Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Md. Abdus Sattar"'
Autor:
M Ashikul Haque Naeem, Ahmed Sidrat Rahman Ayon, Md. Mintu Ali, Md. Ruhul Amin, M. Humayan Kabir, Md. Abdus Sattar, Samia Tabassum, Md Nurul Huda Liton
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26545- (2024)
The present study explores the structural, morphological, optical, and electrical properties of spray pyrolyzed (Al–Zn) dual-doped CdO thin films. The un-doped and (Al–Zn) dual-doped CdO thin films have been deposited on glass substrate using spr
Externí odkaz:
https://doaj.org/article/29a207ec763b46d7bd793c5bba01cff8
Autor:
Md. Shafiur Rahman Khan, Ishrat Khan, Md. Abdus Sattar Bag, Machbah Uddin, Md. Rakib Hassan, Jayedul Hassan
Publikováno v:
Journal of Advanced Veterinary and Animal Research, Vol 9, Iss 4, Pp 573-582 (2022)
Objectives: This study aimed to develop a computerized deep learning (DL) technique to identify bacterial genera more precisely in minimum time than the usual, traditional, and commonly used techniques like cultural, staining, and morphological chara
Externí odkaz:
https://doaj.org/article/b921a5f3def446db852f33e15098bf91
Autor:
Jayedul Hassan, Md. Abdus Sattar Bag, Md. Wohab Ali, Ajran Kabir, M. Nazmul Hoque, Muhammad Maqsud Hossain, Md. Tanvir Rahman, Md. Shafiqul Islam, Md. Shahidur Rahman Khan
Publikováno v:
Frontiers in Veterinary Science, Vol 10 (2023)
IntroductionStreptococci are the major etiology in mastitis in dairy cattle, a cause of huge economic losses in the dairy industries. This study was aimed to determine the diversity of Streptococcus spp. isolated from clinical mastitis of cattle rear
Externí odkaz:
https://doaj.org/article/7811f1789c6d47b6827745e5dcd93582
Publikováno v:
Engineering Reports, Vol 4, Iss 12, Pp n/a-n/a (2022)
Abstract Regression analysis is a well known quantitative research method that primarily explores the relationship between one or more independent variables and a dependent variable. Conducting regression analysis manually on large datasets with mult
Externí odkaz:
https://doaj.org/article/bcdd8390d9804232b0084524a75b5d3a
Publikováno v:
Earth and Space Science, Vol 9, Iss 3, Pp n/a-n/a (2022)
Abstract The current study used seven optimization algorithms such as stochastic gradient descent (SGD), root mean square propagation (RMSprop), adaptive grad (AdaGrad), adaptive delta (AdaDelta), adaptive moment estimation (Adam), adaptive maximum (
Externí odkaz:
https://doaj.org/article/833e28409c27469381e740b9d610c7fc
Autor:
Fahmida Rashid, Rabiul Alam Md. Erfan Uddin, H. M. Hamidullah Mehedi, Satyajit Dhar, Nur Hossain Bhuiyan, Md. Abdus Sattar, Shahanara Chowdhury
Publikováno v:
PLoS ONE, Vol 17, Iss 11 (2022)
Introduction During the COVID-19 pandemic, healthcare workers had a high workload and were exposed to multiple psychosocial stressors. However, a knowledge gap exists about the levels of burnout among Bangladeshi frontline doctors during this COVID-1
Externí odkaz:
https://doaj.org/article/dcac3bf030534936b3a30f1ea121e41c
Publikováno v:
Atmosphere, Vol 12, Iss 11, p 1449 (2021)
El Niño and La Niña Southern Oscillation (ENSO) are major drivers that affect climatic variables in many countries. Therefore, ENSO mediated variation in climatic factors have significant consequences for crop production. We studied ENSO mediated v
Externí odkaz:
https://doaj.org/article/0f391cf5178f4bf1b74a030db4d67d2f
Autor:
AKM Abdul Ahad Biswas, Md. Abdullah-Al Mamun, Md. Saifur Rahman, Md. Abdus Sattar, AKM Mostafa Zaman
Publikováno v:
International Journal of Environment, Vol 4, Iss 4, Pp 100-113 (2015)
Rice productivity in coastal Bangladesh is lower than the national average and total coastal area is considered to be submergence-prone and higher vulnerable in July to January cropping season. The selected study areas are Kalapara and Patuakhali Sad
Externí odkaz:
https://doaj.org/article/e07f40c6a96c4d1faacc2164a24cebf6
Autor:
Bag, Md. Abdus Sattar1 (AUTHOR), Arif, Mohammad1 (AUTHOR), Riaz, Sonia2 (AUTHOR), Khan, Md. Shahidur Rahman1 (AUTHOR), Islam, Md. Shafiqul1 (AUTHOR), Punom, Sadia Afrin1 (AUTHOR), Ali, Md. Wohab1 (AUTHOR), Begum, Ferdousi3 (AUTHOR), Islam, Md. Saiful1 (AUTHOR), Rahman, Md. Tanvir1 (AUTHOR), Hassan, Jayedul1 (AUTHOR)
Publikováno v:
BioMed Research International. 9/27/2022, p1-8. 8p.
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