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The generalization of Latin hypercube sampling

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  1. Tang, Shuaishuai & Hou, Lei & Liu, Yueqi & Yang, Kai & Sun, Xingshen & Wang, Mincong & Zhang, Xiaoyu & Jiang, Lumeng, 2025. "Supply reliability allocation of natural gas pipeline network system based on composite allocation method," Reliability Engineering and System Safety, Elsevier, vol. 257(PB).
  2. Yue, Wenhao & Yang, Chen & Shi, Chenyue & Yang, Jinguang & Liao, Naibing, 2024. "Uncertainty quantification of the inlet boundary conditions in a supercritical CO2 centrifugal compressor based on the non-intrusive polynomial chaos," Energy, Elsevier, vol. 310(C).
  3. Javaid, M. Tariq & Sajjad, Umar & Saddam ul Hassan, Syed & Nasir, Sheharyar & Shahid, M. Usman & Ali, Awais & Salamat, Shuaib, 2023. "Power enhancement of vertical axis wind turbine using optimum trapped vortex cavity," Energy, Elsevier, vol. 278(PA).
  4. Sepehrzad, Reza & Al-Durra, Ahmed & Anvari-Moghaddam, Amjad & Sadabadi, Mahdieh S., 2025. "Short-term and probability scenario-oriented energy management of integrated energy distribution systems with considering energy market interactions and end-user participation," Energy, Elsevier, vol. 322(C).
  5. Wang, Wengjie & Wang, Hongyu & Pei, Ji & Chen, Jia & Gan, Xingcheng & Sun, Qin, 2025. "Artificial intelligence approach for energy and entropy analyses of a double-suction centrifugal pump," Energy, Elsevier, vol. 324(C).
  6. Jiacheng Liu & Haiyun Liu & Cong Zhang & Jiyin Cao & Aibo Xu & Jiwei Hu, 2024. "Derivative-Variance Hybrid Global Sensitivity Measure with Optimal Sampling Method Selection," Mathematics, MDPI, vol. 12(3), pages 1-15, January.
  7. Yinquan Yu & Yue Pan & Qiping Chen & Yiming Hu & Jian Gao & Zhao Zhao & Shuangxia Niu & Shaowei Zhou, 2023. "Multi-Objective Optimization Strategy for Permanent Magnet Synchronous Motor Based on Combined Surrogate Model and Optimization Algorithm," Energies, MDPI, vol. 16(4), pages 1-17, February.
  8. Shi, Yan & Lu, Zhenzhou & He, Ruyang & Zhou, Yicheng & Chen, Siyu, 2020. "A novel learning function based on Kriging for reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
  9. Jia, Wantao & Feng, Xiaotong & Hao, Mengli & Ma, Shichao, 2024. "Deep neural network method to predict the dynamical system response under random excitation of combined Gaussian and Poisson white noises," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
  10. Li, Haiwang & Kong, Weidi & Wang, Meng & You, Ruquan, 2025. "A correction method based on CGAN for scaling criteria of turbine blades in high radiation environments," Energy, Elsevier, vol. 322(C).
  11. García, Antonio & Monsalve-Serrano, Javier & Martínez-Boggio, Santiago & Wittek, Karsten, 2020. "Potential of hybrid powertrains in a variable compression ratio downsized turbocharged VVA Spark Ignition engine," Energy, Elsevier, vol. 195(C).
  12. Novák, Lukáš & Valdebenito, Marcos & Faes, Matthias, 2025. "On fractional moment estimation from polynomial chaos expansion," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
  13. Hau T. Mai & Jaewook Lee & Joowon Kang & H. Nguyen-Xuan & Jaehong Lee, 2022. "An Improved Blind Kriging Surrogate Model for Design Optimization Problems," Mathematics, MDPI, vol. 10(16), pages 1-19, August.
  14. Yongsheng He & Yongfu Li & Xiangcheng Li & Yanan Yuan & Fan Yang & Zongxiang Lu, 2025. "A Reduced-Order Algorithm for a Digital Twin Model of Ultra-High-Voltage Valve-Side Bushing Considering Spatio-Temporal Non-Uniformity," Energies, MDPI, vol. 18(6), pages 1-22, March.
  15. Himakar Ganti & Manu Kamin & Prashant Khare, 2020. "Design Space Exploration of Turbulent Multiphase Flows Using Machine Learning-Based Surrogate Model," Energies, MDPI, vol. 13(17), pages 1-23, September.
