Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Fahim Hasan"'
Publikováno v:
Citizen Science: Theory and Practice, Vol 9, Iss 1, Pp 14-14 (2024)
It is undeniable that citizen science contributes to the advancement of various fields of study. There are now software tools that facilitate the development of citizen science apps. However, apps developed with these tools rely on individual human s
Externí odkaz:
https://doaj.org/article/7937c01c7d8447419246239afbf33570
It is undeniable that citizen science contributes to the advancement of various fields of study. There are now software tools that facilitate the development of citizen science apps. However, apps developed with these tools rely on individual human s
Externí odkaz:
http://arxiv.org/abs/2405.14323
Autor:
de Silva, Akila, Tee, Nicholas, Ghanekar, Omkar, Khan, Fahim Hasan, Dusek, Gregory, Davis, James, Pang, Alex
Vortices are studied in various scientific disciplines, offering insights into fluid flow behavior. Visualizing the boundary of vortices is crucial for understanding flow phenomena and detecting flow irregularities. This paper addresses the challenge
Externí odkaz:
http://arxiv.org/abs/2404.01352
Autor:
Kamal, Mahedi, Fariha, Tasnim, Zinia, Afrina Kabir, Syed, Md. Abu, Khan, Fahim Hasan, Rahman, Md. Mahbubur
Recent breakthroughs in artificial intelligence offer tremendous promise for the development of self-driving applications. Deep Neural Networks, in particular, are being utilized to support the operation of semi-autonomous cars through object identif
Externí odkaz:
http://arxiv.org/abs/2401.11358
Publikováno v:
Bangladesh Journal of Pharmacology, Vol 11, Iss 4 (2016)
The study was aimed to evaluate the knowledge, perception and prepared-ness of the 4th year students of three medical colleges of Bangladesh during January 2016. The questionnaire was designed to evaluate knowledge, perception and preparedness about
Externí odkaz:
https://doaj.org/article/9bc716fbf3004d35a134913597c85513
Autor:
de Silva, Akila, Zhao, Mona, Stewart, Donald, Khan, Fahim Hasan, Dusek, Gregory, Davis, James, Pang, Alex
We present a hybrid machine learning and flow analysis feature detection method, RipViz, to extract rip currents from stationary videos. Rip currents are dangerous strong currents that can drag beachgoers out to sea. Most people are either unaware of
Externí odkaz:
http://arxiv.org/abs/2302.12983
Data collection is an integral part of any citizen science project. Given the wide variety of projects, some level of expertise or, alternatively, some guidance for novice participants can greatly improve the quality of the collected data. A signific
Externí odkaz:
http://arxiv.org/abs/2212.05411
Autor:
Khan, Fahim Hasan, Ali, Mohammed Eunus
Cellphone service-providers continuously collect Call Detail Records (CDR) as a usage log containing spatio-temporal traces of phone users. We proposed a multi-layered hierarchical analytical model for large spatio-temporal datasets and applied that
Externí odkaz:
http://arxiv.org/abs/2212.05386
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Groundwater overdraft gives rise to multiple adverse impacts including land subsidence and permanent groundwater storage loss. Existing methods are unable to characterize groundwater storage loss at the global scale with sufficient resolutio
Externí odkaz:
https://doaj.org/article/e8b1fb04496d41a8afd20e17430e5c4a
Akademický článek
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