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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Leveraging Transfer Learning in Deep Reinforcement Learning for Solving Combinatorial Optimization Problems Under Uncertainty by Fatima Ezzahra Achamrah

“…In recent years, addressing the inherent uncertainties within Combinatorial Optimization Problems (COPs) reveals the limitations of traditional optimization methods. Although these methods are often effective in deterministic settings, they may lack flexibility and adaptability to navigate the uncertain nature of real-world COP/s. …”
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Using Hybrid Wavelet-Exponential Smoothing Approach for Streamflow Modeling by Vahid Nourani, Hessam Najafi, Alireza Babaeian Amini, Hitoshi Tanaka

“…The obtained results indicated that combining WT with the ES method and ANN led to more accurate modeling. The proposed methodology (WES2) that used all decomposed subseries separately improved the efficiency of models up to 30% and 10% for the daily dataset and up to 88% and 57% for the monthly dataset, respectively, for the West Nishnabotna and Trinity Rivers.…”
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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties by Lingzhong Meng, Minggong Wu, Xiangxi Wen, Zhichong Zhou, Qingguo Tian

“…Traditional flight plan adjustment and management methods often rely on deterministic trajectory predictions, ignoring the inherent temporal uncertainties in actual operations, which may lead to the underestimation of potential risks. …”
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Research on High-Precision Motion Planning of Large Multi-Arm Rock Drilling Robot Based on Multi-Strategy Sampling Rapidly Exploring Random Tree* by Qiaoyu Xu, Yansong Lin

“…This mechanism flexibly applies three sampling methods at different stages of path planning, significantly improving the adaptability and search efficiency of the RRT* algorithm. …”
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On the development and analysis of a comprehensive police patrolling model by Fatemeh Mousapour, Rajan Batta, Jose L. Walteros

“…Numerical experiments are conducted to (a) evaluate the computational efficiency of the proposed methods, and (b) explore sensitivity analysis with respect to key parameters. …”
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The impact of HCV therapy in a high HIV-HCV prevalence population: A modeling study on people who inject drugs in Ho Chi Minh City, Vietnam. by Ruthie B Birger, Thuy Le, Roger D Kouyos, Bryan T Grenfell, Timothy B Hallett

“…Mathematical models have been used to great effect to shape HIV care, but few have been proposed for HIV/HCV.<h4>Methods</h4>We constructed a deterministic compartmental ODE model that incorporated layers for HIV disease progression, HCV disease progression and PWID demography. …”
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A POSSIBILISTIC APPROACH TO CALCULATING THE INTERNAL RATE OF RETURN FOR INVESTMENT PROJECTS WITH FUZZY CASH FLOWS by E. S. Volkova, V. B. Gisin

“…We believe the proposed method can be applied to evaluating the efficiency of investment projects with fuzzy cash flows.…”
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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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Analyzing execution path non-determinism of the Linux kernel in different scenarios by Yucong Chen, Xianzhi Tang, Shuaixin Xu, Fangfang Zhu, Qingguo Zhou, Tien-Hsiung Weng

“…Based on the evaluations, the results of this work can provide advice for analyzing Linux-based safety-critical systems. In addition, the method introduced in this research can also provide support for the verification of Linux-based safety-critical systems.…”
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Online Resource Allocation and Trajectory Optimization of STAR–RIS–Assisted UAV–MEC System by Xi Hu, Hongchao Zhao, Wujie Zhang, Dongyang He

“…Since the proposed problem is a long–term stochastic optimization problem, we use the Lyapunov method to transform it into three deterministic online optimization subproblems and iteratively solve them alternately. …”
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Blockchain oracles for decentralized agricultural insurance using trusted IoT data by Manoj T, Krishnamoorthi Makkithaya, Narendra V. G., Vijaya Murari T

“…Hence, the present study proposes a blockchain-based AgriInsureDON framework with a privacy-preserving decentralized oracle for risk factor data access from trusted IoT devices for agricultural insurance. Initially, a method for computing the direct reputation score of IoT devices based on behavioral and data reputation is illustrated. …”
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3D geological modeling technology of medium-deep geothermal field in Shenshui 501 geothermal field in Damintun Sag by CONG Shufei, ZHOU Hong, ZHAO Yan, JIN Hailong, LIU Peng, WU Rongbi, CHEN Yuanchun

“…This is achieved by combining various types of data and employing both deterministic and stochastic modeling techniques, thereby establishing a robust method for thermal reservoir geological modeling using Petrel. …”
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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

“…By leveraging statistical traffic models based on the central limit theorem, the proposed method accounts for traffic uncertainty and embeds it directly into the scheduling process. …”
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Cost-effectiveness of Triple Therapy with Telaprevir for Chronic Hepatitis C Virus Patients in Germany by Jona T. Stahmeyer, Svenja Schauer, Siegbert Rossol, Hans Heinrich Wedemeyer, Daniel Wirth, Florence Bianic, Christian Krauth

“…The aim of the study was to assess the cost-effectiveness of triple therapy with telaprevir in Germany. # Methods We used a Markov model on disease progression and natural history to assess the cost-effectiveness of triple therapy with telaprevir compared to standard treatment with pegylated interferon and ribavirin. …”
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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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A Stochastic -Coverage Scheduling Algorithm in Wireless Sensor Networks by Jiguo Yu, Shaohua Ren, Shengli Wan, Dongxiao Yu, Guanghui Wang

“…Coverage is one of the key issues to achieve energy efficiency of a wireless sensor network. Sensor scheduling is one of the most important methods to solve coverage problems. …”
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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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Building Energy Optimization Using an Improved Exponential Distribution Optimizer Based on Golden Sine Strategy Minimizing Energy Consumption Under Uncertainty by Mohammad Ali Karbasforoushha, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Lapyote Prasittisopin, Thira Jearsiripongkul

“…The results demonstrate that IEDO outperforms other methods, reaching the optimal solution with the lowest annual initial energy consumption of 132.7519 kWh/m²a, compared to 132.9356 kWh/m²a for the grey wolf optimizer (GWO) and 133.0000 kWh/m²a for POSCO, as reported in previous studies for a single office building. …”
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Simulation-Based Hierarchical Heuristic for Printed Circuit Board Assembly Optimization in a Spin-Head Surface Mounter by Longlong Xu, Yarong Chen

“…This article proposes a simulation-based hierarchical heuristic (SHH) method to optimize nozzle assignment, feeder assignment, and component sequencing in a single spin-head gantry type surface mounter. …”
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