  16. Jodeiri-Seyedian, Seyed-Sadra & Veysi, Mohammad, 2025. "Microgrid-level reliability assessment of mid-term electricity provision under intermittency of renewable distributed generation: A probabilistic conditional value at risk modeling," Reliability Engineering and System Safety, Elsevier, vol. 261(C).
  17. Baoyu Zhu & Shaojun Ren & Qihang Weng & Fengqi Si, 2025. "A Physics-Informed Variational Autoencoder for Modeling Power Plant Thermal Systems," Energies, MDPI, vol. 18(17), pages 1-24, September.
  18. Xie, Bin & Wang, Yanzhong & Zhu, Yunyi & Liu, Peng & Wu, Yu & Lu, Fengxia, 2024. "Time-variant reliability analysis of angular contact ball bearing considering the coupled effect of rolling contact fatigue damage and wear," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
  19. Morzaria-Luna, Hem Nalini & Ainsworth, Cameron H. & Tarnecki, Joseph H. & Grüss, Arnaud, 2018. "Diet composition uncertainty determines impacts on fisheries following an oil spill," Ecosystem Services, Elsevier, vol. 33(PB), pages 187-198.
  20. Li, Jian & Dueñas-Osorio, Leonardo & Chen, Changkun & Shi, Congling, 2016. "Connectivity reliability and topological controllability of infrastructure networks: A comparative assessment," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 24-33.
  21. Xu, Jintao & Gui, Maolei & Ding, Rui & Dai, Tao & Zheng, Mengyan & Men, Xinhong & Meng, Fanpeng & Yu, Tao & Sui, Yang, 2023. "A new approach for dynamic reliability analysis of reactor protection system for HPR1000," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
  22. Wang, Run-Zi & Gu, Hang-Hang & Zhu, Shun-Peng & Li, Kai-Shang & Wang, Ji & Wang, Xiao-Wei & Hideo, Miura & Zhang, Xian-Cheng & Tu, Shan-Tung, 2022. "A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
  23. Gan, Quan & Song, Hongli & Elsworth, Derek & Jia, Sida & Chen, Junjun & Ma, Funing & Li, Qian & Yang, Yaling & Wang, Xiaoping & Dai, Zhenxue, 2025. "Deep learning-enhanced global sensitivity analysis for uncertainty quantification in THMC coupled scCO2-EGS," Energy, Elsevier, vol. 335(C).
  24. Zhou, Tong & Peng, Yongbo, 2022. "Reliability analysis using adaptive Polynomial-Chaos Kriging and probability density evolution method," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
  25. Qihong Feng & Kuankuan Wu & Jiyuan Zhang & Sen Wang & Xianmin Zhang & Daiyu Zhou & An Zhao, 2022. "Optimization of Well Control during Gas Flooding Using the Deep-LSTM-Based Proxy Model: A Case Study in the Baoshaceng Reservoir, Tarim, China," Energies, MDPI, vol. 15(7), pages 1-14, March.
  26. Dang, Chao & Xu, Jun, 2020. "Unified reliability assessment for problems with low- to high-dimensional random inputs using the Laplace transform and a mixture distribution," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  27. Peng, Han & Zhang, Jize, 2025. "Efficient, scalable emulation of stochastic simulators: A mixture density network based surrogate modeling framework," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
  28. Han, Xiaojuan & Yang, Xiaoyan & Bai, Tianyang, 2025. "Double-layer optimal scheduling for wind-PV-hydro-hybrid energy storage system with multi-timescale coordination," Energy, Elsevier, vol. 336(C).
  29. Donggeun Park & Hanbin Cho & Changseob Kwon & Youngyeon Ji & Seunghwa Ryu, 2026. "Optimizing chamber systems for deposition processes in the semiconductor industry with deep learning framework: tackling small simulation datasets," Journal of Intelligent Manufacturing, Springer, vol. 37(3), pages 1075-1091, March.
  30. Rey, Valentine & Freyssinet, Clément & Schoefs, Franck, 2026. "Efficient time-dependent fatigue reliability assessment accounting for material variability in steel structures," Reliability Engineering and System Safety, Elsevier, vol. 265(PB).
