Weakly supervised machine learning
Supervised learning aims to build a function or model that seeks as many mappings as
possible between the training data and outputs, where each training data will predict as a …
possible between the training data and outputs, where each training data will predict as a …
COVID-19 in the age of artificial intelligence: a comprehensive review
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China,
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …
Recurrent neural network and reinforcement learning model for COVID-19 prediction
Detection and prediction of the novel Coronavirus present new challenges for the medical
research community due to its widespread across the globe. Methods driven by Artificial …
research community due to its widespread across the globe. Methods driven by Artificial …
COVID-19 detection based on image regrouping and ResNet-SVM using chest X-ray images
C Zhou, J Song, S Zhou, Z Zhang, J Xing - Ieee Access, 2021 - ieeexplore.ieee.org
As the COVID-19 spread worldwide, countries around the world are actively taking
measures to fight against the epidemic. To prevent the spread of it, a high sensitivity and …
measures to fight against the epidemic. To prevent the spread of it, a high sensitivity and …
Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey
Y Meraihi, AB Gabis, S Mirjalili, A Ramdane-Cherif… - SN computer …, 2022 - Springer
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …
the whole world. The absence of treatment has motivated research in all fields to deal with it …
Detection of COVID-19 using deep learning techniques and cost effectiveness evaluation: a survey
Graphical-design-based symptomatic techniques in pandemics perform a quintessential
purpose in screening hit causes that comparatively render better outcomes amongst the …
purpose in screening hit causes that comparatively render better outcomes amongst the …
Deep learning based diagnosis of COVID-19 using chest CT-scan images
T Anwar, S Zakir - 2020 IEEE 23rd international multitopic …, 2020 - ieeexplore.ieee.org
The Coronavirus disease (COVID-19) is an infectious disease that primarily affects lungs.
This virus has spread in almost every continent. Countries are racing to slow down the …
This virus has spread in almost every continent. Countries are racing to slow down the …
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions
Abstract Since December 2019, the COVID-19 outbreak has resulted in countless deaths
and has harmed all facets of human existence. COVID-19 has been designated an epidemic …
and has harmed all facets of human existence. COVID-19 has been designated an epidemic …
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 …
SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological images
S Chakraborty, K Mali - Expert Systems with Applications, 2021 - Elsevier
Coronavirus disease 2019 or COVID-19 is one of the biggest challenges which are being
faced by mankind. Researchers are continuously trying to discover a vaccine or medicine for …
faced by mankind. Researchers are continuously trying to discover a vaccine or medicine for …