The study of supply chain (SC) resilience as a research perspective is in an incipient state.
Nevertheless, there is a tremendous amount of literature concerning SCs under risk and …

In this paper, we evaluate the predictive performance of an adaptive neuro-fuzzy inference
system (ANFIS) using six different membership functions (MF). In combination with a …

The paper proposes a novel architecture for explainable artificial intelligence based on
semantic technologies and artificial intelligence. We tailor the architecture for the domain of …

Financial time series prediction problems, for decision-makers, are always crucial as they
have a wide range of applications in the public and private sectors. This study presents a …

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 …

Featured Application The outcomes of this work can be applied to B2B discrete demand
forecasting in the automotive industry and probably generalized to other demand forecasting …

Electric vehicles (EVs) have been introduced as an alternative to gasoline and diesel cars to
reduce greenhouse gas emissions, optimize fossil fuel use, and protect the environment …

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 …

A large body of research uses data from social media websites to predict offline economic
outcomes such as sales. However, recent research also points out that such data may be …

With the development of the Internet and big data, more and more consumer behavior data
are used in different forecasting problems, which greatly improve the performance of …