The significant increase in data availability and high-computing power and innovations in
real-time monitoring systems enable the technological transformation of the mining industry …

Accurately and efficiently predicting the fuel consumption of vehicles is the key to improving
their fuel economy. This paper provides a comprehensive review of data-driven fuel …

In this study, a unique incorporated version is presented to enhance the dynamic viscosity of
MWCNT-Al 2 O 3 (40: 60)/Oil 5W50 hybrid nanofluid (HNF) the usage of the 3 maximum vast …

One of the most prevalent problems in drilling industry is lost circulation which causes
intense increase in drilling expenditure as well as operational obstacles such as well …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

The precise measurement of effective wind speed is a crucial task and has huge impact on
wind turbine output power, safety and control performance. In this study, a hybrid intelligent …

Rate of penetration (ROP) prediction, can assist precise planning of drilling operations and
can reduce drilling costs. However, easy estimation of this key factor by traditional or …

In mountainous terrains, the frequent landslides and their associated impacts on human
lives and the economy is increasing globally. Development of landslide inventory and …

Photovoltaic solar energy is booming due to the continuous improvement in photovoltaic
panel efficiency along with a downward trend in production costs. In addition, the European …

One of the key factors in a profitable open-pit mine is the efficiency of the waste disposal
system. Using GPS-technology, the truck-dispatching decisions can be made in real-time but …