Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sayma Alam Suha"'
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 14, Iss 2 (2024)
Since entering the market in 2009, Bitcoin has had a price that is extremely erratic. Its price is influenced by factors such as adoption rates, regulatory changes, geopolitical occurrences, and macroeconomic developments. Experts believe that Bitcoi
Externí odkaz:
https://doaj.org/article/42c4ce457f1b4efbb97d162176f77a57
Autor:
Sayma Alam Suha, Muhammad Nazrul Islam
Publikováno v:
Heliyon, Vol 9, Iss 10, Pp e20524- (2023)
Polycystic Ovary Syndrome (PCOS) is among the most prevalent endocrinological abnormalities seen in reproductive female bodies posing serious health hazards. The correctness of interpreting this condition depends heavily on the wide spectrum of assoc
Externí odkaz:
https://doaj.org/article/0c9ceaf51e8743f3a79d5a679c7f48ba
Autor:
Sayma Alam Suha, Muhammad Nazrul Islam
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract Polycystic ovary syndrome (PCOS) is the most prevalent endocrinological abnormality and one of the primary causes of anovulatory infertility in women globally. The detection of multiple cysts using ovary ultrasonograpgy (USG) scans is one of
Externí odkaz:
https://doaj.org/article/68621c78e53b4a3a8f9c43d48fae1966
Autor:
Sayma Alam Suha, Tahsina Farah Sanam
Publikováno v:
International Journal of Information Management Data Insights, Vol 3, Iss 1, Pp 100170- (2023)
Healthcare decision-making is a complicated aspect that requires collaboration among stakeholders, whilst ensuring its sustainability is essential for addressing the requirements of healthcare facilities. Artificial intelligence (AI) in healthcare de
Externí odkaz:
https://doaj.org/article/3d6a2ca5444c4ebd82f6dec7c54fda64
Autor:
Sayma Alam Suha, Muhammad Nazrul Islam
Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e14518- (2023)
Polycystic ovary syndrome (PCOS) is the most frequent endocrinological anomaly in reproductive women that causes persistent hormonal secretion disruption, leading to the formation of numerous cysts within the ovaries and serious health complications.
Externí odkaz:
https://doaj.org/article/0e6fe3fa618947d7bd36cc345b460eb3
Publikováno v:
Healthcare Analytics, Vol 2, Iss , Pp 100070- (2022)
One of the critical areas in the medical field is the burn treatment management that helps to rescue patient’s life by dramatically minimizing the after-burn progression and severity. Initial acute burn treatment involves intravenous fluid resuscit
Externí odkaz:
https://doaj.org/article/76760d11ec8f4c289ab7e2adcf1d463a
A deep convolutional neural network-based approach for detecting burn severity from skin burn images
Autor:
Sayma Alam Suha, Tahsina Farah Sanam
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100371- (2022)
Burns being one of the leading causes of clinically significant morbidity can lead to a dramatic physiological reaction with prolonged repercussions, metabolic disturbance, severe scarring, catastrophic organ failure, and death if not properly treate
Externí odkaz:
https://doaj.org/article/48a6734f83ea4352a1d4dee5f4c5a375
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:7874-7884
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e496f8c2ae299e3f863fcf778b25850
https://doi.org/10.1016/j.jksuci.2022.07.006
https://doi.org/10.1016/j.jksuci.2022.07.006
Autor:
Sayma Alam Suha, Tahsina Farah Sanam
Publikováno v:
2022 12th International Conference on Electrical and Computer Engineering (ICECE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c503d9949cad6b364c2f982930c4071
https://doi.org/10.1109/icece57408.2022.10088521
https://doi.org/10.1109/icece57408.2022.10088521
Autor:
Mohammad Refatul Islam, Md. Durul Hoda, Md. Abdur Rashid, Sayma Alam Suha, Mohammad Tohidul Islam Miya
Publikováno v:
2022 25th International Conference on Computer and Information Technology (ICCIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::318f3ae9d3f09cf4008e23d166e79a2a
https://doi.org/10.1109/iccit57492.2022.10054998
https://doi.org/10.1109/iccit57492.2022.10054998