Abstract Electronic nose (E-nose), electronic tongue (E-tongue) and colorimeter combined
with data fusion strategy and different machine learning algorithms (artificial neural network …

Recently, more and more mobile apps are employed in the marketing field with technical
advances. Mobile marketing apps have become a prevalent way for enterprise marketing …

Long-term forecasts are of key importance for the car industry due to the lengthy period of
time required for the development and production processes. With this in mind, this paper …

Recently, glass fibre reinforced polymer (GFRP) rebars have been widely used by different
researchers due to the high strength and deformability of polymer rebars. However, current …

The market demand for electric vehicles (EVs) has increased in recent years. Suitable
models are necessary to understand and forecast EV sales. This study presents a singular …

Accurate demand forecasting is important for automotive manufacturing and sales planning
because it allows firms to minimize costs and improve their effectiveness. Based on the …

The rapid development of machine learning has spurred wide applications to various
industries, where prediction models are built to forecast sales to help enterprises and …

Now, with the amount of data growing exponentially, the rational use of big data has become
the focus of enterprises to serve the future and make better decisions. Using machine …

Forecasting sales and demand over 6–24 month horizon is crucial for planning the
production processes of automotive and other complex product industries (eg, electronics …

An accurate gas-path performance prognostic model would provide supports for aero-
engine performance assessment, maintenance plan optimization, fleet management and …