M
Mohammod Abul Kashem
Researcher at University of Engineering and Technology, Lahore
Publications - 63
Citations - 711
Mohammod Abul Kashem is an academic researcher from University of Engineering and Technology, Lahore. The author has contributed to research in topics: Computer science & Agriculture. The author has an hindex of 10, co-authored 56 publications receiving 351 citations. Previous affiliations of Mohammod Abul Kashem include Bangladesh Agricultural University & Dhaka University of Engineering & Technology, Gazipur.
Papers
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Journal ArticleDOI
Immune response in COVID-19: A review.
Mohammad Asaduzzaman Chowdhury,Nayem Hossain,Mohammod Abul Kashem,Abdus Shahid,Ashraful Alam +4 more
TL;DR: This article can be used as a state of the art at this critical moment to the globe for a promising alternative solutions related to the survival of people from coronavirus.
Journal ArticleDOI
Prospect of biobased antiviral face mask to limit the coronavirus outbreak.
Mohammad Asaduzzaman Chowdhury,Bengir Ahmed Shuvho,Abdus Shahid,A.K.M. Monjurul Haque,Mohammod Abul Kashem,Su Shiung Lam,Hwai Chyuan Ong,Alhaz Uddin,M. Mofijur +8 more
TL;DR: This is the first study that has endeavoured to explore the design and fabrication of an antiviral face mask using licorice root extract, which has antimicrobial properties due to glycyrrhetinic acid and glycyrrhizin, and it can be concluded that licorICE root membrane may be used to produce a biobased face mask to control COVID-19 spread.
Journal ArticleDOI
Prediction of solar irradiation and performance evaluation of grid connected solar 80KWp PV plant in Bangladesh
TL;DR: This study presents a solar irradiation predict model based on fuzzy logic and artificial neural networks which aims to achieve a good accuracy at different weather conditions and to provide enough information about the feasibility of solar power projects.
Face Recognition System Based on Principal Component Analysis (PCA) with Back Propagation Neural Networks (BPNN)
TL;DR: The face database with different sources of variations, especially Pose, Expression, Accessories, Lighting and backgrounds would be used to advance the state-of-the-art face recognition technologies aiming at practical applications.
Environmental impact of sugar industry - a case study on kushtia sugar mills in bangladesh
TL;DR: Salequzzaman et al. as discussed by the authors conducted a case study on Kushtia Sugar Mills in Bangladesh and found that the effluent of the sugar mill does not maintain the Department of Environment (DoE) Standard and Surface Water Quality Standard.