Probabilistic-Aware Satellite Constellation Scheduling for Integrated TN-NTN Operations by Arnau Singla, Isabel Gallardo-Duval, Anna Calveras, Juan A. Fraire, Joan A. Ruiz-De-Azua

“…Traditional scheduling approaches in satellite systems often assume deterministic traffic models, limiting their effectiveness in dynamic and data-driven scenarios. …”
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Probabilistic Load Flow of an Islanded Microgrid with WTGS and PV Uncertainties Containing Electric Vehicle Charging Loads by Neeraj Gupta, B. Rajanarayan Prusty

“…Comparing the proposed GQPLF method with the benchmark method validates its efficacy and efficiency.…”
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Stochastic simulation of soil moisture dynamics in farmland in the eastern region of the Songnen Plain. by Bo Meng, Jin Wang, Fanxiang Meng, Ennan Zheng, Tianxiao Li, Bowen Tang

“…Soil moisture is the core of the hydrological cycle in agroecosystems, and most of the studies on soil moisture dynamics modeling adopt deterministic research methods, which are not well suited to study the hydrological processes in agricultural fields under changing conditions. …”
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Uncertainty aware energy management in microgrids with integrated electric bicycle charging stations and green certificate market by Hossein Shayeghi, Iraj Faraji Davoudkhani

“…Abstract This paper presents a stochastic optimization framework for microgrid (MG) energy management, integrating electric bicycle (E-Bike) and electric vehicle (EV) charging stations with a green certificate market (GCM) to enhance sustainability and economic efficiency. Uncertainties in renewable energy generation (solar and wind) and load demand are modeled using the Two-Point Estimation Method (TPEM), enabling robust handling of variability. …”
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FIST GEOINFORMATION SYSTEM MODEL USING FOG COMPUTING IN DESTABILIZATION by V. V. Gryzunov

“…The research methods are based on a deterministic or stochastic model of destabilization, but the geographic information system is characterized by a non-stochastic model. …”
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Influence of Precast Member Corbels on Seismic Performance of Precast Beam-Slab-Column Joints by Hongtao Liu, Pengchao Kong, Taoping Ye

“…To improve the construction efficiency of precast structures, reinforced concrete corbels acted as support members are the most common connection method. …”
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Adaptive Context-Aware Generative Adversarial Network for Low-quality Image Enhancement by Xingyu Pan, Fengling Chen

“…However, current methods still face with two issues: (1) They commonly earn a deterministic generation mapping between low-quality and normal images via relying on pixel-level reconstruction, leading to improper brightness and noise in the enhancing process. (2) They use only one type of generative model, either explicit or implicit, which limits flexibility and efficiency of models. …”
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Interval Uncertainty Analysis for Wheel–Rail Contact Load Identification Based on First-Order Polynomial Chaos Expansion by Shengwen Yin, Haotian Xiao, Lei Cao

“…Traditional methods for identifying wheel–rail contact loads are based on deterministic models, in which the uncertainties such as material inhomogeneity and geometric tolerance are not considered. …”
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Co-Optimization of Speed Planning and Energy Management for Plug-In Hybrid Electric Trucks Passing Through Traffic Light Intersections by Xin Liu, Guojing Shi, Changbo Yang, Enyong Xu, Yanmei Meng

“…This model effectively converts the nonlinear constraints related to the position, phase, and timing information of each traffic signal on the road into time-varying constraints, thereby improving computational efficiency. In the lower layer, an energy management model is constructed using the twin delayed deep deterministic policy gradient (TD3) algorithm to achieve optimal allocation of demanded power through the interaction of the TD3 agent with the truck environment. …”
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Advanced Cooperative Formation Control in Variable-Sweep Wing UAVs via the MADDPG–VSC Algorithm by Zhengyang Cao, Gang Chen

