Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohammad Abu Baker Siddique Akhonda"'
Autor:
Mingyu Sun, Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Francisco Laport, Vince Calhoun, Tülay Adali
Publikováno v:
Sensors, Vol 23, Iss 11, p 5333 (2023)
Joint blind source separation (JBSS) has wide applications in modeling latent structures across multiple related datasets. However, JBSS is computationally prohibitive with high-dimensional data, limiting the number of datasets that can be included i
Externí odkaz:
https://doaj.org/article/9b6086bcae314638b96c839f5aacfea7
Autor:
Chunying Jia, Mohammad Abu Baker Siddique Akhonda, Yuri Levin-Schwartz, Qunfang Long, Vince D. Calhoun, Tülay Adali
Publikováno v:
Applied Sciences, Vol 11, Iss 18, p 8382 (2021)
Brain signals can be measured using multiple imaging modalities, such as magnetic resonance imaging (MRI)-based techniques. Different modalities convey distinct yet complementary information; thus, their joint analyses can provide valuable insight in
Externí odkaz:
https://doaj.org/article/3863910e313147de9078e7db513845f7
Autor:
Adali, Mingyu Sun, Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Francisco Laport, Vince Calhoun, Tülay
Publikováno v:
Sensors; Volume 23; Issue 11; Pages: 5333
Joint blind source separation (JBSS) has wide applications in modeling latent structures across multiple related datasets. However, JBSS is computationally prohibitive with high-dimensional data, limiting the number of datasets that can be included i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::fdbc2721409babe6891db9198213b5c9
Autor:
Tulay Adali, Furkan Kantar, Mohammad Abu Baker Siddique Akhonda, Stephen Strother, Vince D. Calhoun, Evrim Acar
Publikováno v:
IEEE Signal Process Mag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab7fb6f183f564b44ea7af1c85695ae6
https://doi.org/10.1109/msp.2022.3163870
https://doi.org/10.1109/msp.2022.3163870