Zobrazeno 1 - 10 of 21 pro vyhledávání: '"Dilwar Hussain Mazumder"'
1
Akademický článek
MLCNN-COV: A multilabel convolutional neural network-based framework to identify negative COVID medicine responses from the chemical three-dimensional conformer
Autor: Pranab Das, Dilwar Hussain Mazumder
Publikováno v: ETRI Journal, Vol 46, Iss 2, Pp 290-306 (2024)
To treat the novel COronaVIrus Disease (COVID), comparatively fewer medicines have been approved. Due to the global pandemic status of COVID, several medicines are being developed to treat patients. The modern COVID medicines development process has
Externí odkaz: https://doaj.org/article/6c3b0b22d8f14eb58c6223f94926b6e9
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2
Akademický článek
An enhanced feature selection filter for classification of microarray cancer data
Autor: Dilwar Hussain Mazumder, Ramachandran Veilumuthu
Publikováno v: ETRI Journal, Vol 41, Iss 3, Pp 358-370 (2019)
The main aim of this study is to select the optimal set of genes from microarray cancer datasets that contribute to the prediction of specific cancer types. This study proposes the enhancement of the feature selection filter algorithm based on Joe's
Externí odkaz: https://doaj.org/article/39bf4586840440b8b2209b177c6ac947
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6
An Extensive Survey on the Use of Supervised Machine Learning Techniques in the Past Two Decades for Prediction of Drug Side Effects
Autor: Pranab Das, Dilwar Hussain Mazumder
Side Effects (SE) of drugs are one of the common reasons for drug failure that may halt the whole drug discovery pipeline. Therefore, predicting the side effects of the drug is vital in drug development, discovery, and design. Supervised machine lear
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::684cb10bbd954d81ddbe088e769fcd3a
https://doi.org/10.21203/rs.3.rs-2106875/v1
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8
Binary Biogeography-Based Optimization Applied to Gene Selection for Cancer Classification Using Artificial Neural Network
Autor: Dilwar Hussain Mazumder, Ramachandran Veilumuthu
Publikováno v: UKSim
In cancer classification, selection of genes that highly contribute to the classification process becomes essential due to the problem of 'curse of dimensionality’ associated with microarray based gene expression data. Biogeography-Based Optimizati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::372346d559a62007f94af57978342f02
https://doi.org/10.1109/uksim.2018.00020
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9
Akademický článek
A Comprehensive Survey of Studies on Predicting Anatomical Therapeutic Chemical Classes of Drugs.
Autor: Das, Pranab1 (AUTHOR) dpranavdas@gmail.com, Mazumder, Dilwar Hussain2 (AUTHOR) dilwar2k4@yahoo.co.in
Publikováno v: ACM Computing Surveys. Mar2025, Vol. 57 Issue 3, p1-31. 31p.
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