Results 1 to 10 of about 107,802 (117)

Application of Convolutional Neural Network (CNN) to Recognize Ship Structures. [PDF]

Sensors (Basel), 2022
Lim JJ, Kim DW, Hong WH, Kim M, Lee DH, Kim SY, Jeong JH.   +6 more
europepmc   +2 more sources

Optimization of Trash Identification on the House Compound Using a Convolutional Neural Network (CNN) and Sensor System. [PDF]

Sensors (Basel), 2023
Naf'an E, Sulaiman R, Ali NM.
europepmc   +2 more sources

Chinese fingerspelling sign language recognition using a nine-layer convolutional neural network [PDF]

EAI Endorsed Transactions on e-Learning, 2021
INTRODUCTION: Sign language is a form of communication and exchange of ideas by people who are hearing-impaired or unable to speak.
Ya Gao, Chengchong Jia, Hongli Chen, Xianwei Jiang   +3 more
doaj   +1 more source

A noise robust convolutional neural network for image classification

Results in Engineering, 2021
Convolutional Neural Networks (CNNs) are extensively used for image classification. Noisy images reduce the classification performance of convolutional neural networks and increase the training time of the networks.
Mohammad Momeny, Ali Mohammad Latif, Mehdi Agha Sarram, Razieh Sheikhpour, Yu Dong Zhang   +4 more
doaj   +1 more source

Klasifikasi Penyakit Mata Menggunakan Convolutional Neural Network (CNN)

Sistemasi: Jurnal Sistem Informasi, 2021
Abstrak Gangguan pada mata atau disebut juga penyakit mata adalah suatu kondisi yang mampu mempengaruhi jangka waktu hidup bagi sebagian orang. Gangguan mata atau penyakit mata banyak sekali jenisnya, diantaranya yaitu katarak, glaukoma dan retina ...
Fani Nurona Cahya, Nila Hardi, Dwiza Riana, sri hadiyanti   +3 more
doaj   +1 more source

Research on improved convolutional wavelet neural network

Scientific Reports, 2021
Artificial neural networks (ANN) which include deep learning neural networks (DNN) have problems such as the local minimal problem of Back propagation neural network (BPNN), the unstable problem of Radial basis function neural network (RBFNN) and the ...
Jingwei Liu, Peixuan Li, Xuehan Tang, Jiaxin Li, Jiaming Chen   +4 more
doaj   +1 more source

SAR image classification based on multi‐feature fusion decision convolutional neural network

IET Image Processing, 2022
With the success of convolutional neural network (CNN) in the field of image processing and image recognition, an improved fully convolutional neural network (FCNN) based on CNN is proposed.
Liang Guo
doaj   +1 more source

Facial Expressions Recognition for Human–Robot Interaction Using Deep Convolutional Neural Networks with Rectified Adam Optimizer

Sensors, 2020
The interaction between humans and an NAO robot using deep convolutional neural networks (CNN) is presented in this paper based on an innovative end-to-end pipeline method that applies two optimized CNNs, one for face recognition (FR) and another one for
Daniel Octavian Melinte, Luige Vladareanu   +1 more
doaj   +1 more source

A Classroom Emotion Recognition Model Based on a Convolutional Neural Network Speech Emotion Algorithm

Occupational Therapy International, 2022
In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the ...
Qinying Yuan
doaj   +1 more source

Handwritten Digits Recognition Based on Fused Convolutional Neural Network Model [PDF]

Jisuanji gongcheng, 2017
Aiming at the problem that the recognition rate of traditional handwritten digits recognition method is low,this paper proposes a Fused Convolutional Neural Network(F-CNN) model.By combining the high-level features of the Siamese Network(SN) model and ...
CHEN Xuan,ZHU Rong,WANG Zhongyuan
doaj   +1 more source