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 …

Long-term production planning (LTPP) is a large-scale optimization problem that aims to find
the block extraction sequence that produces the maximum possible net present value (NPV) …

Ground vibration (PPV) is one of the hazard effects induced by blasting operations in open-
pit mines, which can affect the surrounding structures, particularly the stability of benches …

Hematologic diseases and blood disorders can be studied through the microscopic or
chemical examination of blood smear images. Many researchers work on identifying …

The kidneys have an essential role in the body; if it does not work properly, it will cause
disease, one of which is chronic kidney failure (CRF). Therefore, a machine learning …

Predicting the drill penetration rate is a fundamental requirement in mining operations,
profoundly impacting both the cost-effectiveness of mining activities and strategic mine …

Active school commuting makes a vital contribution to physical activity, thus improving the
health and well-being for children and adolescents. The built environment is widely …

Background: Evaluating the risk of metastasis and recurrence of a cervical cancer patient is
critical for appropriate adjuvant therapy. However, current risk assessment models usually …

Predicting electricity power consumption is an important task which provides intelligence to
utilities and helps them to improve their systems' performance in terms of productivity and …

Parameter optimization is one of methods to improve accuracy of machine learning
algorithms. This study applied the grid search method for tuning parameters in the well …