Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Muhammad Asif Hossain Khan"'
Autor:
Md Rabiul Haque, Mohammad Sharif Ul Islam, Md Khalid Hasan, Md Salim Hossain, Muhammad Asif Hossain Khan, Farhin Islam
Publikováno v:
Heliyon, Vol 8, Iss 5, Pp e09415- (2022)
Background: Human health and well-being are adversely affected by the effects of COVID-19. This study examined the prevalence of anxiety and depression during COVID-19 lockdown in Bangladesh, and their association with some less explored factors like
Externí odkaz:
https://doaj.org/article/b1cc7d19145743c5ac6a6f8152278ba7
Autor:
Tahira Alam, Chowdhury Farhan Ahmed, Sabit Anwar Zahin, Muhammad Asif Hossain Khan, Maliha Tashfia Islam
Publikováno v:
IEEE Access, Vol 7, Pp 127615-127630 (2019)
In machine learning, classification and regression are two of the most noteworthy key topics since they occur extensively in numerous real-world applications. However, real life data is hardly ever found balanced, rather skewed data is the common occ
Externí odkaz:
https://doaj.org/article/9e50633fbb61442e956665daa86dc0d8
Publikováno v:
Pattern Recognition. 91:162-174
Recently mutual information based feature selection criteria have gained popularity for their superior performances in different applications of pattern recognition and machine learning areas. However, these methods do not consider the correction whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02bb78343aa23c5b945a83aef4f618ee
https://doi.org/10.1016/j.patcog.2019.02.016
https://doi.org/10.1016/j.patcog.2019.02.016
Publikováno v:
Journal of Medical Virology. 91:1584-1594
BACKGROUND The concurrent Zika Virus (ZIKV) outbreaks in the United States and Northeast Brazil have evoked global surveillance. Zika infection has been correlated with severe clinical symptoms, such as microcephaly, Guillain-Barre syndrome, and othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f6f79108a9ef0c5653d4db06507f079
https://doi.org/10.1002/jmv.25505
https://doi.org/10.1002/jmv.25505
Autor:
Sabit Anwar Zahin, Chowdhury Farhan Ahmed, Muhammad Asif Hossain Khan, Maliha Tashfia Islam, Tahira Alam
Publikováno v:
IEEE Access, Vol 7, Pp 127615-127630 (2019)
In machine learning, classification and regression are two of the most noteworthy key topics since they occur extensively in numerous real-world applications. However, real life data is hardly ever found balanced, rather skewed data is the common occ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af4c9bb33e707597f2cdf3b3c1e7291e
https://doi.org/10.1109/access.2019.2939755
https://doi.org/10.1109/access.2019.2939755
Publikováno v:
International Journal of Modern Education and Computer Science. 10:44-53
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef1a906344af4fbdcad8b22a05fab72d
https://doi.org/10.5815/ijmecs.2018.12.06
https://doi.org/10.5815/ijmecs.2018.12.06
Autor:
Muhammad Asif Hossain Khan, Saif Mahmud, Mohammad Shoyaib, M. Tanjid Hasan Tonmoy, Md. Nazmul Haque, Amin Ahsan Ali
Publikováno v:
2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT).
Sensor data based Human Activity Recognition (HAR) has gained interest due to its application in practical field. With increasing number of approaches incorporating feature learning of sequential time-series sensor data, in particular the deep learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d20328ac9684452894b69f550feabc95
https://doi.org/10.1109/icasert.2019.8934659
https://doi.org/10.1109/icasert.2019.8934659
Autor:
Shah Mostafa Khaled, Muhammad Asif Hossain Khan, Mohammad Shoyaib, Shanto Rahman, M. Abdullah-Al Wadud, Md. Mostafijur Rahman, Khalid Hussain
Publikováno v:
IPSJ Transactions on Computer Vision and Applications, Vol 10, Iss 1, Pp 1-11 (2018)
Traditional image enhancement techniques produce different types of noise such as unnatural effects, over-enhancement, and artifacts, and these drawbacks become more prominent in enhancing dark images. To overcome these drawbacks, we propose a dark i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30770d9d1182f0306d0e155a75129b54
https://doi.org/10.1186/s41074-018-0040-0
https://doi.org/10.1186/s41074-018-0040-0
Autor:
Chowdhury Farhan Ahmed, Maliha Tashfia Islam, Tahira Alam, Muhammad Asif Hossain Khan, Sabit Anwar Zahin
Publikováno v:
Advances in Data Mining. Applications and Theoretical Aspects ISBN: 9783319957852
ICDM
ICDM
In the field of Data Mining, classification and regression plays a vital role as they are useful in various real-life domains. Most of the real-life data suffer from data imbalance problem. The performances of the standard algorithms are hindered for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fb7f6c609b8de74be829965abdc82bc
https://doi.org/10.1007/978-3-319-95786-9_5
https://doi.org/10.1007/978-3-319-95786-9_5
Publikováno v:
2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC).
Bugs are inevitable in every software system. Resolving these bugs requires proper classification based on their severity. This is because the severe bugs need to be assigned to the developers immediately for fixing so that the vulnerability of softw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca99b9a656608311381d271f1b3dbea
https://doi.org/10.1109/r10-htc.2017.8289066
https://doi.org/10.1109/r10-htc.2017.8289066