Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kazi Mahmudul Hassan"'
Autor:
Abdullah Al Shiam, Kazi Mahmudul Hassan, Md. Rabiul Islam, Ahmed M. M. Almassri, Hiroaki Wagatsuma, Md. Khademul Islam Molla
Publikováno v:
Brain Sciences, Vol 14, Iss 5, p 462 (2024)
Electroencephalography (EEG) is effectively employed to describe cognitive patterns corresponding to different tasks of motor functions for brain–computer interface (BCI) implementation. Explicit information processing is necessary to reduce the co
Externí odkaz:
https://doaj.org/article/ef28a4aa8cb84e63bb3e97289c552398
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Sensors, Vol 20, Iss 16, p 4639 (2020)
Epileptic seizure is a sudden alteration of behavior owing to a temporary change in the electrical functioning of the brain. There is an urgent demand for an automatic epilepsy detection system using electroencephalography (EEG) for clinical applicat
Externí odkaz:
https://doaj.org/article/b5f258554f1b4f528b2830d156457a00
Publikováno v:
Expert Systems with Applications. 193:116414
Publikováno v:
Sensors
Volume 20
Issue 16
Sensors, Vol 20, Iss 4639, p 4639 (2020)
Sensors (Basel, Switzerland)
Volume 20
Issue 16
Sensors, Vol 20, Iss 4639, p 4639 (2020)
Sensors (Basel, Switzerland)
Epileptic seizure is a sudden alteration of behavior owing to a temporary change in the electrical functioning of the brain. There is an urgent demand for an automatic epilepsy detection system using electroencephalography (EEG) for clinical applicat
Publikováno v:
CW
Electroencephalography (EEG) is considered as a potential tool for diagnosis of epilepsy in clinical applications. Epileptic seizures occur irregularly and unpredictably. Its automatic detection in EEG recordings is highly demanding. In this work, mu
Publikováno v:
Rajshahi University Journal of Science and Engineering. 44:141-150
This study proposed an enhanced time-frequency representation of audio signal using EMD-2TEMD based approach. To analyze non-stationary signal like audio, timefrequency representation is an important aspect. In case of representing or analyzing such
Publikováno v:
Science Journal of Circuits, Systems and Signal Processing. 6:11
This paper presents a voiced/unvoiced classification algorithm of the noisy speech signal by analyzing two acoustic features of the speech signal. Short-time energy and short-time zero- crossing rates are one of the most distinguishable time domain f
Autor:
Shiam, Abdullah Al1 (AUTHOR) shiam.cse@shu.edu.bd, Hassan, Kazi Mahmudul2 (AUTHOR) kmhassan@jkkniu.edu.bd, Islam, Md. Rabiul3 (AUTHOR) rabiul@sip.tuat.ac.jp, Almassri, Ahmed M. M.4 (AUTHOR) almassri@pu-toyama.ac.jp, Wagatsuma, Hiroaki5 (AUTHOR) waga@brain.kyutech.ac.jp, Molla, Md. Khademul Islam6 (AUTHOR) khademul.cse@ru.ac.bd
Publikováno v:
Brain Sciences (2076-3425). May2024, Vol. 14 Issue 5, p462. 17p.
Publikováno v:
Health & Medicine Week; 5/24/2024, p6507-6507, 1p