Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Mohammad Rashedul Hasan"'
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100124- (2021)
Recent advancements in self-supervised learning (SSL) made it possible to learn generalizable visual representations from unlabeled data. The performance of Deep Learning models fine-tuned on pretrained SSL representations is on par with models fine-
Externí odkaz:
https://doaj.org/article/4acd1cfaade841c3b83d6549262c9cd8
Autor:
Mohammad Ariful Islam, Mohammad Ghulam Rasul, SM Enam ul Haque, Faisal Quader Shah Chowdhury, Afroza E Alam, Mohammad Farid Hossain, Mohammad Rashedul Hasan, Polash Kanti Mistry
Publikováno v:
Community Based Medical Journal. 11:120-124
A prospective study was conducted between March 2021 and February 2022 in the National Institute of Ophthalmology & Hospital, Dhaka, Bangladesh involving 30 patients who underwent cataract surgery for phacolytic glaucoma. The aim of this study was to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd6d7e7edfe59da40094cf2e657f605b
https://doi.org/10.3329/cbmj.v11i2.61229
https://doi.org/10.3329/cbmj.v11i2.61229
Publikováno v:
Journal of Intelligent Transportation Systems. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ab417fc9e878c3af41cceb623642016
https://doi.org/10.1080/15472450.2022.2074791
https://doi.org/10.1080/15472450.2022.2074791
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a034d556059397815fd14ae407315a0
https://doi.org/10.1109/icmla55696.2022.00074
https://doi.org/10.1109/icmla55696.2022.00074
Publikováno v:
Journal of Advances in Mathematics and Computer Science. :44-54
Every year Bangladesh experiences different types of natural hazards and heat wave is one of them. In the present study, an advanced high-resolution Weather Research and Forecasting (WRF-ARW) numerical mesoscale model is used to simulate a severe hea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bc6383268f4a8ba0ea3ef43310be70a
https://doi.org/10.9734/jamcs/2020/v35i830312
https://doi.org/10.9734/jamcs/2020/v35i830312
Autor:
Mohammad Rashedul Hasan
Publikováno v:
IEEE/WIC/ACM International Conference on Web Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99e5a1f38ef6c947f75830f0aa32d63
https://doi.org/10.1145/3486622.3493962
https://doi.org/10.1145/3486622.3493962
Autor:
Br. Gen. Md. Saidur Rahman, Mohammad Rashedul Hasan, Chowdhury Mohammad Monirul Hasan, Md. Maruful Kader, Farhana Nasrin, Abul Kalam Azad
Publikováno v:
American Journal of Microbiological Research. 7:91-97
The major aims of biology to understanding life at a systems level. Escherichia coli is a metabolically versatile bacterium able to respond to changes in environmental factors availability. The effect of pH downshift on fermentation characteristics w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143a2e856ba95d51e25d715881cf4406
https://doi.org/10.12691/ajmr-7-3-4
https://doi.org/10.12691/ajmr-7-3-4
Publikováno v:
RSC Advances. 9:4948-4956
Heat transfer across an interface between a monolayer coated solid substrate and fluid has been extensively analyzed through a series of non-equilibrium molecular dynamics simulations. The effect of the monolayer was studied by varying its atomic mas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d57e76ee0702f9b625f5cb53445c8b25
https://doi.org/10.1039/c8ra08390h
https://doi.org/10.1039/c8ra08390h
Publikováno v:
AAMAS
Conventions can serve as a useful mechanism for deciding the dominant coordination strategy and facilitating consensus in a multiagent system (MAS). In this paper, we present a decentralized convention formation framework that harnesses the structura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20a1b5c89a9965071ebdc1b0734a23df
https://doi.org/10.1007/s10458-018-9397-9
https://doi.org/10.1007/s10458-018-9397-9