Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zabir Al Nazi"'
Autor:
Zabir Al Nazi, Wei Peng
Publikováno v:
Informatics, Vol 11, Iss 3, p 57 (2024)
The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuanced unders
Externí odkaz:
https://doaj.org/article/01200fe089e94a06b3006e42c0ddd09e
Publikováno v:
International Journal Bioautomation, Vol 25, Iss 1, Pp 13-24 (2021)
Classification of electroencephalography (EEG) signals for brain-computer interface has great impact on people having various kinds of physical disabilities. Motor imagery EEG signals of hand and leg movement classification can help people whose limb
Externí odkaz:
https://doaj.org/article/b5c823a8d3dd49b1954b5fab2742c72c
Publikováno v:
International Journal Bioautomation, Vol 25, Iss 1, Pp 13-24 (2021)
Classification of electroencephalography (EEG) signals for brain-computer interface has great impact on people having various kinds of physical disabilities. Motor imagery EEG signals of hand and leg movement classification can help people whose limb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baae104d8dd09ebc01f8909885a0fd2f
http://www.biomed.bas.bg/bioautomation/2021/vol_25.1/files/25.1_02.pdf
http://www.biomed.bas.bg/bioautomation/2021/vol_25.1/files/25.1_02.pdf
Publikováno v:
2022 International Conference for Advancement in Technology (ICONAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2991c363bd4bb739457aa31b1f6c51b8
https://doi.org/10.1109/iconat53423.2022.9725979
https://doi.org/10.1109/iconat53423.2022.9725979
Autor:
Zabir Al Nazi
Publikováno v:
Human Activity Recognition Challenge ISBN: 9789811582684
In recent times, context-aware activity recognition has made significant progress due to modern development of machine learning. Yet, it is challenging due to the major difference among recognition tasks due to the change in sensor types, system desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce460d6535b520e934136125f421601f
https://doi.org/10.1007/978-981-15-8269-1_5
https://doi.org/10.1007/978-981-15-8269-1_5
Autor:
Abidur Rahman Mallik, Mamunur Rahaman Mamun, Tanmoy Tapos Datta, Mohammad Samawat Ullah, Zabir Al Nazi
Publikováno v:
ICCA
In spite of the immense success of deep neural networks for classification tasks, it's challenging to use them to extend the usage for industrial applications. The struggle comes from the nature of variation in data sources and the distribution of da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b3bd0465c00b8ad5824eb543a8faf2b
https://doi.org/10.1145/3377049.3377092
https://doi.org/10.1145/3377049.3377092
Publikováno v:
Journal of Sensor Technology. :48-57
Information collection from remote location is very important for several tasks such as temperate monitoring, air quality investigation, and wartime surveillance. Wireless sensor network is the first choice to complete these types of tasks. Basically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36ea5d9d341ab03a3f01431697a5d65c
https://doi.org/10.4236/jst.2018.82004
https://doi.org/10.4236/jst.2018.82004
Publikováno v:
Physics in Medicine & Biology. 66:225013
Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36ca4d7bffcfebc2f272550a62dad46a
https://doi.org/10.1088/1361-6560/ac36a2
https://doi.org/10.1088/1361-6560/ac36a2
Publikováno v:
2019 4th International Conference on Electrical Information and Communication Technology (EICT).
Representing around 80% of breast cancer, Invasive Ductal Carcinoma is the most common type of breast cancer. In this work, we have proposed a self-attention GRU model to detect Invasive Ductal Carcinoma. Self-attention is a way to motivate the archi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11b0d86f3d944bd028fb22d82ea1545c
https://doi.org/10.1109/eict48899.2019.9068841
https://doi.org/10.1109/eict48899.2019.9068841