A comprehensive review of machine learning used to combat COVID-19
Coronavirus disease (COVID-19) has had a significant impact on global health since the
start of the pandemic in 2019. As of June 2022, over 539 million cases have been confirmed …
start of the pandemic in 2019. As of June 2022, over 539 million cases have been confirmed …
Smart healthcare: A prospective future medical approach for COVID-19
COVID-19 has greatly affected human life for over 3 years. In this review, we focus on smart
healthcare solutions that address major requirements for coping with the COVID-19 …
healthcare solutions that address major requirements for coping with the COVID-19 …
PETLFC: Parallel ensemble transfer learning based framework for COVID-19 differentiation and prediction using deep convolutional neural network models
P Misra, N Panigrahi, S Gopal Krishna Patro… - Multimedia Tools and …, 2024 - Springer
Despite a worldwide research involvement in the global COVID-19 pandemic, the research
community is still struggling to develop reliable and faster prediction mechanisms for this …
community is still struggling to develop reliable and faster prediction mechanisms for this …
[HTML][HTML] A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs
The high transmission rate of COVID-19 and the lack of quick, robust, and intelligent systems
for its detection have become a point of concern for the public, Government, and health …
for its detection have become a point of concern for the public, Government, and health …
ETSVF-COVID19: efficient two-stage voting framework for COVID-19 detection
K Akyol - Neural Computing and Applications, 2024 - Springer
COVID-19 disease, an outbreak in the spring of 2020, reached very alarming dimensions for
humankind due to many infected patients during the pandemic and the heavy workload of …
humankind due to many infected patients during the pandemic and the heavy workload of …
Internet of medical things in the COVID-19 Era: a systematic literature review
A Hemmati, AM Rahmani - Sustainability, 2022 - mdpi.com
In recent years, the medical industry has rapidly modernized, incorporating technology to aid
in accelerating and simplifying procedures for better accuracy. This technology is becoming …
in accelerating and simplifying procedures for better accuracy. This technology is becoming …
Multi-condition controlled sedimentary facies modeling based on generative adversarial network
F Hu, C Wu, J Shang, Y Yan, L Wang… - Computers & Geosciences, 2023 - Elsevier
Obtaining reliable sedimentary facies models is critical for geology, which primarily involves
inferring conditional distributions from sparse wells. Multiple-point simulation (MPS) …
inferring conditional distributions from sparse wells. Multiple-point simulation (MPS) …
Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers
Glaucoma is an eye disease that damages the optic nerve as a result of vision loss, it is the
leading cause of blindness worldwide. Due to the time‐consuming, inaccurate, and manual …
leading cause of blindness worldwide. Due to the time‐consuming, inaccurate, and manual …
Optimized transfer learning based dementia prediction system for rehabilitation therapy planning
PH Kuo, CT Huang, TC Yao - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Dementia is a neurodegenerative disease that causes a progressive deterioration of
thinking, memory, and the ability to perform daily tasks. Other common symptoms include …
thinking, memory, and the ability to perform daily tasks. Other common symptoms include …
A Hybrid Deep Fused Learning Approach to Segregate Infectious Diseases.
J Rasheed, S Alsubai - Computers, Materials & Continua, 2023 - search.ebscohost.com
Humankind is facing another deadliest pandemic of all times in history, caused by COVID-
19. Apart from this challenging pandemic, World Health Organization (WHO) considers …
19. Apart from this challenging pandemic, World Health Organization (WHO) considers …