[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
COVID-19 case recognition from chest CT images by deep learning, entropy-controlled firefly optimization, and parallel feature fusion
In healthcare, a multitude of data is collected from medical sensors and devices, such as X-
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …
A novel chaos-based privacy-preserving deep learning model for cancer diagnosis
Early cancer identification is regarded as a challenging problem in cancer prevention for the
healthcare community. In addition, ensuring privacy-preserving healthcare data becomes …
healthcare community. In addition, ensuring privacy-preserving healthcare data becomes …
A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks
The Internet of Things (IoT) is prone to malware assaults due to its simple installation and
autonomous operating qualities. IoT devices have become the most tempting targets of …
autonomous operating qualities. IoT devices have become the most tempting targets of …
Randomly initialized convolutional neural network for the recognition of COVID‐19 using X‐ray images
By the start of 2020, the novel coronavirus (COVID‐19) had been declared a worldwide
pandemic, and because of its infectiousness and severity, several strands of research have …
pandemic, and because of its infectiousness and severity, several strands of research have …
Smart city data sensing during COVID-19: Public reaction to accelerating digital transformation
The article presents the results of the analysis of the adaptation of metropolis IT technologies
to solve operational problems in extreme conditions during the COVID-19 pandemic. The …
to solve operational problems in extreme conditions during the COVID-19 pandemic. The …
Notice of Retraction: Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning
MU Rehman, S Najam, S Khalid… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The liver is a vital human body organ and its functionality can be degraded by several
diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early …
diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early …
Novel privacy preserving non-invasive sensing-based diagnoses of pneumonia disease leveraging deep network model
This article presents non-invasive sensing-based diagnoses of pneumonia disease,
exploiting a deep learning model to make the technique non-invasive coupled with security …
exploiting a deep learning model to make the technique non-invasive coupled with security …
Efficient lung cancer detection using computational intelligence and ensemble learning
Lung cancer emerges as a major factor in cancer-related fatalities in the current generation,
and it is predicted to continue having a long-term impact. Detecting symptoms early …
and it is predicted to continue having a long-term impact. Detecting symptoms early …
A novel machine learning technique for selecting suitable image encryption algorithms for IoT applications
The Internet of Things connects billions of intelligent devices that can interact with one
another without human intervention, and during communication, a large amount of data is …
another without human intervention, and during communication, a large amount of data is …