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QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model
(
Elsevier
, 2022 , Article)
The reverse transcription-polymerase chain reaction (RT-PCR) test is considered the current gold standard for the detection of coronavirus disease (COVID-19), although it suffers from some shortcomings, namely comparatively ...
Field-Oriented Control of Five-Phase Induction Motor fed from Space Vector Modulated Matrix Converter
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
This paper presents the field-oriented control (FOC) of a five-phase induction motor (FPIM) fed from a three-to-five phase direct matrix converter (DMC). The article focuses on the modulation and control of the three-to-five ...
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
(
Elsevier
, 2022 , Article)
The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on
the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate
scheduling ...
Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media
(
MDPI
, 2022 , Article)
This study constructs a machine learning method to simultaneously analyze the thermodynamic behavior of many polymer-drug systems. The solubility temperature of Acetaminophen, Celecoxib, Chloramphenicol, D-Mannitol, ...
Blind ECG Restoration by Operational Cycle-GANs
(
IEEE Computer Society
, 2022 , Article)
Objective: ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies ...
A Review of Biomaterials and Associated Performance Metrics Analysis in Pre-Clinical Finite Element Model and in Implementation Stages for Total Hip Implant System
(
MDPI
, 2022 , Article Review)
Total hip replacement (THR) is a common orthopedic surgery technique that helps thousands of individuals to live normal lives each year. A hip replacement replaces the shattered cartilage and bone with an implant. Most hip ...
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
(
MDPI
, 2022 , Article)
Cardiovascular diseases are one of the most severe causes of mortality, annually taking a heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the most viable option, but this demands an ...
Genomic landscape of prominent XDR Acinetobacter clonal complexes from Dhaka, Bangladesh
(
BioMed Central Ltd
, 2022 , Article)
Background: Acinetobacter calcoaceticus-A. baumannii (ACB) complex pathogens are known for their prevalence in nosocomial infections and extensive antimicrobial resistance (AMR) capabilities. While genomic studies worldwide ...
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
(
MDPI
, 2022 , Article)
With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient ...