Melfi Alrasheed's research while affiliated with King Faisal University and other places
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Publications (3)
The Covid-19 epidemic poses a serious public health threat to the world, where people with little or no pre-existing human immunity can be more vulnerable to its effects. Thus, developing surveillance systems for predicting the Covid-19 pandemic at an early stage could save millions of lives. In this study, a deep learning algorithm and a Holt-tren...
Network traffic analysis and predictions have become vital for monitoring networks. Network prediction is the process of capturing network traffic and examining it deeply to decide what is the occurrence in the network. The accuracy of analysis and estimation of network traffic are increasingly becoming significant in achieving guaranteed Quality o...
According to WHO, more than one million individuals are infected with COVID-19, and around 20000 people have died because of this infectious disease around the world. In addition, COVID-19 epidemic poses serious public health threat to the world where people with little or no pre-existing human immunity can be more vulnerable to the effects of the...
Citations
... Deep Learning, with its robust capabilities in pattern recognition and predictive analytics, presented a novel solution. Leveraging vast datasets, DL algorithms have enhanced the accuracy and efficiency of COVID-19 detection, significantly impacting public health responses (Abdel-Jaber et al., 2022;Aldhyani et al., 2021;Wang et al., 2023). ...
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... In addition, although not directly, instructor pushing and attention processes can assist LSTM networks in indirectly incorporating information from future time steps. Although LSTM networks do not explicitly incorporate future data in their processing, they can still be highly effective for various tasks such as time series forecasting and sequence prediction [59]. This is especially true when trained on extensive datasets containing ample past information. ...
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... Developing a model for the spread and effects of COVID-19 can be tremendously important for understanding the COVID-19 impact [51]. In fact, artificial intelligence and traditional statistical models can help in modeling and forecasting COVID-19 [52][53][54][55][56][57]. In the current research work, the main goal was to achieve an accurate prediction model using a deep learning algorithm. ...
