[HTML][HTML] COVID-19 at a glance: An up-to-date overview on variants, drug design and therapies
D Iacopetta, J Ceramella, A Catalano, C Saturnino… - Viruses, 2022 - mdpi.com
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a member of the
Coronavirus family which caused the worldwide pandemic of human respiratory illness …
Coronavirus family which caused the worldwide pandemic of human respiratory illness …
Fourier-Bessel representation for signal processing: A review
Several applications, analysis and visualization of signal demand representation of time-
domain signal in different domains like frequency-domain representation based on Fourier …
domain signal in different domains like frequency-domain representation based on Fourier …
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images
In this global pandemic situation of coronavirus disease (COVID-19), it is of foremost priority
to look up efficient and faster diagnosis methods for reducing the transmission rate of the …
to look up efficient and faster diagnosis methods for reducing the transmission rate of the …
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
Hundreds of millions of people worldwide have recently been infected by the novel
Coronavirus disease (COVID-19), causing significant damage to the health, economy, and …
Coronavirus disease (COVID-19), causing significant damage to the health, economy, and …
[图书][B] Time-frequency analysis techniques and their applications
RB Pachori - 2023 - taylorfrancis.com
Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …
include biomedical signals, communication signals, speech, earthquake signals, vibration …
An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer
Optimization is the process of searching for the optimal (best-so-far) solution among a wide
range of solutions. Besides, in the last two decades, a family of algorithms known as …
range of solutions. Besides, in the last two decades, a family of algorithms known as …
Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images
In this era of Coronavirus disease 2019 (COVID-19), an accurate method of diagnosis with
less diagnosis time and cost can effectively help in controlling the disease spread with the …
less diagnosis time and cost can effectively help in controlling the disease spread with the …
[HTML][HTML] A hybrid CNN–KNN approach for identification of COVID-19 with 5-fold cross validation
The novel coronavirus is the new member of the SARS family, which can cause mild to
severe infection in the lungs and other vital organs like the heart, kidney and liver. For …
severe infection in the lungs and other vital organs like the heart, kidney and liver. For …
[HTML][HTML] Quantitative and qualitative analysis of 18 deep convolutional neural network (CNN) models with transfer learning to diagnose COVID-19 on chest X-ray (CXR …
LS Chow, GS Tang, MI Solihin, NM Gowdh… - SN Computer …, 2023 - Springer
Abstract Coronavirus disease 2019 (COVID-19) is a disease caused by a novel strain of
coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), severely …
coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), severely …
[HTML][HTML] An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms
COVID-19 is a respiratory disease that, as of July 15th, 2021, has infected more than 187
million people worldwide and is responsible for more than 4 million deaths. An accurate …
million people worldwide and is responsible for more than 4 million deaths. An accurate …