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Md. Samiul Islam

Researcher at Huazhong Agricultural University

Publications -  18
Citations -  122

Md. Samiul Islam is an academic researcher from Huazhong Agricultural University. The author has contributed to research in topics: Biology & Antimicrobial peptides. The author has an hindex of 4, co-authored 14 publications receiving 48 citations. Previous affiliations of Md. Samiul Islam include Rangpur Medical College & University of Rajshahi.

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Bangla Text Sentiment Analysis Using Supervised Machine Learning with Extended Lexicon Dictionary

TL;DR: Results show that for the case of BiGram feature, support vector machine (SVM) achieves the best classification accuracy of 82.21% indicating the effectiveness of BTSC algorithm in Bangla SA.
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Identification and in silico molecular modelling study of newly isolated Bacillus subtilis SI-18 strain against S9 protein of Rhizoctonia solani

TL;DR: It is demonstrated that compounds D1, D2, and D3 derived from B. subtilis can be a potential inhibitor of S9 protein of R. solani that might be a possible strategy for fungal disease prevention.
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Identification of host transcriptome-guided repurposable drugs for SARS-CoV-1 infections and their validation with SARS-CoV-2 infections by using the integrated bioinformatics approaches

TL;DR: The proposed candidate-drugs might play a vital role for the treatment against different variants of SARS-CoV-2 infections with comorbidities and are predicted to be associated with several other diseases including different types of lung diseases.
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In vitro and in silico approach of fungal growth inhibition by Trichoderma asperellum HbGT6-07 derived volatile organic compounds

TL;DR: Findings indicated that HbGT6-07 could attain competitive progress via production of VOCs and comprehensive mycelial growth and the molecular dynamics study confirms the structural stability and rigidity of the docked complex through multiple descriptors from simulation trajectories.
Proceedings ArticleDOI

A Real-Time Face Recognition Approach from Video Sequence using Skin Color Model and Eigenface Method

TL;DR: A robust approach for real time face recognition from video sequences which uses skin color modeling to detect human face in the video sequence based on efficient template matching scheme is presented.