +1 more source

Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? [PDF]

J Digit Imaging, 2022
Hu S, Zhu Y, Dong D, Wang B, Zhou Z, Wang C, Tian J, Peng Y.   +7 more
europepmc   +1 more source

TI-CNN: Convolutional Neural Networks for Fake News Detection

CoRR, 2018
With the development of social networks, fake news for various commercial and political purposes has been appearing in large numbers and gotten widespread in the online world. With deceptive words, people can get infected by the fake news very easily and will share them without any fact-checking.
Yang Yang 0122, Lei Zheng 0001, Jiawei Zhang 0001, Qingcai Cui, Zhoujun Li 0001, Philip S. Yu   +5 more
openaire   +2 more sources

Application of Convolution Neural Network (CNN) Model Combined with Pyramid Algorithm in Aerobics Action Recognition. [PDF]

Comput Intell Neurosci, 2021
Liang Q.
europepmc   +1 more source