Ultrasonic Signal Classification and Porosity Testing for CFRP Materials Via Artificial Neural Network

Ultrasonic Signal ◽

Signal Classification ◽

Disbond detection through ultrasonic signal classification using an artificial neural network

IJCNN-91-Seattle International Joint Conference on Neural Networks ◽

10.1109/ijcnn.1991.155493 ◽

2002 ◽

Author(s):

D.R. Prabhu ◽

M.N. Abedin ◽

W.P. Winfree ◽

E.I. Madaras

Keyword(s):

Neural Network ◽

Ultrasonic Signal ◽

Signal Classification ◽

Disbond Detection ◽

VHDL Modeling of EMG Signal Classification using Artificial Neural Network

Journal of Applied Sciences ◽

10.3923/jas.2012.244.253 ◽

2012 ◽

Vol 12 (3) ◽

pp. 244-253 ◽

Cited By ~ 3

Author(s):

M.R. Ahsan ◽

M.I. Ibrahimy ◽

O.O. Khalifa ◽

M.H. Ullah

Keyword(s):

Neural Network ◽

Signal Classification ◽

Emg Signal ◽

Electroencephalogram (EEG) Signal Classification Using Artificial Neural Network to Control Electric Artificial Hand Movement

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/938/1/012005 ◽

2020 ◽

Vol 938 ◽

pp. 012005

Author(s):

A S Saragih ◽

A Pamungkas ◽

B Y Zain ◽

W Ahmed

Keyword(s):

Neural Network ◽

Hand Movement ◽

Signal Classification ◽

Eeg Signal ◽

Eeg Signal Classification ◽

Artificial Neural ◽

Artificial Hand ◽

Electroencephalogram Eeg

10th International Conference on Robotics, Vision, Signal Processing and Power Applications - Lecture Notes in Electrical Engineering ◽

Artificial Neural Network Application for Damages Classification in Fibreglass Pre-impregnated Laminated Composites (FGLC) from Ultrasonic Signal

10.1007/978-981-13-6447-1_72 ◽

2019 ◽

pp. 567-573 ◽

Cited By ~ 1

Author(s):

M. F. Mahmod ◽

Elmi Abu Bakar ◽

Raiminor Ramzi ◽

Mohd Azhar Harimon ◽

N. Abdul Latif ◽

...

Keyword(s):

Neural Network ◽

Laminated Composites ◽

Ultrasonic Signal ◽

Network Application ◽

Inventive Computation and Information Technologies - Lecture Notes in Networks and Systems ◽

Artificial Neural Network-Based ECG Signal Classification and the Cardiac Arrhythmia Identification

10.1007/978-981-33-4305-4_34 ◽

2021 ◽

pp. 445-461

Author(s):

M. Ramkumar ◽

C. Ganesh Babu ◽

G. S. Priyanka ◽

B. Maruthi Shankar ◽

S. Gokul Kumar ◽

...

Keyword(s):

Neural Network ◽

Cardiac Arrhythmia ◽

Signal Classification ◽

Ecg Signal ◽

2017 15th International Conference on Quality in Research (QiR) : International Symposium on Electrical and Computer Engineering ◽

Relative wavelet bispectrum feature for alcoholic EEG signal classification using artificial neural network

10.1109/qir.2017.8168473 ◽

2017 ◽

Cited By ~ 1

Author(s):

Prima Dewi Purnamasari ◽

Anak Agung Putri Ratna ◽

Benyamin Kusumoputro

Keyword(s):

Neural Network ◽

Signal Classification ◽

Eeg Signal ◽

Eeg Signal Classification ◽

Proceedings of the 1st International Conference on Electronics, Biomedical Engineering, and Health Informatics - Lecture Notes in Electrical Engineering ◽

Time Domain Features for EEG Signal Classification of Four Class Motor Imagery Using Artificial Neural Network

10.1007/978-981-33-6926-9_53 ◽

2021 ◽

pp. 605-612

Author(s):

Rahmat Widadi ◽

Dodi Zulherman ◽

S. Rama Febriyan Ari

Keyword(s):

Neural Network ◽

Motor Imagery ◽

Time Domain ◽

Signal Classification ◽

Eeg Signal ◽

Eeg Signal Classification ◽

2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF) ◽

An Artificial Neural Network approach for electroencephalographic signal classification towards brain-computer interface implementation

10.1109/rivf.2016.7800295 ◽

2016 ◽

Cited By ~ 4

Author(s):

Nguyen The Hoang Anh ◽

Tran Huy Hoang ◽

Do Tien Dung ◽

Vu Tat Thang ◽

T.T. Quyen Bui

Keyword(s):

Neural Network ◽

Artificial Neural Network Approach

Brain Computer Interface ◽

Signal Classification ◽

Computer Interface ◽

Network Approach ◽

Neural Network Approach ◽

Artificial Neural ◽

A comparative study of conventional and artificial neural network classifiers for eddy current signal classification

NDT & E International ◽

10.1016/s0963-8695(97)82579-0 ◽

1997 ◽

Vol 30 (3) ◽

pp. 173

Keyword(s):

Neural Network ◽

Comparative Study ◽

Eddy Current ◽

Signal Classification ◽

Current Signal ◽

Artificial Neural ◽

Neural Network Classifiers

Signal Classification Using Feature Extraction Techniques and Artificial Neural Network in Underwater Acoustic Environment

Magnetic Communications ◽

10.1201/9781315156477-13 ◽

2018 ◽

pp. 189-190

Author(s):

Mehdi Shadloo-Jahromi ◽

Mohammad Reza Khosravi ◽

Habib Rostami

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Signal Classification ◽

Extraction Techniques ◽

Underwater Acoustic ◽

Acoustic Environment ◽