… Recent studies design an auxiliary tool to increase the accuracy of Covid-19 diagnosis
with new model Automatic COVID-19 detection based on deep learning algorithm [29]. The …

… mechanism, and CNN is the most widely used deep learning … development of machine
learning for COVID-19 and inspire … for COVID-19 and inspire their works for future development. …

… Coronavirus outbreak. Therefore, this chapter intends to provide detailed information on the
usage of machine learning … of COVID-19 patients. Detailed information on the utilization of …

… This study aims to compare deep learning methods to forecast COVID-19 time-series data.
Towards this end, the present work uses two hybrid deep learning models (ie, LSTM-CNN …

… machine learning approach to predict the COVID-19, and we exemplify its potential using
data from Hungary. The hybrid machine learning … of machine learning for future research. …

… Machine Learning (ML) and Deep Learning (DL) techniques on the fight against the Covid-19
… Therefore, we begin this study by reporting some Covid-19-related datasets used to train …

… on the COVID-19 Kaggle data to anticipate the epidemiological example of the ailment and
pace of COVID-2019 cases in India. Anticipated the potential patterns of COVID-19 effects in …

… COVID-19 literature that utilized AI-based methods to provide insights into different COVID-19
… Our findings highlight important variables, data types, and available COVID-19 resources …

… Our findings show that machine learning can produce an important role in COVID-19
investigations, prediction, and discrimination. In conclusion, machine learning can be involved in …

… detection of COVID-19 positive individuals. In this research we employed different machine
learning algorithms using full blood count for the prediction of COVID-19. These algorithms …