output
20132020
most citedPredicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

82 citations

8 papers

q-bio.QM2020★ 82 cited

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

Sakifa Aktar, Md. Martuza Ahamad, Md. Rashed-Al-Mahfuz +9

Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation. There are many patient-r…

q-bio.QM2020★ 42 cited

Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19

Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad +9

Background: Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus is a significant global challenge. Many individuals w…

physics.optics2018

Determining the Increase or Decrease of Photon Momentum: Dielectric or Plasmonic Mie Object at Air-Liquid Interface

M. R. C. Mahdy, Hamim Mahmud Rivy, Ziaur Rahman Jony +5

Though the interfacial tractor beam experiment supports the increase of photon momentum (i.e., Minkowski momentum), it is still a matter of investigation whether, inside matter, th…

cs.ET2014★ 27 cited

Quantum Cost Optimization for Reversible Sequential Circuit

Md. Selim Al Mamun, David Menville

Reversible sequential circuits are going to be the significant memory blocks for the forthcoming computing devices for their ultra low power consumption. Therefore design of variou…

cs.OH2014★ 10 cited

Design of Reversible Counter

Md. Selim Al Mamun, B. K. Karmaker

This article presents a research work on the design and synthesis of sequential circuits and flip-flops that are available in digital arena; and describes a new synthesis design of…

cs.ET2013★ 1 cited

A Novel Approach for Designing Online Testable Reversible Circuits

Md. Selim Al Mamun, Pronab Kumar Mondal, Uzzal Kumar Prodhan

Reversible logic is gaining interest of many researchers due to its low power dissipating characteristic. In this paper we proposed a new approach for designing online testable rev…

cs.CY2013★ 1 cited

Strategy For Assessment Of Land And Complex Fields Type Analysis Through GIS In Bangladesh

Yeasir Fathah Rumi, Uzzal Kumar Prodhan, Mohammed Ibrahim Hussain +2

Bangladesh is an over populated developing country where crisis of food is a major issue, it faces different infrastructure problem in every sector. For Poverty Alleviation from th…

cs.CL2013★ 42 cited

Implementation Of Back-Propagation Neural Network For Isolated Bangla Speech Recognition

Md. Ali Hossain, Md. Mijanur Rahman, Uzzal Kumar Prodhan +1

This paper is concerned with the development of Back-propagation Neural Network for Bangla Speech Recognition. In this paper, ten bangla digits were recorded from ten speakers and…