A comprehensive survey of recent trends in deep learning for digital images augmentation

NE Khalifa, M Loey, S Mirjalili - Artificial Intelligence Review, 2022 - Springer
Deep learning proved its efficiency in many fields of computer science such as computer
vision, image classifications, object detection, image segmentation, and more. Deep …

Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection

M Loey, G Manogaran, MHN Taha… - Sustainable cities and …, 2021 - Elsevier
Deep learning has shown tremendous potential in many real-life applications in different
domains. One of these potentials is object detection. Recent object detection which is based …

A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic

M Loey, G Manogaran, MHN Taha, NEM Khalifa - Measurement, 2021 - Elsevier
The coronavirus COVID-19 pandemic is causing a global health crisis. One of the effective
protection methods is wearing a face mask in public areas according to the World Health …

Within the lack of chest COVID-19 X-ray dataset: a novel detection model based on GAN and deep transfer learning

M Loey, F Smarandache, NE M. Khalifa - Symmetry, 2020 - mdpi.com
The coronavirus (COVID-19) pandemic is putting healthcare systems across the world under
unprecedented and increasing pressure according to the World Health Organization (WHO) …

Detection of coronavirus (COVID-19) associated pneumonia based on generative adversarial networks and a fine-tuned deep transfer learning model using chest X …

NEM Khalifa, MHN Taha, AE Hassanien… - … on Advanced Intelligent …, 2022 - Springer
The COVID-19 coronavirus is one of the devastating viruses according to the world health
organization. This novel virus leads to pneumonia, which is an infection that inflames the …

Face mask detection using OpenCV

H Adusumalli, D Kalyani, RK Sri… - … and Virtual Mobile …, 2021 - ieeexplore.ieee.org
The COVID-19 pandemic is causing a worldwide emergency in healthcare. This virus mainly
spreads through droplets which emerge from a person infected with coronavirus and poses …

Artificial intelligence technique for gene expression by tumor RNA-Seq data: a novel optimized deep learning approach

NEM Khalifa, MHN Taha, DE Ali, A Slowik… - IEEE …, 2020 - ieeexplore.ieee.org
Cancer is one of the most feared and aggressive diseases in the world and is responsible
for more than 9 million deaths universally. Staging cancer early increases the chances of …

Machine learning algorithms in microbial classification: a comparative analysis

Y Wu, SA Gadsden - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
This research paper presents an overview of contemporary machine learning
methodologies and their utilization in the domain of healthcare and the prevention of …

Metaverse and microorganism digital twins: A deep transfer learning approach

MB Jamshidi, S Sargolzaei, S Foorginezhad… - Applied Soft …, 2023 - Elsevier
Preparing the infrastructure for analyzing, recognizing, and characterizing microorganisms
in the Metaverse can transform the fields of biology, medicine, and drug discovery …

A study of the neutrosophic set significance on deep transfer learning models: An experimental case on a limited covid-19 chest x-ray dataset

NEM Khalifa, F Smarandache, G Manogaran… - Cognitive …, 2021 - Springer
Coronavirus, also known as COVID-19, has spread to several countries around the world. It
was announced as a pandemic disease by The World Health Organization (WHO) in 2020 …