A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics
Covid-19 disease caused by novel coronavirus (SARS-CoV-2) is a highly contagious
epidemic that originated in Wuhan, Hubei Province of China in late December 2019. World …
epidemic that originated in Wuhan, Hubei Province of China in late December 2019. World …
Gradient boosting machine and efficient combination of features for speech-based detection of COVID-19
In recent times, speech-based automatic disease detection systems have shown several
promising results in biomedical and life science applications, especially in the case of …
promising results in biomedical and life science applications, especially in the case of …
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
A Hamza, M Attique Khan, SH Wang… - Frontiers in Public …, 2022 - frontiersin.org
The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a
result, it has disastrous consequences for people's lives, public health, and the global …
result, it has disastrous consequences for people's lives, public health, and the global …
MobiRes-net: a hybrid deep learning model for detecting and classifying olive leaf diseases
The Kingdom of Saudi Arabia is considered to be one of the world leaders in olive
production accounting for about 6% of the global olive production. Given the fact that 94% of …
production accounting for about 6% of the global olive production. Given the fact that 94% of …
Deep learning for resource management in Internet of Things networks: a bibliometric analysis and comprehensive review
SO Olatinwo, TH Joubert - IEEE Access, 2022 - ieeexplore.ieee.org
In this study, we conducted a bibliometric analysis and comprehensive review of the studies
published between the period of 2012 and 2022 on resource management in internet of …
published between the period of 2012 and 2022 on resource management in internet of …
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
O Attallah - Digital Health, 2022 - journals.sagepub.com
The accurate and rapid detection of the novel coronavirus infection, coronavirus is very
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
Disease analysis using machine learning approaches in healthcare system
This paper addresses disease analysis using machine learning approaches in healthcare
system. Several approaches have been used to identify various disease as their …
system. Several approaches have been used to identify various disease as their …
An optimized deep learning model for human activity recognition using inertial measurement units
Human activity recognition (HAR) has recently gained popularity due to its applications in
healthcare, surveillance, human‐robot interaction, and various other fields. Deep learning …
healthcare, surveillance, human‐robot interaction, and various other fields. Deep learning …
Revolutionizing Diabetic Retinopathy Diagnostics and Therapy through Artificial Intelligence: A Smart Vision Initiative
Using artificial intelligence (AI) to its transformative advantage, the smart vision initiative
represents a paradigm shift in the diagnostics and treatment of diabetic retinopathy. The …
represents a paradigm shift in the diagnostics and treatment of diabetic retinopathy. The …