A labeling method for financial time series prediction based on trends
Time series prediction has been widely applied to the finance industry in applications such
as stock market price and commodity price forecasting. Machine learning methods have …
as stock market price and commodity price forecasting. Machine learning methods have …
Liquified Petroleum Gas-Fuelled Vehicle CO2 Emission Modelling Based on Portable Emission Measurement System, On-Board Diagnostics Data, and Gradient …
M Mądziel - Energies, 2023 - mdpi.com
One method to reduce CO2 emissions from vehicle exhaust is the use of liquified petroleum
gas (LPG) fuel. The global use of this fuel is high in European countries such as Poland …
gas (LPG) fuel. The global use of this fuel is high in European countries such as Poland …
Intrusion, anomaly, and attack detection in smart vehicles
ST Banafshehvaragh, AM Rahmani - Microprocessors and Microsystems, 2023 - Elsevier
With the advancement of technology and Internet penetration in all aspects of life in today's
modern world, smart vehicles, particularly connected vehicles, are rising. As a result, as …
modern world, smart vehicles, particularly connected vehicles, are rising. As a result, as …
Clustering for smart cities in the internet of things: a review
Nowadays, internet of things (IoT) applications, especially in smart cities, are fast
developing. Clustering is a promising solution for handling IoT issues such as energy …
developing. Clustering is a promising solution for handling IoT issues such as energy …
[HTML][HTML] BIM-based architectural analysis and optimization for construction 4.0 concept (a comparison)
The growing need for electricity has put Pakistan's burgeoning economy in peril. The notion
of “Construction 4.0 ″is considered in this study since it enables the greatest utilization of …
of “Construction 4.0 ″is considered in this study since it enables the greatest utilization of …
Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirs
AP Souza, BA Oliveira, ML Andrade… - Science of the Total …, 2023 - Elsevier
Monitoring water quality in reservoirs is essential for the maintenance of aquatic ecosystems
and socioeconomic services. In this scenario, the observation of abrupt elevations of …
and socioeconomic services. In this scenario, the observation of abrupt elevations of …
A stock market trading framework based on deep learning architectures
Market prediction has been a key interest for professionals around the world. Numerous
modern technologies have been applied in addition to statistical models over the years …
modern technologies have been applied in addition to statistical models over the years …
Stock price forecasting for jordan insurance companies amid the covid-19 pandemic utilizing off-the-shelf technical analysis methods
One of the most difficult problems analysts and decision-makers may face is how to improve
the forecasting and predicting of financial time series. However, several efforts were made to …
the forecasting and predicting of financial time series. However, several efforts were made to …
Ensemble technique with optimal feature selection for Saudi stock market prediction: a novel hybrid red deer-grey algorithm
SS Alotaibi - IEEE Access, 2021 - ieeexplore.ieee.org
The forecast of the stock price attempts to assess the potential movement of the financial
exchange's stock value. The exact estimation of the movement of share price would …
exchange's stock value. The exact estimation of the movement of share price would …
Implementation of Long Short-Term Memory and Gated Recurrent Units on grouped time-series data to predict stock prices accurately
Stocks are an attractive investment option because they can generate large profits
compared to other businesses. The movement of stock price patterns in the capital market is …
compared to other businesses. The movement of stock price patterns in the capital market is …