Enhanced prediction of stock markets using a novel deep learning model PLSTM-TAL in urbanized smart cities.

Accurate predictions of stock markets are important for investors and other stakeholders of the equity markets to formulate profitable investment strategies. The improved accuracy of a prediction model even with a slight margin can translate into considerable monetary returns. However, the stock markets' prediction is regarded as an intricate research problem for the noise, complexity and volatility of the stocks' data.

The prevalence of seatbelt and mobile phone use among drivers in Riyadh, Saudi Arabia: An observational study.

Introduction: Road traffic injuries (RTIs) are the third leading cause of death in Saudi Arabia. Numerous factors may increase the likelihood of RTIs. The prevalence of risk factors associated with RTIs may vary due to several reasons.

Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS).

Traffic accidents have become an important problem for governments, researchers and vehicle manufacturers over the last few decades. However, accidents are unfortunate and frequently occur on the road and cause death, damage to infrastructure, and health injuries. Therefore, there is a need to develop a protocol to avoid or prevent traffic accidents at the extreme level in order to reduce human loss.