The development of Arctic marine resources is currently the focus of the world's largest oil
and gas companies, which is due to the presence of significant hydrocarbon reserves …

This paper introduces a novel algorithm for big data time series forecasting. Its main novelty
lies in its ability to deal with multivariate data, ie to consider multiple time series …

The capability to develop a reliable 'Estimate at Completion'from the earliest stage of project
execution is essential in order to develop a proactive project management. In order to …

Superforecasting has drawn the attention of academics-despite earlier contradictory findings
in the literature, arguing that humans can consistently and successfully forecast over long …

Forecasting special events such as conflicts and epidemics is challenging because of their
nature and the limited amount of historical information from which a reference base can be …

Purpose: The purpose of the present study was to determine the strategic future of the
Sepahan sports club. Methodology: In the present study, cross-effects analysis was used as …

In this research, an extended random forest algorithm for multivariate time series several
steps forecasting is proposed. Peoposed method consists input layer and hidden layers …

Forecasting the success of megaprojects, such as the Olympic Games or space exploration
missions, is a very difficult but important task, due to their complexity and the large capital …

The paper focuses on the importance of an early engagement of stakeholders to manage
the project along its entire life cycle. An increasing level of uncertainty and complexity tends …

The purpose of this study is to investigate the challenges influencing the implementation of
business strategies in public sector firms in Kenya through a survey of parastatals in the …