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Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
Trends in using deep learning algorithms in biomedical prediction systems
Y Wang, L Liu, C Wang - Frontiers in Neuroscience, 2023 - frontiersin.org
In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …
[HTML][HTML] Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal …
Several machine learning and deep learning models were reported in the literature to
forecast COVID-19 but there is no comprehensive report on the comparison between …
forecast COVID-19 but there is no comprehensive report on the comparison between …
Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images
The devastating outbreak of Coronavirus Disease (COVID-19) cases in early 2020 led the
world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 …
world to face health crises. Subsequently, the exponential reproduction rate of COVID-19 …
COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization
Coronavirus disease 2019 (COVID-19) is a highly contagious disease that has claimed the
lives of millions of people worldwide in the last 2 years. Because of the disease's rapid …
lives of millions of people worldwide in the last 2 years. Because of the disease's rapid …
CNN-BI-LSTM-CYP: A deep learning approach for sugarcane yield prediction
Sugarcane (Saccharum officinarum L.) is one of the principal origins of sugar and is also
known as the main cash crop of India. About 19.07% of the total production of the world's …
known as the main cash crop of India. About 19.07% of the total production of the world's …
Comparison of tree-based model with deep learning model in predicting effluent pH and concentration by capacitive deionization
Capacitive deionization (CDI) is an emerging technique for water treatment and
electroadsorption processes (ie, brackish water desalination). Various numerical modeling …
electroadsorption processes (ie, brackish water desalination). Various numerical modeling …
FCMCPS-COVID: AI propelled fog–cloud inspired scalable medical cyber-physical system, specific to coronavirus disease
Medical cyber–physical systems (MCPS) firmly integrate a network of medical objects.
These systems are highly efficacious and have been progressively used in the Healthcare …
These systems are highly efficacious and have been progressively used in the Healthcare …
Classification of bread wheat varieties with a combination of deep learning approach
Wheat is one of the most produced and consumed grain products worldwide. Wheat is the
main grain product in developed and underdeveloped countries. Flour obtained from wheat …
main grain product in developed and underdeveloped countries. Flour obtained from wheat …
COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control
COVID-19 has brought significant changes to our political, social, and technological
landscape. This paper explores the emergence and global spread of the disease and …
landscape. This paper explores the emergence and global spread of the disease and …