Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Dzati A. Ramli"'
Autor:
Imran Uddin, Dzati A. Ramli, Abdullah Khan, Javed Iqbal Bangash, Nosheen Fayyaz, Asfandyar Khan, Mahwish Kundi
Publikováno v:
Complexity, Vol 2021 (2021)
In the area of machine learning, different techniques are used to train machines and perform different tasks like computer vision, data analysis, natural language processing, and speech recognition. Computer vision is one of the main branches where m
Externí odkaz:
https://doaj.org/article/49f1bd0591404a57a1b89db344770208
Autor:
Yangyang Li, Dzati Athiar Ramli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The precise separation of multicomponent signals encounters numerous challenges due to the complexity of signals and widespread interference. Synchrosqueezing Transform (SST) is one of the important technologies for improving the accurate se
Externí odkaz:
https://doaj.org/article/4aa9a79dd7a540728acf414596ae6e03
Autor:
Yangyang Li, Dzati Athiar Ramli
Publikováno v:
IEEE Access, Vol 11, Pp 137450-137474 (2023)
Blind source separation (BSS) is a critical task in untangling non-stationary signals without prior information. This paper extensively explores diverse time-frequency analysis (TFA) methods within BSS systems over the past decade. It underscores the
Externí odkaz:
https://doaj.org/article/7ee9215164b6424293198d7d3237b4b7
Autor:
Norsalina Hassan, Dzati Athiar Ramli
Publikováno v:
Sensors, Vol 23, Iss 4, p 2060 (2023)
Blind source separation (BSS) recovers source signals from observations without knowing the mixing process or source signals. Underdetermined blind source separation (UBSS) occurs when there are fewer mixes than source signals. Sparse component analy
Externí odkaz:
https://doaj.org/article/3fbed0cc7e8646069370fb1501f475a0
Autor:
Kai Jye Chee, Dzati Athiar Ramli
Publikováno v:
Sensors, Vol 22, Iss 9, p 3446 (2022)
The existing electrocardiogram (ECG) biometrics do not perform well when ECG changes after the enrollment phase because the feature extraction is not able to relate ECG collected during enrollment and ECG collected during classification. In this rese
Externí odkaz:
https://doaj.org/article/3405e6dc7a434275ae33e465bc5951bb
Publikováno v:
Computers, Materials & Continua. 74:203-216
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::436d5562bb02aeeef781cce2bd454d72
https://doi.org/10.32604/cmc.2023.029834
https://doi.org/10.32604/cmc.2023.029834
Autor:
Junaid Ur Rahman, Asfandyar Khan, Javed Iqbal Bangash, Abdullah Khan, Dzati Athiar Ramli, Shafiullah khan
Publikováno v:
Procedia Computer Science. 207:1743-1753
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a08c35800614efeddb5adc47cd6c59a2
https://doi.org/10.1016/j.procs.2022.09.232
https://doi.org/10.1016/j.procs.2022.09.232
Autor:
Maria Ali, Muhammad Nasim Haider, Saima Anwar Lashari, Wareesa Sharif, Abdullah Khan, Dzati Athiar Ramli
Publikováno v:
Procedia Computer Science. 207:3459-3468
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca35febf84a3d77d7fd330298bf21ce0
https://doi.org/10.1016/j.procs.2022.09.404
https://doi.org/10.1016/j.procs.2022.09.404
Autor:
Yangyang Li, Dzati Athiar Ramli
Publikováno v:
Electronics; Volume 12; Issue 2; Pages: 456
The estimation accuracy of the mixed matrix is very important to the performance of the underdetermined blind source separation (UBSS) system. To improve the estimation accuracy of the mixed matrix, the sparsity of the mixed signal is required. The n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::337905aaad7be3f797aa16488d966ea3
Publikováno v:
Procedia Computer Science
KES
KES
The pandemic of Covid-19 has caused a shift of paradigm of education, from face-to-face to e-learning. E-learning leads to an escalation in digitalization of handwritten documents because it requires submission of homework and assignments through onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::322288928262b3d3e954c0de2ed50685
http://europepmc.org/articles/PMC8486224
http://europepmc.org/articles/PMC8486224