Results 31 to 40 of about 552,282 (301)

ROLLING BEARING FAULT DIAGNOSIS BASED ON FUSION CNN AND PSO-SVM

Jixie qiangdu, 2021
Aiming at the problem that it is difficult to extract subtle fault features in the process of rolling bearing fault identification,this paper proposes a rolling bearing fault diagnosis method based on fusion convolutional neural network and support ...
WANG YongDing, JIN ZiQi
doaj  

Pointwise Convolutional Neural Networks [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
10 pages, 6 figures, 10 tables.
Binh-Son Hua, Sai-Kit Yeung, Minh-Khoi Tran   +2 more
openaire   +3 more sources

Addressing Item-Cold Start Problem in Recommendation Systems using Model Based Approach and Deep Learning

, 2017
Traditional recommendation systems rely on past usage data in order to generate new recommendations. Those approaches fail to generate sensible recommendations for new users and items into the system due to missing information about their past ...
A Rajaraman, D Stojanovski, F Ricci, G Cormode, R Collobert   +4 more
core   +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
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Three Dimensional Image Reconstruction of Electrical Capacitance Tomography Based on Improved ALEXNET Convolutional Neural Network

Journal of Harbin University of Science and Technology, 2020
A method is proposed that the corresponding AlexNet neural network is trained according to the data of different flow patterns for the problem of slow sample training and low imaging accuracy for the threedimensional image reconstruction algorithm of ...
LI Yan, WANG Lu, LI Jiaqi
doaj   +1 more source

Optical Diffractive Convolutional Neural Networks Implemented in an All-Optical Way

Sensors, 2023
Optical neural networks can effectively address hardware constraints and parallel computing efficiency issues inherent in electronic neural networks. However, the inability to implement convolutional neural networks at the all-optical level remains a ...
Yaze Yu, Yang Cao, Gong Wang, Yajun Pang, Liying Lang   +4 more
doaj   +1 more source

Long Short-Term Memory Spatial Transformer Network

, 2019
Spatial transformer network has been used in a layered form in conjunction with a convolutional network to enable the model to transform data spatially.
Chen, Tianyue, Feng, Shiyang, Sun, Hao
core   +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

Test-object recognition in thermal images [PDF]

Компьютерная оптика, 2019
The paper presents a comparative analysis of several methods for recognition of test-object position in a thermal image when setting and testing characteristics of thermal image channels in an automated mode.
Aleksandr Mingalev, Andrey Belov, Ildar Gabdullin, Regina Agafonova, Sergey Shusharin   +4 more
doaj   +1 more source

IMPLEMENTATION OF TECHNOLOGY FOR IMPROVING THE QUALITY OF SEGMENTATION OF MEDICAL IMAGES BY SOFTWARE ADJUSTMENT OF CONVOLUTIONAL NEURAL NETWORK HYPERPARAMETERS

Information and Telecommunication Sciences, 2023
Background. The scientists have built effective convolutional neural networks in their research, but the issue of optimal setting of the hyperparameters of these neural networks remains insufficiently researched.
Дмитро Прочухан
doaj   +1 more source