Diagnosis of Problems in Truck Ore Transport Operations in Underground Mines Using Various Machine Learning Models and Data Collected by Internet of Things Systems

Bluetooth Beacon-Based Mine Production Management Application to Support Ore Haulage Operations in Underground Mines

(2021) Sebeom Park et al.   Sustainability

Stochastic Predictions of Ore Production in an Underground Limestone Mine Using Different Probability Density Functions: A Comparative Study Using Big Data from ICT System

(2021) Dahee Jung et al.   Applied Sciences-Basel

Analysis and Diagnosis of Truck Transport Routes in Underground Mines Using Transport Time Data Collected through Bluetooth Beacons and Tablet Computers

(2021) Sebeom Park et al.   Applied Sciences-Basel

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

(2020) Yuantao Yao et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

A UAV-Based Framework for Semi-Automated Thermographic Inspection of Belt Conveyors in the Mining Industry

(2020) Regivaldo Carvalho et al.   SENSORS

The impact of class imbalance in classification performance metrics based on the binary confusion matrix

(2019) Amalia Luque et al.   PATTERN RECOGNITION

The Use of a Machine Learning Method to Predict the Real-Time Link Travel Time of Open-Pit Trucks

(2018) Xiaoyu Sun et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN

(2013) D.H. Pandya et al.   EXPERT SYSTEMS WITH APPLICATIONS

Optimal haulage routing of off-road dump trucks in construction and mining sites using Google Earth and a modified least-cost path algorithm

(2011) Yosoon Choi et al.   AUTOMATION IN CONSTRUCTION

Performance assessment of a novel fault diagnosis system based on support vector machines

(2008) Ignacio Yélamos et al.   COMPUTERS & CHEMICAL ENGINEERING