  31. Deodatis, George & Arwade, Sanjay & Graham-Brady, Lori & Teferra, Kirubel, 2025. "Review of the concept of variability response function and its application in stochastic systems," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).
  32. Wang, Run-Zi & Gu, Hang-Hang & Liu, Yu & Miura, Hideo & Zhang, Xian-Cheng & Tu, Shan-Tung, 2023. "Surrogate-modeling-assisted creep-fatigue reliability assessment in a low-pressure turbine disc considering multi-source uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
  33. Pang, Xinfu & Fang, Xiang & Yu, Yang & Zheng, Zedong & Li, Haibo, 2025. "Optimal scheduling method for electric vehicle charging and discharging via Q-learning-based particle swarm optimization," Energy, Elsevier, vol. 316(C).
  34. Zhao, Yan-Gang & Liu, Ya-Ting & Li, Pei-Pei & Weng, Ye-Yao & Valdebenito, Marcos A. & Faes, Matthias G.R., 2025. "A Bayesian piecewise fitting method for estimating probability distributions of performance functions," Reliability Engineering and System Safety, Elsevier, vol. 263(C).
  35. Sierra, Gina & Robinson, Elinirina I. & Goebel, Kai, 2021. "Improving tail accuracy of the predicted cumulative distribution function of time of failure," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
  36. Gu, Hang-Hang & Wang, Run-Zi & Zhang, Kun & Li, Kai-Shang & Sun, Li & Zhang, Xian-Cheng & Tu, Shan-Tung, 2025. "Damage-driven framework for reliability assessment of steam turbine rotors operating under flexible conditions," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
  37. Wang, Tianzhe & Chen, Zequan & Li, Guofa & He, Jialong & Liu, Chao & Du, Xuejiao, 2024. "A novel method for high-dimensional reliability analysis based on activity score and adaptive Kriging," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
  38. Yao, Zhenghong & Hao, Jin & Tan, Zhi & Li, Changyou & Zhao, Jinsong, 2025. "Ratcheting fatigue reliability and sensitivity analysis of hydraulic pipe under in-service loadings," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).
  39. Hanye Xiong & Zhenzhong Shen & Yongchao Li & Yiqing Sun, 2024. "A Novel Inversion Method for Permeability Coefficients of Concrete Face Rockfill Dam Based on Sobol-IDBO-SVR Fusion Surrogate Model," Mathematics, MDPI, vol. 12(7), pages 1-19, April.
  40. Jian Pu & Yu Huang & Zhen Guo & Yandong Bi & Chong Xu & Xingyue Li & Zhiyi Chen, 2024. "Physical vulnerability of reinforced concrete buildings under debris avalanche impact based on GF-discrepancy and DEM-FEM," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(3), pages 2571-2597, February.
  41. Li, Hao & Tan, Jianjun & Fei, Wenjun & Zhu, Caichao & Sun, Yizhong & Sun, Zhangdong, 2025. "Collaborative optimization of meshing and lubrication for planetary gear-journal bearing integrated structure in high power density wind turbine drivetrains," Renewable Energy, Elsevier, vol. 255(C).
  42. Quan Li & Xin Wang & Shuaiang Rong, 2018. "Probabilistic Load Flow Method Based on Modified Latin Hypercube-Important Sampling," Energies, MDPI, vol. 11(11), pages 1-14, November.
  43. Goda, Takashi, 2021. "A simple algorithm for global sensitivity analysis with Shapley effects," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
  44. Okpokparoro, Salem & Sriramula, Srinivas, 2021. "Uncertainty modeling in reliability analysis of floating wind turbine support structures," Renewable Energy, Elsevier, vol. 165(P1), pages 88-108.
  45. Zhang, Guozheng & Wang, Dianhai & Chen, Mengwei & Zeng, Jiaqi & Cai, Zhengyi, 2025. "Assessing urban-scale spatiotemporal heterogeneous metro station coverage using multi-source mobility data," Journal of Transport Geography, Elsevier, vol. 123(C).
  46. Shields, Michael D., 2018. "Adaptive Monte Carlo analysis for strongly nonlinear stochastic systems," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 207-224.
  47. Yue, Wencong & Li, Yangqing & Su, Meirong & Chen, Qionghong & Rong, Qiangqiang, 2023. "Carbon emissions accounting and prediction in urban agglomerations from multiple perspectives of production, consumption and income," Applied Energy, Elsevier, vol. 348(C).
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