Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Md Murad Hossain Sarker"'
Autor:
Abrar Morshed, Abdulla Al Shihab, Md Abrar Jahin, Md Jaber Al Nahian, Md Murad Hossain Sarker, Md Sharjis Ibne Wadud, Mohammad Istiaq Uddin, Muntequa Imtiaz Siraji, Nafisa Anjum, Sumiya Rajjab Shristy, Tanvin Rahman, Mahmuda Khatun, Md Rubel Dewan, Mosaddeq Hossain, Razia Sultana, Ripel Chakma, Sonet Barua Emon, Towhidul Islam, Mohammad Hussain
The COVID-19 pandemic has affected millions of people globally, with respiratory organs being strongly affected in individuals with comorbidities. Medical imaging-based diagnosis and prognosis have become increasingly popular in clinical settings to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd7e3a2d3e759225630a8d0077f9dfad
https://doi.org/10.20944/preprints202303.0296.v3
https://doi.org/10.20944/preprints202303.0296.v3
Autor:
Abrar Morshed, Abdulla Al Shihab, Md Abrar Jahin, Md Jaber Al Nahian, Md Murad Hossain Sarker, Md Sharjis Ibne Wadud, Mohammad Istiaq Uddin, Muntequa Imtiaz Siraji, Nafisa Anjum, Sumiya Rajjab Shristy, Tanvin Rahman, Mahmuda Khatun, Fakrul Islam Javed, Md Rubel Dewan, Mosaddeq Hossain, Razia Sultana, Ripel Chakma, Sonet Barua Emon, Towhidul Islam, Mohammad Hussain
The COVID-19 pandemic has affected millions of people globally, with respiratory organs being strongly affected in individuals with comorbidities. Medical imaging-based diagnosis and prognosis have become increasingly popular in clinical settings to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7705936d54091ad96fd1d280c0f97110
https://doi.org/10.20944/preprints202303.0296.v1
https://doi.org/10.20944/preprints202303.0296.v1
Autor:
Saydul Akbar Murad, Apurba Adhikary, Abu Jafar Md Muzahid, Md. Murad Hossain Sarker, Md. Ashikur Rahman Khan, Md. Bipul Hossain, Anupam Kumar Bairagi, Mehedi Masud, Md. Kowsher
Publikováno v:
Intelligent Automation & Soft Computing. 34:87-103
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f86daa4a0abbfc5889f8f818d55e7eda
https://doi.org/10.32604/iasc.2022.024777
https://doi.org/10.32604/iasc.2022.024777
Autor:
Md. Kowsher, Nazmul Ahasan, Imran Hossen, Nusrat Jahan Prottasha, Imdadul Hoque, Md. Murad Hossain Sarker, Anik Tahabilder
Publikováno v:
Procedia Computer Science. 189:216-223
Data classification is one of the most fundamental tasks that can be accomplished by supervised machine learning. There exists a lot of algorithms, and they have the specific case of uses. Different classification methods follow different techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f5d56b0ce19702e8d3a06be0e6f1986
https://doi.org/10.1016/j.procs.2021.05.085
https://doi.org/10.1016/j.procs.2021.05.085
Publikováno v:
Procedia Computer Science. 178:224-233
Machine learning and deep learning have been perceived as a commended technique for different pattern recognition purposes among data. A chunk of consideration has been given to social and demographic research and with an amalgamation of various mach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dfcdad3e65aadf6412e2bebe8c78a84
https://doi.org/10.1016/j.procs.2020.11.024
https://doi.org/10.1016/j.procs.2020.11.024
Autor:
Md. Kowsher, Md. Zahidul Islam Sanjid, Anik Tahabilder, Md. Murad Hossain Sarker, Nusrat Jahan Prottasha
Publikováno v:
2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
Chatbots have been very popular in recent years for being able to serve as a customer representative, a language learner and so forth. Long short-term memory abbreviated as LSTM is a ubiquitous artificial recurrent neural network that is frequently b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0476eb3ccff18aa7792f37be6978cf6
https://doi.org/10.1109/icievicivpr48672.2020.9306602
https://doi.org/10.1109/icievicivpr48672.2020.9306602