“…The algorithm not only optimizes multi-UAV formation control efficiency but also improves obstacle avoidance, attitude stability, and decision-making speed. …”
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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection by Rodrigo Colnago Contreras, Monique Simplicio Viana, Victor José Souza Bernardino, Francisco Lledo dos Santos, Önsen Toygar, Rodrigo Capobianco Guido

“…The use of frozen pre-trained networks allows for a lightweight, deterministic pipeline without the need for fine-tuning. …”
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Adaptive hybrid hyperparameter optimization with MRFO and Lévy flight for accurate melanoma classification by Shamsuddeen Adamu, Hitham Alhussian, Said Jadid Abdulkadir, Ayed Alwadin, Sallam O. F. Khairy, Hussaini Mamman, Shamsu Abdullahi, Saidu Yahaya, Aliyu Garba, Dahiru Adamu Aliyu, Muhammad Muntasir Yakubu, Daniel Tonye Oyefidein

“…These results position MRFO-LF as a reliable and efficient optimizer for complex hyperparameter tuning in medical image classification.…”
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Analysis of Meeting Early Childhood Education Resource Needs Through Monte Carlo Simulation by Citra Aulia Uzliva, Philips Ratu Bunga, Yenik Wahyuningsih

“…These findings highlight that the approach offers more flexible and realistic estimates than conventional deterministic methods. Therefore, ECE administrators are encouraged to integrate quantitative methods such as Monte Carlo Simulation into their operational planning to enhance efficiency, resilience to student population dynamics, and data-driven decision-making. …”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…Advanced forecasting models must be combined with robust optimization methods to address these challenges effectively. Conventional methods, such as logistic regression, decision trees, and linear discriminant analysis, often struggle to accurately detect early financial risks because they are deterministic and unsuited for exploring global optimal solutions. …”
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Microfluidic device for both active and passive cell separation techniques: A review by Muhammad Asraf Mansor, Muhammad Asyraf Jamrus, Chong Kar Lok, Mohd Ridzuan Ahmad, Michal Petrů, Seyed Saeid Rahimian Koloor

“…In order to limit the extent of this work, our primary emphasis is on six common methods of cell separation: acoustophoresis, dielectrophoresis, magnetophoresis, inertial, pinched flow fractionation (PFF), and deterministic lateral displacement (DLD). …”
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Research of the effectiveness of equity capital by chemical industry companies during the crisis by O. V. Berezhnaya, E. V. Berezhnaya

“…The purpose of the work is to assess the effectiveness of using their own sources of financing, typical for companies in the chemical industry, during the period of crisis and sanctions restrictions from 2019 to 2022.Materials and methods. Based on traditional methods of statistical analysis, financial analysis and classical deterministic models (in particular, return on equity capital), on the basis of information on the financial results and capital structure of organizations in the SPARK-Interfax system, the authors analyzed the dynamics of equity capital, its components in the chemical industry and its sub-sectors. …”
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Assessing the application of landmark-free morphometrics to macroevolutionary analyses by James M. Mulqueeney, Thomas H. G. Ezard, Anjali Goswami

“…Our findings highlight the potential of landmark-free approaches like DAA for large scale studies across disparate taxa, owing to their enhanced efficiency. However, they also reveal several challenges that should be addressed before these methods can be widely adopted. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Monte Carlo methods, which are based on statistical sampling, exhibit many attractive properties in dealing with large volumes of datasets, including fast approximated results, memory efficiency, reduced data accesses, natural parallelism, and inherent fault tolerance. …”
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Differentiable Imaging: Progress, Challenges, and Outlook by Ni Chen, David J. Brady, Edmund Y. Lam

“…We identify emerging challenges in numerical modeling, computational efficiency, and system integration, with particular focus on how digital twin architectures may provide solutions for next-generation adaptive imaging systems. …”
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A Vision-Based Procedure with Subpixel Resolution for Motion Estimation by Samira Azizi, Kaveh Karami, Stefano Mariani

“…The solution combines a stochastic search method for coarse-level measurements with a deterministic method for fine-level measurements. …”
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