Serum Raman spectroscopy combined with a multi-feature fusion convolutional neural network diagnosing thyroid dysfunction

Optik ◽

10.1016/j.ijleo.2020.164961 ◽

2020 ◽

Vol 216 ◽

pp. 164961

Author(s):

Hao Chen ◽

Cheng Chen ◽

Hang Wang ◽

Chen Chen ◽

Zhiqi Guo ◽

...

Keyword(s):

Neural Network ◽

Raman Spectroscopy ◽

Convolutional Neural Network ◽

Thyroid Dysfunction ◽

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Classifying Breast Cancer Tissue by Raman Spectroscopy with One-dimensional Convolutional Neural Network

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2021.119732 ◽

2021 ◽

pp. 119732

Author(s):

Danying Ma ◽

Linwei Shang ◽

Jinlan Tang ◽

Yilin Bao ◽

Juanjuan Fu ◽

...

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Raman Spectroscopy ◽

Convolutional Neural Network ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

One Dimensional

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Rapid material identification via low-resolution Raman spectroscopy and deep convolutional neural network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1719/1/012081 ◽

2021 ◽

Vol 1719 (1) ◽

pp. 012081

Author(s):

S Boonsit ◽

P Kalasuwan ◽

P van Dommelen ◽

C Daengngam

Keyword(s):

Neural Network ◽

Raman Spectroscopy ◽

Convolutional Neural Network ◽

Deep Convolutional Neural Network ◽

Low Resolution ◽

Material Identification

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A Siamese convolutional neural network with high–low level feature fusion for change detection in remotely sensed images

Remote Sensing Letters ◽

10.1080/2150704x.2021.1892851 ◽

2021 ◽

Vol 12 (4) ◽

pp. 387-396

Author(s):

Hao Zhou ◽

Mi Zhang ◽

Xiangyun Hu ◽

Kun Li ◽

Jing Sun

Keyword(s):

Neural Network ◽

Change Detection ◽

Convolutional Neural Network ◽

Feature Fusion ◽

Remotely Sensed ◽

Low Level ◽

Remotely Sensed Images

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Wind power forecast based on convolutional neural network with multi-feature fusion

Journal of Physics Conference Series ◽

10.1088/1742-6596/1684/1/012134 ◽

2020 ◽

Vol 1684 ◽

pp. 012134

Author(s):

Qiyue Huang ◽

Hao Wang

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Feature Fusion ◽

Wind Power Forecast

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Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations

Journal of Intelligent Manufacturing ◽

10.1007/s10845-019-01488-7 ◽

2019 ◽

Vol 31 (4) ◽

pp. 953-966 ◽

Author(s):

Zhiwen Huang ◽

Jianmin Zhu ◽

Jingtao Lei ◽

Xiaoru Li ◽

Fengqing Tian

Keyword(s):

Neural Network ◽

Tool Wear ◽

Convolutional Neural Network ◽

Feature Fusion ◽

Deep Convolutional Neural Network ◽

Milling Operations

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Convolutional Neural Network-Gated Recurrent Unit Neural Network with Feature Fusion for Environmental Sound Classification

Automatic Control and Computer Sciences ◽

10.3103/s0146411621040106 ◽

2021 ◽

Vol 55 (4) ◽

pp. 311-318

Author(s):

Yu Zhang ◽

Jinfang Zeng ◽

Youming Li ◽

Da Chen

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Feature Fusion ◽

Environmental Sound ◽

Sound Classification ◽

Gated Recurrent Unit

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SAR Target Classification Using the Multikernel-Size Feature Fusion-Based Convolutional Neural Network

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3106915 ◽

2021 ◽

pp. 1-13

Author(s):

Jiaqiu Ai ◽

Yuxiang Mao ◽

Qiwu Luo ◽

Lu Jia ◽

Mengdao Xing

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Feature Fusion ◽

Target Classification

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SAR Ship Detection Method Based on Convolutional Neural Network and Multi-layer Feature Fusion

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-32456-8_5 ◽

2019 ◽

pp. 41-53

Author(s):

Bangzheng Yue ◽

Wenda Zhao ◽

Song Han

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Detection Method ◽

Feature Fusion ◽

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Lipreading model based on a two-way convolutional neural network and feature fusion

Journal of Electronic Imaging ◽

10.1117/1.jei.30.6.063003 ◽

2021 ◽

Vol 30 (06) ◽

Author(s):

Meili Zhu ◽

Qingqing Wang ◽

Yingying Ge

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Feature Fusion ◽

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Feature Fusion Video Target Tracking Method Based on Convolutional Neural Network

Laser & Optoelectronics Progress ◽

10.3788/lop57.041502 ◽

2020 ◽

Vol 57 (4) ◽

pp. 041502

Author(s):

刘美菊 Liu Meiju ◽

曹永战 Cao Yongzhan ◽

朱树云 Zhu Shuyun ◽

杨尚奎 Yang Shangkui

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Target Tracking ◽

Feature Fusion ◽

Tracking Method ◽

Video Target Tracking

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