This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …

To perform landslide susceptibility prediction (LSP), it is important to select appropriate
map** unit and landslide-related conditioning factors. The efficient and automatic multi …

Simple Summary Timely and accurate detection of cardiovascular diseases is critical to
reduce the risk of myocardial infarction. This article proposes a methodology using machine …

The spatial information of rockhead is crucial for the design and construction of tunneling or
underground excavation. Although the conventional site investigation methods (ie borehole …

The optimum site selection of solar photovoltaics power plant across a given geographic
space is usually assessed by using the geographic information system based multi-criteria …

Joints shear strength is a critical parameter during the design and construction of
geotechnical engineering structures. The prevailing models mostly adopt the form of …

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 …

The random finite difference method (RFDM) is a popular approach to quantitatively
evaluate the influence of inherent spatial variability of soil on the deformation of embedded …

High quality coke is a key raw material for the metallurgical industry. The characteristics of
the coal have a significant influence on the parameters of the coke produced and …