Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review
COVID-19 has produced a global pandemic affecting all over of the world. Prediction of the
rate of COVID-19 spread and modeling of its course have critical impact on both health …
rate of COVID-19 spread and modeling of its course have critical impact on both health …
Tranad: Deep transformer networks for anomaly detection in multivariate time series data
Efficient anomaly detection and diagnosis in multivariate time-series data is of great
importance for modern industrial applications. However, building a system that is able to …
importance for modern industrial applications. However, building a system that is able to …
Prediction of COVID-19 using genetic deep learning convolutional neural network (GDCNN)
RG Babukarthik, VAK Adiga, G Sambasivam… - Ieee …, 2020 - ieeexplore.ieee.org
Rapid spread of Coronavirus disease COVID-19 leads to severe pneumonia and it is
estimated to create a high impact on the healthcare system. An urgent need for early …
estimated to create a high impact on the healthcare system. An urgent need for early …
An approach to forecast impact of Covid‐19 using supervised machine learning model
S Mohan, A Abugabah, S Kumar Singh… - Software: Practice …, 2022 - Wiley Online Library
The Covid‐19 pandemic has emerged as one of the most disquieting worldwide public
health emergencies of the 21st century and has thrown into sharp relief, among other …
health emergencies of the 21st century and has thrown into sharp relief, among other …
[HTML][HTML] Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the …
The daily reference evapotranspiration (ET o) must be accurately forecasted to improve real-
time irrigation scheduling and decision-making for water resources allocation. In this study …
time irrigation scheduling and decision-making for water resources allocation. In this study …
Prediction of global spread of COVID-19 pandemic: a review and research challenges
S Shah, A Mulahuwaish, KZ Ghafoor… - Artificial Intelligence …, 2022 - Springer
Since the initial reports of the Coronavirus surfacing in Wuhan, China, the novel virus
currently without a cure has spread like wildfire across the globe, the virus spread …
currently without a cure has spread like wildfire across the globe, the virus spread …
Machine-learning-based short-term forecasting of daily precipitation in different climate regions across the contiguous United States
Forecasting the precipitation is needed for water resources management and planning,
irrigation scheduling and flood modeling. The purpose of this research is to obtain short-term …
irrigation scheduling and flood modeling. The purpose of this research is to obtain short-term …
An intelligent framework to predict socioeconomic impacts of COVID-19 and public sentiments
The outbreak of novel coronavirus (COVID-19) has extremely shaken the whole world.
COVID-19 has increased human distress, damaged the global economy, flipped the lives of …
COVID-19 has increased human distress, damaged the global economy, flipped the lives of …
Carol: Confidence-aware resilience model for edge federations
In recent years, the deployment of large-scale Inter-net of Things (IoT) applications has
given rise to edge federations that seamlessly interconnect and leverage resources from …
given rise to edge federations that seamlessly interconnect and leverage resources from …
A hybrid model for coronavirus disease 2019 forecasting based on ensemble empirical mode decomposition and deep learning
S Liu, Y Wan, W Yang, A Tan, J Jian, X Lei - International journal of …, 2022 - mdpi.com
Background: The novel coronavirus pneumonia that began to spread in 2019 is still raging
and has placed a burden on medical systems and governments in various countries. For …
and has placed a burden on medical systems and governments in various countries. For …