Application of artificial intelligence and big data for fighting COVID-19 pandemic
JB Awotunde, S Oluwabukonla, C Chakraborty… - Decision Sciences for …, 2022 - Springer
Abstract The coronavirus (COVID-19) pandemic is playing sensitive havoc in socio-
communal systems, humanity and creates economic crises worldwide. Many strategies have …
communal systems, humanity and creates economic crises worldwide. Many strategies have …
Explainable AI for fighting COVID-19 pandemic: Opportunities, challenges, and future prospects
Abstract Novel coronavirus illness 2019 (COVID-19) continues to spread exponentially and
has incurred over 7,000,000 infections and 400,000 deaths worldwide. To build an efficient …
has incurred over 7,000,000 infections and 400,000 deaths worldwide. To build an efficient …
An ensemble tree-based model for intrusion detection in industrial internet of things networks
With less human involvement, the Industrial Internet of Things (IIoT) connects billions of
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
A modified reverse-based analysis logic mining model with Weighted Random 2 Satisfiability logic in Discrete Hopfield Neural Network and multi-objective training of …
Over the years, the study on logic mining approach has increased exponentially. However,
most logic mining models disregarded any efforts in expanding the search space which led …
most logic mining models disregarded any efforts in expanding the search space which led …
An improved machine learnings diagnosis technique for COVID-19 pandemic using chest X-ray images
The pandemic produced by coronavirus2 (COVID-19) has confined the world, and avoiding
close human contact is still suggested to combat the outbreak although the vaccination …
close human contact is still suggested to combat the outbreak although the vaccination …
Breast cancer diagnosis based on hybrid rule-based feature selection with deep learning algorithm
Purpose One of the leading causes of death among women is breast cancer. However, it
has been established that early diagnosis with accurate results can ensure the prolonged …
has been established that early diagnosis with accurate results can ensure the prolonged …
Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): Healthcare systems perspective
The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult due to …
(AI). Nevertheless, applying AI applications in scientific contexts is difficult due to …
Artificial intelligence and an edge-IoMT-based system for combating COVID-19 pandemic
The novel severe contagious respiratory syndrome coronavirus called (COVID-19) has
caused the greatest global challenge and public health, after the pandemic of influenza …
caused the greatest global challenge and public health, after the pandemic of influenza …
Heart disease classification using machine learning models
Heart Disease (HD) is a candidate for the utmost communal death-recording diseases in
history and an early detection is a herculean task for countless physicians. This paper aims …
history and an early detection is a herculean task for countless physicians. This paper aims …
[图书][B] IoT-Enabled Convolutional Neural Networks: Techniques and Applications
Convolutional neural networks (CNNs), a type of deep neural network that has become
dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest …
dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest …