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Meng Wang
Institution:
McGill University
Observed institutions:
Central South University of Forestry and Technology,
Central South University,
Lingnan University,
McGill University
ORCID:
0000-0003-4596-6338
Observed ORCID:
0000-0003-4596-6338
OpenAlex ID:
A5061427770
A comparative study on the development of hybrid SSA-RF and PSO-RF models for predicting the uniaxial compressive strength of rocks
2023
·
Meng Wang
, Guoyan Zhao
, et al.
·
Case Studies in Construction Materials
·
45
Hybrid random forest models optimized by Sparrow search algorithm (SSA) and Harris hawk optimization algorithm (HHO) for slope stability prediction
2024
·
Meng Wang
, Meng Wang
, et al.
·
Transportation Geotechnics
·
34
Comparative prediction performance of the strength of a new type of Ti tailings cemented backfilling body using PSO-RF, SSA-RF, and WOA-RF models
2023
·
Weijun Liu
, Zhixiang Liu
, et al.
·
Case Studies in Construction Materials
·
24
A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock
2022
·
Guoyan Zhao
, Meng Wang
, et al.
·
Mathematics
·
24
PDF
Data-based assessment of rock strengths and cuttability using the monitored parameters while drilling, tunneling, and mining
2025
·
Meng Wang
, Hani S. Mitri
, et al.
·
Tunnelling and Underground Space Technology
·
13
Performance comparison of several explainable hybrid ensemble models for predicting carbonation depth in fly ash concrete
2024
·
Meng Wang
, Hani S. Mitri
, et al.
·
Journal of Building Engineering
·
5
An Improved Multi-Object Tracking Algorithm Designed for Complex Environments
2025
·
Wuyuhan Liu
, Jian Yao
, et al.
·
Sensors
·
3
PDF
Enhanced carbonation depth prediction in fly ash concrete: A hybrid ensemble model and sustainable utilization strategy
2025
·
Meng Wang
, Hani S. Mitri
, et al.
·
Journal of Building Engineering
·
3
A comparative performance study on the development of hybrid extreme gradient boosting models for predicting rock layer subsidence in subsea gold mine
2025
·
Weijun Liu
, Zhixiang Liu
, et al.
·
Geomechanics and Geophysics for Geo-Energy and Geo-Resources
·
3
PDF
II-LA-KM: Improved Initialization of a Learning-Augmented Clustering Algorithm for Effective Rock Discontinuity Grouping
2024
·
Yihang Xu
, Junxi Wu
, et al.
·
Mathematics
·
2
PDF
Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications
2026
·
Ning Wang
, Guoyan Zhao
, et al.
·
Deep Underground Science and Engineering
·
1
Enhancing Point Cloud Feature Utilization for 3D Object Detection
2025
·
Gongxiang Zhou
, Feng Jiang
, et al.
·
IEEE Signal Processing Letters
·
1
Generative Method of Antenna Optimization Based on Dual Discriminator Generative Adversarial Nets
2024
·
Shirui Yu
, Jian Dong
, et al.
·
IEEE Asia-Pacific Conference on Antennas and Propagation
·
1
Data-Driven Prediction of Provincial Energy Consumption in China and Its Implications for Sustainable Development Policy
2026
·
Han Li
, Wei Li
, et al.
·
Sustainability
Hybrid ensemble models for enhanced slope stability prediction based on a comprehensive database
2025
·
Meng Wang
, Hani S. Mitri
, et al.
·
Transportation Geotechnics
Hybrid Stacking Model with Optuna Optimization for Open Stope Stability Prediction
2025
·
Weizhang Liang
, Pengpeng Lu
, et al.
·
Rock Mechanics and Rock Engineering
Spatial–Temporal Correlation Information-Based Rate Control for Versatile Video Coding
2025
·
Zeming Zhao
, Xiaohai He
, et al.
·
IEEE Transactions on Circuits and Systems for Video Technology
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Works count:
17
Citation count:
157
H-index:
5
I10-index:
5
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