Zobrazeno 1 - 10
of 1 222
pro vyhledávání: '"Manjur"'
Autor:
Manjur Kolhar, Ahmed M. Al Rajeh
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Cardiovascular diseases are a cause of death making it crucial to accurately diagnose them. Electrocardiography plays a role in detecting heart issues such as heart attacks, bundle branch blocks and irregular heart rhythms. Manual analysis o
Externí odkaz:
https://doaj.org/article/f6ca44f961e34dfc901da8067c2b9c0e
Autor:
Mst. Noorjahan Begum, Selim Reza Tony, Mohammad Jubair, Md. Shaheen Alam, Yeasir Karim, Mohammad Hridoy Patwary, Sezanur Rahman, Mohammad Tanbir Habib, Anisuddin Ahmed, Mohammad Enayet Hossain, Mohammed Ziaur Rahman, Manjur Hossain Khan, Tahmina Shirin, Firdausi Qadri, Mustafizur Rahman
Publikováno v:
Viruses, Vol 16, Iss 8, p 1263 (2024)
The first case of COVID-19 was detected in Bangladesh on 8 March 2020. Since then, the Government of Bangladesh (GoB) has implemented various measures to limit the transmission of COVID-19, including widespread testing facilities across the nation th
Externí odkaz:
https://doaj.org/article/8426921c9ec849489cb78bb30421b1c6
Publikováno v:
Diagnostics, Vol 14, Iss 13, p 1334 (2024)
In this research, we introduce a network that can identify pneumonia, COVID-19, and tuberculosis using X-ray images of patients’ chests. The study emphasizes tuberculosis, COVID-19, and healthy lung conditions, discussing how advanced neural networ
Externí odkaz:
https://doaj.org/article/0d0fce0fc6ca466d98ffe91546de31d9
Publikováno v:
Diagnostics, Vol 14, Iss 13, p 1344 (2024)
The healthcare industry has evolved with the advent of artificial intelligence (AI), which uses advanced computational methods and algorithms, leading to quicker inspection, forecasting, evaluation and treatment. In the context of healthcare, artific
Externí odkaz:
https://doaj.org/article/d73e0c9e4aaa4369bed3da76990363f8
Autor:
Manjur Kolhar, Sultan Mesfer Aldossary
Publikováno v:
AI, Vol 4, Iss 3, Pp 706-720 (2023)
Deep learning (DL) algorithms can improve healthcare applications. DL has improved medical imaging diagnosis, therapy, and illness management. The use of deep learning algorithms on sensitive medical images presents privacy and data security problems
Externí odkaz:
https://doaj.org/article/77d082e9ada546a99a0227643a7a30f7
Autor:
Mohammad Tanbir Habib, Saikt Rahman, Mokibul Hassan Afrad, Arif Mahmud Howlader, Manjur Hossain Khan, Farhana Khanam, Ahmed Nawsher Alam, Emran Kabir Chowdhury, Ziaur Rahman, Mustafizur Rahman, Tahmina Shirin, Firdausi Qadri
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved to give rise to a highly transmissive and immune-escaping variant of concern, known as Omicron. Many aspects of the evolution of SARS-CoV-2 and the driving forces behind the ong
Externí odkaz:
https://doaj.org/article/27e656127e784eccbc4d40f07b661d7e
Autor:
Md. Omar Qayum, Mallick Masum Billah, Mohammad Ferdous Rahman Sarker, A. S. M. Alamgir, Mehejabin Nurunnahar, Manjur Hossain Khan, M. Salim Uzzaman, Alden Henderson, Tahmina Shirin, Meerjady Sabrina Flora
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
IntroductionCholera remains a significant public health concern in many parts of the world, particularly in areas with poor sanitation and hygiene. Bangladesh and other impoverished nations have been severely affected by cholera outbreaks, especially
Externí odkaz:
https://doaj.org/article/b143eb5dbe044205b6a85fb66fe50648
Autor:
Manjur Kolhar, Sultan Mesfer Aldossary
Publikováno v:
Designs, Vol 7, Iss 6, p 139 (2023)
As a result of the Internet of Things (IoT), smart city infrastructure has been able to advance, enhancing efficiency and enabling remote management. Despite this, this interconnectivity poses significant security and privacy concerns, as cyberthreat
Externí odkaz:
https://doaj.org/article/8522838bd9314c06b84b8aedbe9905d0
Autor:
Mohammad Jubair, Mst. Noorjahan Begum, Sezanur Rahman, Sourav Mohammad Arefeen Haider, Shovan B. Moon, Mohammad Enayet Hossain, Mohammed Ziaur Rahman, Manjur H. Khan, Ahmed N. Alam, Tahmina Shirin, Mokibul H. Afrad, Firdausi Qadri, Mustafizur Rahman
Publikováno v:
Health Science Reports, Vol 6, Iss 3, Pp n/a-n/a (2023)
Externí odkaz:
https://doaj.org/article/7c6f8e147a214fe8a4e95b6d9238032c
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 11004 (2023)
Event coreference resolution is a crucial component in Natural Language Processing (NLP) applications as it directly affects text summarization, machine translation, classification, and textual entailment. However, the research on this task for Arabi
Externí odkaz:
https://doaj.org/article/d17d7569adf4450c9db9ee49ad57d44c