A pressure sensing system using fiber optic sensors and artificial neural networks

Fiber Optic ◽

Fiber Optic Sensors ◽

Pressure Sensing ◽

Sensing System ◽

Smart Structures Incorporating Artificial Neural Networks, Fiber-Optic Sensors, And Solid-State Actuators

10.1117/12.963108 ◽

1990 ◽

Cited By ~ 1

Author(s):

Michael H. Thursby ◽

Barry G. Grossman ◽

Tino Alavie ◽

K.-S. Yoo

Keyword(s):

Neural Networks ◽

Solid State ◽

Fiber Optic ◽

Smart Structures ◽

Fiber Optic Sensors ◽

Performance assessment of prestressed concrete bridge girders using fiber optic sensors and artificial neural networks

Structure and Infrastructure Engineering ◽

10.1080/15732479.2020.1759658 ◽

2020 ◽

pp. 1-15

Author(s):

Omid Khandel ◽

Mohamed Soliman ◽

Royce W. Floyd ◽

Cameron D. Murray

Keyword(s):

Neural Networks ◽

Performance Assessment ◽

Prestressed Concrete ◽

Fiber Optic ◽

Fiber Optic Sensors ◽

Bridge Girders ◽

Concrete Bridge ◽

Artificial Neural ◽

Prestressed Concrete Bridge

Dispersion compensation of fiber optic communication system with direct detection using artificial neural networks (ANNs)

Optics Communications ◽

10.1016/j.optcom.2017.06.047 ◽

2018 ◽

Vol 409 ◽

pp. 109-116 ◽

Cited By ~ 2

Author(s):

Mahmoud M.T. Maghrabi ◽

Shiva Kumar ◽

Mohamed H. Bakr

Keyword(s):

Neural Networks ◽

Communication System ◽

Fiber Optic ◽

Direct Detection ◽

Dispersion Compensation ◽

Fiber Optic Communication ◽

Artificial Neural ◽

Optic Communication

Rapeseed seeds quality classification with usage of VIS-NIR fiber optic probe and artificial neural networks

2016 International Conference on Optoelectronics and Image Processing (ICOIP) ◽

10.1109/optip.2016.7528517 ◽

2016 ◽

Author(s):

Tomasz Wojciechowski ◽

Gniewko Niedbala ◽

Miroslaw Czechlowski ◽

Janina Rudowicz Nawrocka ◽

Leszek Piechnik ◽

...

Keyword(s):

Neural Networks ◽

Fiber Optic ◽

Fiber Optic Probe ◽

Quality Classification ◽

Artificial Neural ◽

Optic Probe

Use of Artificial Neural Networks for improving fiber optic microbend sensor performance

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596462 ◽

2010 ◽

Author(s):

H. S. Efendioglu ◽

T. Yildirim ◽

K. Fidanboylu

Keyword(s):

Neural Networks ◽

Fiber Optic ◽

Sensor Performance ◽

Intelligent fiber optic statistical mode sensors using novel features and artificial neural networks

10.1117/12.2009836 ◽

2013 ◽

Cited By ~ 1

Author(s):

Hasan Seckin Efendioglu ◽

Onur Toker ◽

Tulay Yildirim ◽

Kemal Fidanboylu

Keyword(s):

Neural Networks ◽

Fiber Optic ◽

Artificial Neural ◽

Statistical Mode

2012 International Symposium on Innovations in Intelligent Systems and Applications ◽

Design of intelligent fiber optic statistical mode sensors using novel features and artificial neural networks

10.1109/inista.2012.6247006 ◽

2012 ◽

Cited By ~ 4

Author(s):

H. S. Efendioglu ◽

T. Yildirim ◽

O. Toker ◽

K. Fidanboylu

Keyword(s):

Neural Networks ◽

Fiber Optic ◽

Artificial Neural ◽

Statistical Mode

Modulation format identification in heterogeneous fiber-optic networks using artificial neural networks and genetic algorithms

Photonic Network Communications ◽

10.1007/s11107-016-0606-7 ◽

2016 ◽

Vol 32 (2) ◽

pp. 246-252 ◽

Cited By ~ 10

Author(s):

Shuting Zhang ◽

Yingqing Peng ◽

Qi Sui ◽

Jianping Li ◽

Zhaohui Li

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Fiber Optic ◽

Modulation Format ◽

Artificial Neural ◽

Fiber Optic Networks

A fiber optic sensor for the measurement of surface roughness and displacement using artificial neural networks

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/19.650796 ◽

1997 ◽

Vol 46 (4) ◽

pp. 899-902 ◽

Cited By ~ 33

Author(s):

K. Zhang ◽

C. Butler ◽

Q. Yang ◽

Y. Lu

Keyword(s):

Neural Networks ◽

Surface Roughness ◽

Fiber Optic ◽

Fiber Optic Sensor ◽

Optic Sensor ◽

Use of Artificial Neural Networks for prediction of output response of fiber optic microbend sensors

2010 IEEE 18th Signal Processing and Communications Applications Conference ◽

10.1109/siu.2010.5653974 ◽

2010 ◽

Author(s):

H. S. Efendioglu ◽

T. Yildirim ◽

K. Fidanboylu

Keyword(s):

Neural Networks ◽

Fiber Optic ◽

Output Response ◽