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Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms

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  1. Sezer Kanbul & Idris Adamu & Yakubu Bala Mohammed, 2024. "A Global Outlook on AI-Predicted Impacts of ChatGPT on Contemporary Education," SAGE Open, , vol. 14(3), pages 21582440241, August.
  2. Xizi Wang & Yakun Ma & Guangwei Hu, 2024. "Mobile Platforms as the Alleged Culprit for Work–Life Imbalance: A Data-Driven Method Using Co-Occurrence Network and Explainable AI Framework," Sustainability, MDPI, vol. 16(18), pages 1-22, September.
  3. Niaz Muhammad Shahani & Xigui Zheng & Xiaowei Guo & Xin Wei, 2022. "Machine Learning-Based Intelligent Prediction of Elastic Modulus of Rocks at Thar Coalfield," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
  4. Yanqi Gong & Chunyi Wang & Hongxuan Fu & Sandylove Afrane & Pingjian Yang & Jian-Lin Chen & Guozhu Mao, 2025. "Spatiotemporal Analysis and Prediction of Avian Migration Under Climate Change," Sustainability, MDPI, vol. 17(7), pages 1-27, March.
  5. Jin, Tanhua & Cheng, Long & Liu, Zhicheng & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments," Transport Policy, Elsevier, vol. 117(C), pages 48-59.
  6. Ji, Shujuan & Wang, Xin & Lyu, Tao & Liu, Xiaojie & Wang, Yuanqing & Heinen, Eva & Sun, Zhenwei, 2022. "Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis," Journal of Transport Geography, Elsevier, vol. 103(C).
  7. Yutao Li & Chuanguo Jia & Hong Chen & Hongchen Su & Jiahao Chen & Duoduo Wang, 2023. "Machine Learning Assessment of Damage Grade for Post-Earthquake Buildings: A Three-Stage Approach Directly Handling Categorical Features," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
  8. Yiheng Li & Weidong Chen, 2020. "A Comparative Performance Assessment of Ensemble Learning for Credit Scoring," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
  9. Leilei Liu & Guoyan Zhao & Weizhang Liang, 2023. "Slope Stability Prediction Using k -NN-Based Optimum-Path Forest Approach," Mathematics, MDPI, vol. 11(14), pages 1-31, July.
  10. Jin, Scarlett T. & Wang, Lei & Sui, Daniel, 2023. "How the built environment affects E-scooter sharing link flows: A machine learning approach," Journal of Transport Geography, Elsevier, vol. 112(C).
  11. Guoyan Zhao & Meng Wang & Weizhang Liang, 2022. "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," Mathematics, MDPI, vol. 10(8), pages 1-26, April.
  12. Yu Gong & Hao Wu & Junhuang Zhou & Yongjun Zhang & Langwen Zhang, 2025. "Hybrid Multi-Branch Attention–CNN–BiLSTM Forecast Model for Reservoir Capacities of Pumped Storage Hydropower Plant," Energies, MDPI, vol. 18(12), pages 1-18, June.
  13. Isteaq Kabir Sifat & Md Kaderi Kibria, 2024. "Optimizing hypertension prediction using ensemble learning approaches," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-17, December.
  14. Ganggui Guo & Shanshan Li & Yakun Liu & Ze Cao & Yangyu Deng, 2022. "Prediction of Cavity Length Using an Interpretable Ensemble Learning Approach," IJERPH, MDPI, vol. 20(1), pages 1-14, December.
  15. Jin, Scarlett T. & Sui, Daniel Z., 2024. "A comparative analysis of the spatial determinants of e-bike and e-scooter sharing link flows," Journal of Transport Geography, Elsevier, vol. 119(C).
  16. Yu, Ruyang & Zhang, Kai & Li, Tao & Jiang, Shu, 2025. "Interpretable predictive modelling of outlet temperatures in Central Alberta's hydrothermal system using boosting-based ensemble learning incorporating Shapley Additive exPlanations approach," Energy, Elsevier, vol. 318(C).
  17. Jia, Liangyuan & Shao, Wanyun & Wang, Jingjing & Qian, Yingying & Chen, Yingquan & Yang, Qingchun, 2024. "Machine learning-aided prediction of bio-BTX and olefins production from zeolite-catalyzed biomass pyrolysis," Energy, Elsevier, vol. 306(C).
  18. Ning Li & Masoud Zare & Congke Yi & Rafael Jimenez, 2022. "Stability Risk Assessment of Underground Rock Pillars Using Logistic Model Trees," IJERPH, MDPI, vol. 19(4), pages 1-19, February.
  19. Chuanmin Mi & Mingzhu Li & Annisa Fitria Wulandari, 2024. "Predicting video views of web series based on comment sentiment analysis and improved stacking ensemble model," Electronic Commerce Research, Springer, vol. 24(4), pages 2637-2664, December.
  20. Shaohan Zhang & Shucheng Tan & Yongqi Sun & Duanyu Ding & Wei Yang, 2024. "Risk Mapping of Geological Hazards in Plateau Mountainous Areas Based on Multisource Remote Sensing Data Extraction and Machine Learning (Fuyuan, China)," Land, MDPI, vol. 13(9), pages 1-25, August.
  21. Dong, Wei & Wang, Naidi & Dong, Yu & Cao, Jason, 2025. "Examining the nonlinear and interactive effects of built environment characteristics on travel satisfaction," Journal of Transport Geography, Elsevier, vol. 123(C).
  22. Mahmood Ahmad & Suraparb Keawsawasvong & Mohd Rasdan Bin Ibrahim & Muhammad Waseem & Kazem Reza Kashyzadeh & Mohanad Muayad Sabri Sabri, 2022. "Novel Approach to Predicting Soil Permeability Coefficient Using Gaussian Process Regression," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
  23. Babek Erdebilli & Burcu Devrim-İçtenbaş, 2022. "Ensemble Voting Regression Based on Machine Learning for Predicting Medical Waste: A Case from Turkey," Mathematics, MDPI, vol. 10(14), pages 1-16, July.
  24. Yu, Ruyang & Zhang, Kai & Ramasubramanian, Brindha & Jiang, Shu & Ramakrishna, Seeram & Tang, Yuhang, 2024. "Ensemble learning for predicting average thermal extraction load of a hydrothermal geothermal field: A case study in Guanzhong Basin, China," Energy, Elsevier, vol. 296(C).
  25. Mehrdad Maghsoudi & Sajjad Shokouhyar & Nafiseh Sanaee & Sina Shokoohyar, 2025. "Enhancing sustainability reporting practices in the notebook manufacturing industry: a multifaceted analysis integrating traditional reports and social media data," Annals of Operations Research, Springer, vol. 345(1), pages 317-349, February.
  26. Orel Babayoff & Onn Shehory & Meishar Shahoha & Ruth Sasportas & Ahuva Weiss-Meilik, 2022. "Surgery duration: Optimized prediction and causality analysis," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-18, August.
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