Yuanyuan Pu

发表

A Principal Component Analysis/Fuzzy Comprehensive Evaluation for Rockburst Potential in Kimberlite

D. Apel, Yuanyuan Pu, Huawei Xu, 2018, Pure and Applied Geophysics.

Evaluation of Rockburst Potential in Kimberlite Using Fruit Fly Optimization Algorithm and Generalized Regression Neural Networks

D. Apel, Y. Pourrahimian, Yuanyuan Pu, 2019 .

Experimental study on uniaxial compression failure modes and acoustic emission characteristics of fissured sandstone under water saturation

Yuanyuan Pu, Jie Chen, Yabo Ye, 2022, Theoretical and Applied Fracture Mechanics.

Comparative Study of Excavation Length Effect on Stope Stability in Underground Mining

D. Apel, Yuanyuan Pu, Huawei Xu, 2021 .

Combining Numerical Simulation and Deep Learning for Landslide Displacement Prediction: An Attempt to Expand the Deep Learning Dataset

Yuanyuan Pu, Hong Xu, Yanfei Kang, 2022, Sustainability.

A Gaussian process machine learning model for cemented rockfill strength prediction at a diamond mine

D. Apel, Yuanyuan Pu, Chong Wei, 2019, Neural Computing and Applications.

Improved Method for Acoustic Emission Source Location in Rocks Without Prior Information

D. Apel, D. Jiang, Yuanyuan Pu, 2022, Rock Mechanics and Rock Engineering.

Using machine learning approach for microseismic events recognition in underground excavations: Comparison of ten frequently-used models

Derek B. Apel, Yuanyuan Pu, Robert Hall, 2020 .

Rockburst prediction in kimberlite with unsupervised learning method and support vector classifier

Yuanyuan Pu, Huawei Xu, Derek B. Apel, 2019, Tunnelling and Underground Space Technology.

Assessment of digital image correlation method in determining large scale cemented rockfill strains

M. Sepehri, D. Apel, Yuanyuan Pu, 2019, International Journal of Mining Science and Technology.

Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning

Yuanyuan Pu, Derek B. Apel, Jie Chen, 2019, Energies.

Back-analysis for initial ground stress field at a diamond mine using machine learning approaches

Derek B. Apel, Stanislaw Prusek, Yuanyuan Pu, 2020, Natural Hazards.

Risk assessment of dynamic disasters in deep coal mines based on multi-source, multi-parameter indexes, and engineering application

Yuanyuan Pu, Jie Chen, Deyi Jiang, 2021, Process Safety and Environmental Protection.

Evaluation of burst liability in kimberlite using support vector machine

Yuanyuan Pu, D. Apel, Yuanyuan Pu, 2018, Acta Geophysica.

Rockburst prediction in kimberlite using decision tree with incomplete data

Yuanyuan Pu, Derek B. Apel, D. Apel, 2018, Journal of Sustainable Mining.

Machine learning methods for rockburst prediction-state-of-the-art review

Hani S. Mitri, Derek B. Apel, Yuanyuan Pu, 2019, International Journal of Mining Science and Technology.

A quantitative pre-warning for coal burst hazard in a deep coal mine based on the spatio-temporal forecast of microseismic events

J. Bai, Yuanyuan Pu, C. Zhu, 2022, Process Safety and Environmental Protection.

Deep and confident prediction for a laboratory earthquake

Yuanyuan Pu, Derek B. Apel, Jie Chen, 2021, Neural Computing and Applications.

Effect of ice addition on the properties and microstructure of cemented paste backfill at early-age

Qiu-song Chen, Chongchong Qi, Yuanyuan Pu, 2023, Journal of Building Engineering.

Use of Neural Networks to Forecast Seismic Hazard Expressed by Number of Tremors Per Unit of Surface

D. Apel, Yuanyuan Pu, S. Prusek, 2020, Pure and Applied Geophysics.

Applying Machine Learning Approaches to Evaluating Rockburst Liability: A Comparation of Generative and Discriminative Models

Yuanyuan Pu, Derek B. Apel, Chong Wei, 2019, Pure and Applied Geophysics.

FlotationNet: A hierarchical deep learning network for froth flotation recovery prediction

Jie Chen, Yuanyuan Pu, Derek B. Apel, 2020 .

Purities prediction in a manufacturing froth flotation plant: the deep learning techniques

Derek B. Apel, Alicja Szmigiel, Yuanyuan Pu, 2020, Neural Computing and Applications.

Cuckoo search algorithm with fuzzy logic and Gauss-Cauchy for minimizing localization error of WSN

Bing Tu, Xianfeng Ou, Guoyun Zhang, 2022, Appl. Soft Comput..

Numerical modeling for rockbursts: A state-of-the-art review

M. Sepehri, D. Apel, R. Hall, 2020 .

Powell-Based Bat Algorithm for Solving Nonlinear Equations

Aijia Ouyang, Jiyuan Zhang, Yuanyuan Pu, 2018, ICIC.