Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sakib Abrar Hossain"'
Autor:
Aura Rahman, Ashley Styczynski, Abdul Khaleque, Sakib Abrar Hossain, Abdus Sadique, Arman Hossain, Mukesh Jain, Syeda Naushin Tabassum, Fahad Khan, Mohammad Sami Salman Bhuiyan, Jahidul Alam, Amith Khandakar, Mohammad Kamruzzaman, Chowdhury Rafiqul Ahsan, Saad Bin Abul Kashem, Muhammad E. H. Chowdhury, Maqsud Hossain
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-16 (2022)
Abstract Background Acinetobacter calcoaceticus-A. baumannii (ACB) complex pathogens are known for their prevalence in nosocomial infections and extensive antimicrobial resistance (AMR) capabilities. While genomic studies worldwide have elucidated th
Externí odkaz:
https://doaj.org/article/7b750b7d0c904d0c82987c8b11b3eed4
Autor:
Sakib Abrar Hossain, Md. Asadur Rahman, Amitabha Chakrabarty, Mohd Abdur Rashid, Anna Kuwana, Haruo Kobayashi
Publikováno v:
Bioengineering, Vol 10, Iss 1, p 99 (2023)
Electroencephalogram (EEG)-based emotion recognition is a computationally challenging issue in the field of medical data science that has interesting applications in cognitive state disclosure. Generally, EEG signals are classified from frequency-bas
Externí odkaz:
https://doaj.org/article/b676442844ff4c579b73d2d53212cb83
Autor:
Md. Shaheenur Islam Sumon, Md Sakib Abrar Hossain, Haya Al-Sulaiti, Hadi M. Yassine, Muhammad E. H. Chowdhury
Publikováno v:
Diagnostics, Vol 14, Iss 19, p 2214 (2024)
Background/Objectives: Nasal and nasopharyngeal swabs are commonly used for detecting respiratory viruses, including influenza, which significantly alters host cell metabolites. This study aimed to develop a machine learning model to identify biomark
Externí odkaz:
https://doaj.org/article/717a473c9e1041178d6b44fbf7a51490
Autor:
Mahmud, Sakib, Ibtehaz, Nabil, Khandakar, Amith, Sohel Rahman, M., JR. Gonzales, Antonio, Rahman, Tawsifur, Shafayet Hossain, Md, Sakib Abrar Hossain, Md., Ahasan Atick Faisal, Md., Fuad Abir, Farhan, Musharavati, Farayi, E. H. Chowdhury, Muhammad
Publikováno v:
In Biomedical Signal Processing and Control January 2023 79 Part 2
Autor:
Md. Sakib Abrar Hossain, Sidra Gul, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Md. Shaheenur Islam Sumon, Enamul Haque Bhuiyan, Amith Khandakar, Maqsud Hossain, Abdus Sadique, Israa Al-Hashimi, Mohamed Arselene Ayari, Sakib Mahmud, Abdulrahman Alqahtani
Publikováno v:
Sensors, Vol 23, Iss 21, p 8890 (2023)
The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological images, which can be furt
Externí odkaz:
https://doaj.org/article/1e5b079827934014bf8f5868c312c536
Autor:
Tawsifur Rahman, Nabil Ibtehaz, Amith Khandakar, Md Sakib Abrar Hossain, Yosra Magdi Salih Mekki, Maymouna Ezeddin, Enamul Haque Bhuiyan, Mohamed Arselene Ayari, Anas Tahir, Yazan Qiblawey, Sakib Mahmud, Susu M. Zughaier, Tariq Abbas, Somaya Al-Maadeed, Muhammad E. H. Chowdhury
Publikováno v:
Diagnostics, Vol 12, Iss 4, p 920 (2022)
Problem—Since the outbreak of the COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a significant number of COVID-19 patients display no physical symptoms whatsoever. Therefo
Externí odkaz:
https://doaj.org/article/662fbcb5b1424451a009bc6f873331e1
Autor:
Tariq O. Abbas, Mohamed AbdelMoniem, Ibrahim A. Khalil, Md Sakib Abrar Hossain, Muhammad E.H. Chowdhury
Publikováno v:
Journal of Pediatric Urology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57456cd85f4695ca8cd79e3ae8306852
https://doi.org/10.1016/j.jpurol.2023.03.033
https://doi.org/10.1016/j.jpurol.2023.03.033
Autor:
Tawsifur Rahman, Saad Bin Abul Kashem, Muhammad Salman Khan, Zughaier, Susu M., Maqsud Hossain, Chowdhury, Muhammad E. H., Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam
Publikováno v:
Web of Science
Fast and accurate detection of the disease can significantly help in reducing the strain on the healthcare facility of any country to reduce the mortality during any pandemic. The goal of this work is to create a multimodal system using a novel machi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21bbad2c846b3c9f0bd016b8864d4b08
http://arxiv.org/abs/2206.07595
http://arxiv.org/abs/2206.07595
Autor:
Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, M. Sohel Rahman, Antonio JR. Gonzales, Tawsifur Rahman, Md Shafayet Hossain, Md. Sakib Abrar Hossain, Md. Ahasan Atick Faisal, Farhan Fuad Abir, Farayi Musharavati, Muhammad E. H. Chowdhury
Publikováno v:
Biomedical Signal Processing and Control. 79:104247
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39fe9f399d004a59a33621ecf4974f1a
https://doi.org/10.1016/j.bspc.2022.104247
https://doi.org/10.1016/j.bspc.2022.104247
Autor:
Khandaker Reajul Islam, Jaya Kumar, Toh Leong Tan, Mamun Bin Ibne Reaz, Tawsifur Rahman, Amith Khandakar, Tariq Abbas, Md. Sakib Abrar Hossain, Susu M. Zughaier, Muhammad E. H. Chowdhury
Publikováno v:
Diagnostics; Volume 12; Issue 9; Pages: 2144
With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient resource management and dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68719aebcc15a6d06d09cb7ec90287bb
https://doi.org/10.3390/diagnostics12092144
https://doi.org/10.3390/diagnostics12092144