Active Sliding Mode Control Antisynchronization of Chaotic Systems with Uncertainties and External Disturbances by Wafaa Jawaada, M. S. M. Noorani, M. Mossa Al-sawalha

“…The antisynchronization behavior of chaotic systems with parametric uncertainties and external disturbances is explored by using robust active sliding mode control method. …”
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The Best Estimate Plus Uncertainty Challenge in the Current Licensing Process of Present Reactors by Francesco D'Auria, Oscar Mazzantini

“…Within the licensing process of the KWU Atucha II PHWR (Pressurized Heavy Water Reactor), the BEPU (Best Estimate Plus Uncertainty) approach has been selected for issuing of the Chapter 15 on FSAR (Final Safety Analysis Report). …”
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Planning of Cascade Hydropower Stations with the Consideration of Long-Term Operations under Uncertainties by Changjun Wang, Shutong Chen

“…In the location-related planning of a hydropower system, the consideration of future operations under uncertainties can make the decisions sustainable and robust. …”
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Uncertainty Analysis of Multiple Hydrologic Models Using the Bayesian Model Averaging Method by Leihua Dong, Lihua Xiong, Kun-xia Yu

“…Finally, the model efficiency and the uncertainty intervals of each individual model and two BMA combination schemes are assessed and compared.…”
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THE IMPACTS OF POLITICAL UNCERTAINTY ON THE EFFICIENCY OF COMMERCIAL BANKS: EVIDENCE FROM EMERGING ECONOMIES by Đoàn Anh Tuấn

“…This study examines the impacts of political uncertainty on the efficiency of commercial banks across 20 emerging economies. …”
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Robust Control Allocation among Overactuated Spacecraft Thrusters under Ellipsoidal Uncertainty by Chenyang Duan, Shijie Zhang, Yafei Zhao, Xianren Kong

“…Considering that uncertain factors may appear in forms of dynamics, installation errors, thrust deviations, or failures, this paper proposes a robust control allocation under ellipsoidal uncertainty. This method uses the uncertainty ellipsoid set to describe the uncertainty of the thrusters firstly and establish the thrust allocation robust reference model and then transforms it into a cone optimization model which can be solved as an optimized problem. …”
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Economic Policy Uncertainty and Conditional Dependence between China and U.S. Stock Markets by Xinyu Wu, Meng Zhang, Mengqi Wu, Hao Cui

“…In this paper, we investigate the impact of economic policy uncertainty (EPU) on the conditional dependence between China and U.S. stock markets by employing the Copula-mixed-data sampling (Copula-MIDAS) framework. …”
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A New Uncertainty Evaluation Method and Its Application in Evaluating Software Quality by Jiqiang Chen, Litao Ma, Chao Wang, Hong Zhang, Jie Wan

“…Uncertainty theory is a branch of axiomatic mathematics dealing with experts’ belief degree. …”
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Uncertainty Quantification for a Hydraulic Fracture Geometry: Application to Woodford Shale Data by Batoul M. Gisler

“…The reliability of these mathematical models hinges on the uncertainties in the input parameters because uncertainty propagates to the output solution resulting in incorrect interpretations. …”
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Adaptive coordinated control for an under-actuated airplane–tractor system with parameter uncertainties by Pengjie Xu, Weining Huang, Tianrui Zhao, Wei Zhang, Tongwei Lu, Guiyan Qiang, Lin Zhang, Yanzheng Zhao

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Graph attention convolution network for power flow calculation considering grid uncertainty by Haochen Li, Liqun Liu, Shaojuan Yu, Qiusheng He, Qingfeng Wu, Jianfeng Zhang, Qinxiong Lu

Subjects: “…Grid uncertainty…”
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Characterization and analysis on the hemispherical point temperature uncertainty problem of mold flux with volatiles by Wang Z., Ren M.-M., Zhao J.-X., Zhang Z.-K., Wang H., Hu A.-L., Cui Y.-R.

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Uncertainty Analysis of Mixing Efficiency Variation in Passive Micromixers due to Geometric Tolerances by Irina Stanciu

“…A probabilistic simulation model, based on the Monte Carlo method, is developed and implemented for this purpose. An uncertainty simulation model shows that significant deviations from the deterministic design can appear due to small variations in the geometric parameters values and demonstrates how a more realistic mixing performance can be estimated.…”
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A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty by Na Zhang, Weidong Li, Rao Liu, Quan Lv, Liang Sun

“…The integration of large-scale wind power adds a significant uncertainty to power system planning and operating. …”
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Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine by Kaan Sel, Andrea Hawkins-Daarud, Anirban Chaudhuri, Deen Osman, Ahmad Bahai, David Paydarfar, Karen Willcox, Caroline Chung, Roozbeh Jafari

“…We examine the critical role of Verification, Validation, and Uncertainty Quantification (VVUQ) for digital twins in ensuring safety and efficacy, with examples in cardiology and oncology. …”
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The Pricing Strategy of Oligopolistic Competition Food Firms with the Asymmetric Information and Scientific Uncertainty by Li Zhao, Changwei Wang, Xiaohui Peng, Bin Liu, David Ahlstrom

“…The arguments for and against genetically modified (GM) food focus on the characteristics of the scientific uncertainty and asymmetric information for the GM food. …”
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Public Governance and leadership in times of Uncertainty. Intimacy of Politics and Science in Pandemic Management? by BC, Basheka

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Modeling dose uncertainty in cone-beam computed tomography: Predictive approach for deep learning-based synthetic computed tomography generation by Cédric Hémon, Lucía Cubero, Valentin Boussot, Romane-Alize Martin, Blanche Texier, Joël Castelli, Renaud de Crevoisier, Anaïs Barateau, Caroline Lafond, Jean-Claude Nunes

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Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations by Milan Maksimovic, Ivan S. Maksymov

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Building occupancy type classification and uncertainty estimation using machine learning and open data by Tom Narock, J. Michael Johnson, Justin Singh-Mohudpur, Arash Modaresi Rad

“…We address strategies to handle significant class imbalance and introduce Bayesian neural networks to handle prediction uncertainty. The 100-year flood in North Carolina is provided as a practical application in disaster preparedness.…”
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