[HTML][HTML] Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models
The heat increase caused by climate change has worsened the urban heat environment and
damaged human health, which has led to heat-related mortality. One of the most important …
damaged human health, which has led to heat-related mortality. One of the most important …
Discrimination of mine seismic events and blasts using the fisher classifier, naive bayesian classifier and logistic regression
L Dong, J Wesseloo, Y Potvin, X Li - Rock Mechanics and Rock …, 2016 - Springer
Seismic events and blasts generate seismic waveforms that have different characteristics.
The challenge to confidently differentiate these two signatures is complex and requires the …
The challenge to confidently differentiate these two signatures is complex and requires the …
Sentiment analysis on E-sports for education curriculum using naive Bayes and support vector machine
The development of e-sports education is not just playing games, but about start making,
development, marketing, research and other forms education aimed at training skills and …
development, marketing, research and other forms education aimed at training skills and …
Discrimination of mining microseismic events and blasts using convolutional neural networks and original waveform
L Dong, Z Tang, X Li, Y Chen, J Xue - Journal of Central South University, 2020 - Springer
Microseismic monitoring system is one of the effective methods for deep mining geo-stress
monitoring. The principle of microseismic monitoring system is to analyze the mechanical …
monitoring. The principle of microseismic monitoring system is to analyze the mechanical …
Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review
Fluid loss to subsurface formations is a challenging aspect during drilling operations in
petroleum industry. Several other drilling issues such as fluid influx and pipe sticking can be …
petroleum industry. Several other drilling issues such as fluid influx and pipe sticking can be …
Discriminant models of blasts and seismic events in mine seismology
LJ Dong, J Wesseloo, Y Potvin, XB Li - International Journal of Rock …, 2016 - Elsevier
Microseismic monitoring gives mining engineers information about the local state and stress
conditions of the rock mass. By receiving real-time information on the location of seismic …
conditions of the rock mass. By receiving real-time information on the location of seismic …
Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China
X Xu, P Gao, X Zhu, W Guo, J Ding, C Li, M Zhu… - Ecological indicators, 2019 - Elsevier
Agro-meteorological condition plays a fundamental role in crop production. For a specific
region, the comprehensive effects of multiple meteorological factors are important indicators …
region, the comprehensive effects of multiple meteorological factors are important indicators …
Pre-alarm system based on real-time monitoring and numerical simulation using internet of things and cloud computing for tailings dam in mines
The tailings dam, a necessary facility to maintain the normal operation of mining enterprises,
is a hazard source of human-caused debris flow with high potential energy. The real-time …
is a hazard source of human-caused debris flow with high potential energy. The real-time …
Automatic identification of rockfalls and volcano-tectonic earthquakes at the Piton de la Fournaise volcano using a Random Forest algorithm
Monitoring the endogenous seismicity of volcanoes helps to forecast eruptions and prevent
their related risks, and also provides critical information on the eruptive processes. Due the …
their related risks, and also provides critical information on the eruptive processes. Due the …
Global nuclear explosion discrimination using a convolutional neural network
Using P‐wave seismograms, we trained a seismic source classifier using a Convolutional
Neural Network. We trained for three classes: earthquake P‐wave, underground nuclear …
Neural Network. We trained for three classes: earthquake P‐wave, underground nuclear …