Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Sh Hussain Salleh"'
Autor:
Hadri Hussain, Fuad Noman, Sh-Hussain Salleh, Hernando Ombao, S. Balqis Samdin, Chee-Ming Ting
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 24:705-716
Objective: We consider challenges in accurate segmentation of heart sound signals recorded under noisy clinical environments for subsequent classification of pathological events. Existing state-of-the-art solutions to heart sound segmentation use pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1342b706e6e3497c852bed27966be8c9
https://doi.org/10.1109/jbhi.2019.2925036
https://doi.org/10.1109/jbhi.2019.2925036
Publikováno v:
IEEE Transactions on Network Science and Engineering. 7:449-465
We consider challenges in modeling and estimating high-dimensional functional connectivity in brain networks with a large number of nodes arranged in a hierarchical and modular structure. We develop a multi-scale factor analysis (MSFA) model which pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e663c27d8b5b5c6af96c4f463742b4f7
https://doi.org/10.1109/tnse.2018.2869862
https://doi.org/10.1109/tnse.2018.2869862
Autor:
Sh Hussain Salleh, Fuad Noman, Hadri Hussain, Chee-Ming Ting, Syed Rasul bin G. Syed Hamid, Hadrina Sh-Hussain, M. A. Jalil, A. L. Ahmad Zubaidi, Syed Zuhaib Haider Rizvi, Kuryati Kipli, Kavikumar Jacob, Kanad Ray, M. Shamim Kaiser, Mufti Mahmud, Jalil Ali
Publikováno v:
Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering ISBN: 9789811675966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::961d597de19445529f3fc0131573d542
https://doi.org/10.1007/978-981-16-7597-3_44
https://doi.org/10.1007/978-981-16-7597-3_44
Publikováno v:
IEEE Transactions on Medical Imaging. 37:1011-1023
Recent studies on analyzing dynamic brain connectivity rely on sliding-window analysis or time-varying coefficient models which are unable to capture both smooth and abrupt changes simultaneously. Emerging evidence suggests state-related changes in b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::242f89a2c9173146c38e5992da137174
https://doi.org/10.1109/tmi.2017.2780185
https://doi.org/10.1109/tmi.2017.2780185
Publikováno v:
IEEE Transactions on Affective Computing. 9:102-115
This paper presents a comprehensive study on the analysis of neuromuscular signal activities to recognize 11 facial expressions for muscle computer interfacing applications. A robust denoising protocol comprised of Wavelet transform and Kalman filter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5d470c7ec538973bf4509865b739950
https://doi.org/10.1109/taffc.2016.2569098
https://doi.org/10.1109/taffc.2016.2569098
Publikováno v:
IEEE Transactions on Biomedical Engineering. 64:844-858
Objective : This paper addresses the critical problem of estimating time-evolving effective brain connectivity. Current approaches based on sliding window analysis or time-varying coefficient models do not simultaneously capture both slow and abrupt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ee416198459f842fae26e1c531344ab
https://doi.org/10.1109/tbme.2016.2580738
https://doi.org/10.1109/tbme.2016.2580738
Autor:
Jack A. Tuszynski, J. Ali, L. A. Cacha, Preecha P. Yupapin, M. A. Tengku, Roman R. Poznanski, Sh-Hussain Salleh, Ahmad Zubaidi A. Latif
Publikováno v:
Journal of Integrative Neuroscience, Vol 18, Iss 1, Pp 1-10 (2019)
The physicality of subjectivity is explained through a theoretical conceptualization of guidance waves informing meaning in negentropically entangled non-electrolytic brain regions. Subjectivity manifests its influence at the microscopic scale of mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca34138fc67f95273e46652318c65283
https://pubmed.ncbi.nlm.nih.gov/31091842
https://pubmed.ncbi.nlm.nih.gov/31091842
Autor:
J. Ali, L. A. Cacha, M. A. Tengku, Preecha P. Yupapin, Jack A. Tuszynski, Sh-Hussain Salleh, Roman R. Poznanski, Ahmad Zubaidi A. Latif
Publikováno v:
Journal of Integrative Neuroscience. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::342b03b856bb8683384662f14dfaf919
https://doi.org/10.31083/j.jin.2018.04.0418
https://doi.org/10.31083/j.jin.2018.04.0418
Autor:
Sh-Hussain Salleh, Ahmad Zubaidi Abdul Latif, M.M. Mohammad, Chee-Ming Ting, Osamah Al-Hamdani, Hadri Hussain, Fuad Noman
Publikováno v:
ISMICT
A person's physiological or behavioral characteristic can be used as a biometric and provides automatic identification. There are several advantages of this identification method over the traditional approaches. Overall, biometric techniques can pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91e0c9681c746925ff25ec633fd47b35
https://doi.org/10.1109/ismict.2018.8573692
https://doi.org/10.1109/ismict.2018.8573692
Publikováno v:
Neural Computation. 27:1857-1871
We consider the problem of selecting the optimal orders of vector autoregressive (VAR) models for fMRI data. Many previous studies used model order of one and ignored that it may vary considerably across data sets depending on different data dimensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0935ebdc4a6521dd61c1ec2b29e16c09
https://doi.org/10.1162/neco_a_00765
https://doi.org/10.1162/neco_a_00765