On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments
A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
[HTML][HTML] Utilizing CNN-LSTM techniques for the enhancement of medical systems
COVID-19 is one of the most chronic and serious infections of recent years due to its
worldwide spread. Determining who was genuinely affected when the disease spreads …
worldwide spread. Determining who was genuinely affected when the disease spreads …
The public health contribution of sentiment analysis of Monkeypox tweets to detect polarities using the CNN-LSTM model
O Iparraguirre-Villanueva, A Alvarez-Risco… - Vaccines, 2023 - mdpi.com
Monkeypox is a rare disease caused by the monkeypox virus. This disease was considered
eradicated in 1980 and was believed to affect rodents and not humans. However, recent …
eradicated in 1980 and was believed to affect rodents and not humans. However, recent …
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 …
Interpretable temporal attention network for COVID-19 forecasting
The worldwide outbreak of coronavirus disease 2019 (COVID-19) has triggered an
unprecedented global health and economic crisis. Early and accurate forecasts of COVID-19 …
unprecedented global health and economic crisis. Early and accurate forecasts of COVID-19 …
Deep Learning Algorithm for COVID‐19 Classification Using Chest X‐Ray Images
S VJ - Computational and Mathematical Methods in Medicine, 2021 - Wiley Online Library
Early diagnosis of the harmful severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐
2), along with clinical expertise, allows governments to break the transition chain and flatten …
2), along with clinical expertise, allows governments to break the transition chain and flatten …
A bidirectional long short-term memory model algorithm for predicting COVID-19 in gulf countries
THH Aldhyani, H Alkahtani - Life, 2021 - mdpi.com
Accurate prediction models have become the first goal for aiding pandemic-related
decisions. Modeling and predicting the number of new active cases and deaths are …
decisions. Modeling and predicting the number of new active cases and deaths are …
Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study
Using medical science alongside time series data analysis can be given a strong tool to
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …
Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT‐Scan Images
COVID‐19 has sparked a global pandemic, with a variety of inflamed instances and deaths
increasing on an everyday basis. Researchers are actively increasing and improving distinct …
increasing on an everyday basis. Researchers are actively increasing and improving distinct …
Hybrid ensemble deep learning-based approach for time series energy prediction
The energy manufacturers are required to produce an accurate amount of energy by
meeting the energy requirements at the end-user side. Consequently, energy prediction …
meeting the energy requirements at the end-user side. Consequently, energy prediction …