This study aimed to evaluate the components of a fintech ecosystem for distributed energy
investments. A new decision-making model was created using multiple stepwise weight …

This study aims to identify critical factors of the sustainability index (SI) and evaluate the
industries listed in the stock exchange based on the performance of this index. For this …

Construction scheduling is a complex process that involves a large number of variables,
making it difficult to develop accurate and efficient schedules. Traditional scheduling …

This paper proposes a new model to study carbon emission issues in seven emerging (E7)
economies (China, Mexico, Turkey, Russia, Brazil, Indonesia and India). It employs …

Artificial intelligence (AI) has advanced rapidly, but it has limited impact on biomedical text
understanding due to a lack of annotated datasets (aka few-shot learning). Multi-task …

Tunnel Boring Machines (TBMs) are extensively used to excavate underground spaces in
civil and tunneling projects. An accurate evaluation of their penetration rate is the key factor …

Abstract Tunnel Boring Machine (TBM) penetration rate prediction is one of the most
important problem in tunneling projects. Estimating of Tunnel Boring Machine (TBM) …

The bearing temperature forecasting provide can provide early detection of the gearbox
operating status of wind turbines. To achieve high precision and reliable performance in …

Mine water inflow is an important basis for the formulation of mining plans and the utilization
of groundwater resources. The mine water inflow is the result of the combined influence of …

Analysing and predicting the advance rate of a tunnel boring machine (TBM) in hard rock is
integral to tunnelling project planning and execution. It has been applied in the industry for …