Nasolabial Folds Extraction based on Neural Network for the Quantitative Analysis of Facial Paralysis

In this paper, a method for GIS equipment fault diagnosis by the analysis of volume fractions of the derivatives of SF6 gas inside GIS equipment is presented. For the method, based on the differential spectra method, a neural network model and the particle swarm optimization are used for training analysis of infrared spectra, to realize the quantitative analysis of specific derivatives. The experimental results show that the prediction errors obtained by particle swarm optimization training are markedly superior to prediction errors obtained using the traditional method.

Download Full-text

BP Neural Network based on Dropout Applied to the EDXRF Quantitative Analysis of Heavy Metal Elements

Proceedings of the 3rd International Conference on Computer Science and Application Engineering - CSAE 2019 ◽

10.1145/3331453.3361640 ◽

2019 ◽

Author(s):

Fei Li ◽

Qian Hu ◽

Xiaoqiang Xu ◽

Liangquan Ge ◽

Xu Tang ◽

...

Keyword(s):

Neural Network ◽

Heavy Metal ◽

Quantitative Analysis ◽

Bp Neural Network ◽

Metal Elements ◽

Heavy Metal Elements

Download Full-text

Quantitative Analysis and Identification Improvement in Laser-Induced Breakdown Spectroscopy by Self-Absorption Correction and Artificial Neural Network

IEEE Transactions on Plasma Science ◽

10.1109/tps.2021.3123434 ◽

2021 ◽

pp. 1-7

Author(s):

A. H. Farhadian ◽

S. S. Mousavi Fard

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Quantitative Analysis ◽

Laser Induced Breakdown Spectroscopy ◽

Breakdown Spectroscopy ◽

Absorption Correction ◽

Laser Induced Breakdown ◽

Artificial Neural

Download Full-text

Quantitative analysis of facial paralysis based on three-dimensional features

2016 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2016.7532572 ◽

2016 ◽

Cited By ~ 5

Author(s):

Truc Hung Ngo ◽

Yen-Wei Chen ◽

Masataka Seo ◽

Naoki Matsushiro ◽

Wei Xiong

Keyword(s):

Quantitative Analysis ◽

Facial Paralysis ◽

Three Dimensional

Download Full-text

Quantitative analysis of Fundus Image Enhancement in the Detection of Diabetic Retinopathy Using Deep Convolutional Neural Network

IETE Journal of Research ◽

10.1080/03772063.2021.1997356 ◽

2021 ◽

pp. 1-11

Author(s):

R. Alaguselvi ◽

Kalpana Murugan

Keyword(s):

Neural Network ◽

Diabetic Retinopathy ◽

Quantitative Analysis ◽

Convolutional Neural Network ◽

Image Enhancement ◽

Deep Convolutional Neural Network ◽

Fundus Image

Download Full-text

Prognostic value of a three-dimensional dynamic quantitative analysis system to measure facial motion in acute facial paralysis patients

Head & Face Medicine ◽

10.1186/s13005-020-00230-6 ◽

2020 ◽

Vol 16 (1) ◽

Author(s):

Yang Zhao ◽

Guodong Feng ◽

Haiyan Wu ◽

Surita Aodeng ◽

Xu Tian ◽

...

Keyword(s):

Quantitative Analysis ◽

Facial Paralysis ◽

Prognostic Value ◽

Three Dimensional ◽

Facial Motion ◽

Analysis System

Download Full-text

Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network

IEEE Access ◽

10.1109/access.2019.2893927 ◽

2019 ◽

Vol 7 ◽

pp. 16257-16263 ◽

Cited By ~ 4

Author(s):

Nianyin Zeng ◽

Han Li ◽

Yurong Li ◽

Xin Luo

Keyword(s):

Neural Network ◽

Quantitative Analysis ◽

Convolutional Neural Network ◽

Immunochromatographic Strip

Download Full-text

Precise Quantitative Analysis of Cell Targeting by Particle‐Based Agents Using Imaging Flow Cytometry and Convolutional Neural Network

Cytometry Part A ◽

10.1002/cyto.a.23939 ◽

2019 ◽

Vol 97 (3) ◽

pp. 279-287 ◽

Cited By ~ 5

Author(s):

Elizaveta N. Mochalova ◽

Ivan A. Kotov ◽

Julian M. Rozenberg ◽

Maxim P. Nikitin

Keyword(s):

Neural Network ◽

Flow Cytometry ◽

Quantitative Analysis ◽

Convolutional Neural Network ◽

Cell Targeting ◽

Imaging Flow Cytometry

Download Full-text

DATA FUSION OF ROBOT WRIST FORCES BASED ON FINGER FORCE SENSORS AND MLF NEURAL NETWORK

International Journal of Information Acquisition ◽

10.1142/s0219878905000507 ◽

2005 ◽

Vol 02 (02) ◽

pp. 101-111

Author(s):

LI-BIAO TONG ◽

WEN-JUN LU ◽

XIN HONG ◽

TAO MEI ◽

KE-JUN XU

Keyword(s):

Neural Network ◽

Quantitative Analysis ◽

Data Fusion ◽

Sensor Fusion ◽

Robot Control ◽

Experimental Results ◽

Force Sensors ◽

Finger Force ◽

Fusion Methods ◽

Robot Wrist

Quantitative analysis of wrist forces for robot grippers is an important issue for robot control and operation safety. An approach is proposed to deduce the wrist forces from distributed force sensors in the robot fingers. A multi-layer forward (MLF) neural network is designed to fuse the data from finger force sensors. The experimental results demonstrate that the maximum deducing error of the wrist forces is decreased to 4.8% from 18.7% comparing with previous sensor fusion methods.

Download Full-text

Research of Construction Subcontracting Enterprise Competence Based on GA-BP Neural Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1030-1032.2664 ◽

2014 ◽

Vol 1030-1032 ◽

pp. 2664-2667

Author(s):

Xi Kang Yan ◽

Jing Yu Wang

Keyword(s):

Neural Network ◽

Quantitative Analysis ◽

Bp Neural Network ◽

Simulation Analysis ◽

Evaluation Index System ◽

Evaluation Index ◽

Matlab Simulation ◽

Five Dimensions ◽

Enterprise Competence ◽

Bp Neural Network Model

A new evaluation index system, which includes five dimensions is put forward to evaluate the competitiveness of construction subcontracting enterprise properly. Based on GA optimized BP neural network model,construction subcontracting enterprises’ competitiveness can be quantitative analysis systematically. Use of Matlab simulation analysis,research has shown that this system can well solve the problem of construction subcontracting enterprise competitiveness evaluation.

Download Full-text