As part of the artificial intelligence (AI) industry there are many companies engaged in
providing hardware that enhances the use of artificial intelligence technology for big data …

Oil and gas exploration in Indonesia currently requires novel methods during the initial
screening of exploration areas that are effective, inexpensive, and utilize open data. This is …

The study aims the analysis the introduction of information technologies into the
international accounting system of organisations in the fuel and energy sector, in particular …

The most common indirect method the Oil and Gas industry uses to survey an area looking
for hydrocarbon accumulations is based on the physical principle of seismic reflection …

Computer intelligent models are the order of the day for the manipulation of data to better
understand the trend of complex situations under the questioned industry. The petroleum …

This research aims to test the effect of a generative-based online training model on the
digital capabilities of MSME players. This research uses quantitative research methods …

The quantitative study examines the cultural dimensions and ethical leadership style
preferences among technology industry managers in the United States. Utilizing Hofstede's …

Imbalanced datasets present a challenge for machine learning models as they can lead to
bias towards the majority class, resulting in poor performance for the minority class. In this …

This study examines the effects of artificial intelligence on oil shocks (supply, demand, and
risk shocks) across different time scales and market conditions, using the wavelet-based …

Background: The oil and gas industry requires efficient reservoir management and accurate
production forecasting to optimize operations and reduce costs. Traditional physics-based …