Deep learning-based stock price prediction using LSTM and bi-directional LSTM model
…, MMS Maswood, AG Alharbi - 2020 2nd novel …, 2020 - ieeexplore.ieee.org
In the financial world, the forecasting of stock price gains significant attraction. For the growth
of shareholders in a company's stock, stock price prediction has a great consideration to …
of shareholders in a company's stock, stock price prediction has a great consideration to …
[HTML][HTML] Knowledge about COVID-19 and beliefs about and use of herbal products during the COVID-19 pandemic: A cross-sectional study in Saudi Arabia
…, HN Alturki, WI Aburas, AI Alfayez, AS Alharbi… - Saudi Pharmaceutical …, 2020 - Elsevier
The lack of treatment options for COVID-19 has raised many concerns among populations
worldwide, which has led to many attempts to find alternative options to prevent the …
worldwide, which has led to many attempts to find alternative options to prevent the …
Surface Passivation of FAPbI3-Rich Perovskite with Cesium Iodide Outperforms Bulk Incorporation
Metal halide perovskites (MHPs) have shown an incredible increase in efficiency, reaching
as high as 25.7%, which now competes with traditional photovoltaic technologies. Herein, we …
as high as 25.7%, which now competes with traditional photovoltaic technologies. Herein, we …
Comprehensive review of the properties and modifications of carbon fiber-reinforced thermoplastic composites
Carbon fiber-reinforced polymers are considered a promising composite for many industrial
applications including in the automation, renewable energy, and aerospace industries. They …
applications including in the automation, renewable energy, and aerospace industries. They …
BHyPreC: a novel Bi-LSTM based hybrid recurrent neural network model to predict the CPU workload of cloud virtual machine
With the advancement of cloud computing technologies, there is an ever-increasing
demand for the maximum utilization of cloud resources. It increases the computing power …
demand for the maximum utilization of cloud resources. It increases the computing power …
A novel approach based on hybrid vortex search algorithm and differential evolution for identifying the optimal parameters of PEM fuel cell
Fuel cells (FCs) penetrated strongly in many applications, modeling of FCs became a major
challenge in recent years due to their characteristics, there are some missing data in the …
challenge in recent years due to their characteristics, there are some missing data in the …
[HTML][HTML] Archimedes optimization algorithm based maximum power point tracker for wind energy generation system
Improving the operation of wind energy generation system is a big challenge especially
when it operates under unstable weather conditions. Therefore, installing a tracker for …
when it operates under unstable weather conditions. Therefore, installing a tracker for …
Recent approach based movable damped wave algorithm for designing fractional-order PID load frequency control installed in multi-interconnected plants with …
A Fathy, AG Alharbi - IEEE Access, 2021 - ieeexplore.ieee.org
In multi-interconnected power system, keeping the changes in frequencies and tie-line
powers at their specified values is vital process especially during operation under load …
powers at their specified values is vital process especially during operation under load …
Probing molecular environment through photoemission delays
…, I Liontos, AM Kamal, NG Kling, AF Alharbi, M Alharbi… - Nature Physics, 2020 - nature.com
Attosecond chronoscopy has revealed small but measurable delays in photoionization,
characterized by the ejection of an electron on absorption of a single photon. Ionization-delay …
characterized by the ejection of an electron on absorption of a single photon. Ionization-delay …
A novel strategy to achieve bandwidth cost reduction and load balancing in a cooperative three-layer fog-cloud computing environment
Recently, IoT (Internet of Things) has been an attractive area of research to develop smart
home, smart city environment. IoT sensors generate data stream continuously and majority of …
home, smart city environment. IoT sensors generate data stream continuously and majority of …
