Application of artificial intelligence for resilient and sustainable healthcare system: Systematic literature review and future research directions
Recent years have witnessed increased pressure across the global healthcare system
during the COVID-19 pandemic. The COVID-19 pandemic shattered existing healthcare …
during the COVID-19 pandemic. The COVID-19 pandemic shattered existing healthcare …
Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
COVID-19 detection using deep learning algorithm on chest X-ray images
Simple Summary The study proposes an automated deep learning-based classification
model, based on a Convolutional Neural Network, that demonstrates a rapid detection rate …
model, based on a Convolutional Neural Network, that demonstrates a rapid detection rate …
Covid-transformer: Interpretable covid-19 detection using vision transformer for healthcare
In the recent pandemic, accurate and rapid testing of patients remained a critical task in the
diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of …
diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of …
Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated …
G Celik - Applied Soft Computing, 2023 - Elsevier
Covid-19 has become a worldwide epidemic which has caused the death of millions in a
very short time. This disease, which is transmitted rapidly, has mutated and different …
very short time. This disease, which is transmitted rapidly, has mutated and different …
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Abstract Background and Objective The global population has been heavily impacted by the
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
A deep fuzzy model for diagnosis of COVID-19 from CT images
From early 2020, a novel coronavirus disease pneumonia has shown a global “pandemic”
trend at an extremely fast speed. Due to the magnitude of its harm, it has become a major …
trend at an extremely fast speed. Due to the magnitude of its harm, it has become a major …
Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environment
N Chander, M Upendra Kumar - Cluster Computing, 2023 - Springer
Abstract Industrial Internet of Things (IIoT) acts as essential part of the revolutionary
transition of conventional industries towards Industry 4.0. By the integration of instruments …
transition of conventional industries towards Industry 4.0. By the integration of instruments …
D3SENet: A hybrid deep feature extraction network for Covid-19 classification using chest X-ray images
Covid-19 is one of the biggest global epidemics seen in the world in recent years. Because
of this, people's daily lifestyles, the economic conditions of countries and individuals, and …
of this, people's daily lifestyles, the economic conditions of countries and individuals, and …
A comprehensive review of COVID-19 detection with machine learning and deep learning techniques
Purpose The first transmission of coronavirus to humans started in Wuhan city of China, took
the shape of a pandemic called Corona Virus Disease 2019 (COVID-19), and posed a …
the shape of a pandemic called Corona Virus Disease 2019 (COVID-19), and posed a …