Showing 141 - 157 results of 157 for search '"stochastic modeling"', query time: 0.06s Refine Results
  1. 141

    Characterization and Modelling of Multiscale Natural Fractures in Shale Reservoirs: A Case Study from a Block in the Southern Sichuan Basin by Shaohua Gai, Ailin Jia, Yunsheng Wei, Ruohan Liu

    Published 2022-01-01
    “…The fracture aperture, dip, and azimuth are three main parameters, which are recognized by the loggings and cores. Stochastic modelling is applied to factures. We find that faults identified by the ant tracking result are excellent in line with Macroscale faults interpreted directly from seismic data. …”
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  2. 142

    Characterization of Neural Interaction During Learning and Adaptation from Spike-Train Data by Liqiang Zhu, Ying-Cheng Lai, Frank C. Hoppensteadt, Jiping He

    Published 2004-10-01
    “…., Neural Computations 15 ,2359 (2003)] a general procedure to detect and quantify the causalinteractions among neurons, which is based on the method ofdirected transfer function derived from a class of multivariate,linear stochastic models. The procedure was applied to spiketrains from neurons in the primary motor cortex of the monkeybrain during adaptation, where monkeys were trained to learn a newskill by moving their arms to reach a target under externalperturbations. …”
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  3. 143

    Impact of Cell Size Effect on Nutrient-Phytoplankton Dynamics by Tiancai Liao, Hengguo Yu, Chuanjun Dai, Min Zhao

    Published 2019-01-01
    “…In the case of the stochastic model, the stochastic dynamics including the stochastic extinction, persistence in the mean, and the existence of ergodic stationary distribution is found to be largely dependent on cell size and noise intensity. …”
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  4. 144

    Stochastic differential equations to model influenza transmission with continuous and discrete-time Markov chains by Kazi Mehedi Mohammad, Md. Kamrujjaman

    Published 2025-01-01
    “…Computational methods are used to validate theoretical results, improving the trustworthiness of the model. The stochastic model allows for an examination of the stochastic character of influenza, which advances our understanding of influenza epidemiology, preventative tactics, and potential treatment results under various circumstances. …”
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  5. 145

    Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves by Wenqian Yin, Kun Zhuang, Pei Kong, Pengcheng Fan, Jilei Ye, Yuping Wu, Xun Dou

    Published 2025-03-01
    “…A Benders decomposition-based solution method is presented for the established two-stage stochastic model with DDU and mixed-binary recourse. Case studies on modified IEEE-6 bus and 118-bus systems verify the proposed model and solution method. …”
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  6. 146

    Short distances dominate connectivity patterns of coral communities in the North-West Arabian Sea by Michel R. Claereboudt, Gerd Bruss

    Published 2025-01-01
    “…We used a Lagrangian stochastic model to simulate the transport routes of coral larvae released from the major reef communities of the Arabian Sea and Gulf of Oman. …”
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  7. 147

    Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma by Rimbaud, Loup, Papaïx, Julien, Rey, Jean-François, Moury, Benoît, Barrett, Luke G., Thrall, Peter H.

    Published 2023-05-01
    “…Using the demogenetic, spatially explicit, temporal, stochastic model landsepi, this study is a first attempt to investigate how resistance efficiency, age at the time of resistance activation and target pathogenicity trait jointly impact resistance durability and disease control at the landscape scale. …”
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  8. 148

    Increasing extreme hourly precipitation risk for New York City after Hurricane Ida by Carolien Mossel, Spencer A. Hill, Nihar R. Samal, James F. Booth, Naresh Devineni

    Published 2024-11-01
    “…We contextualize this storm’s record-breaking hourly intensity within the historical record as well as project its risk in the near- to medium-term future using nonstationary stochastic models. These models are conditioned on average temperature (T avg ) and cooling degree day (CDD) projections from three climate models as a covariate, each with a SSP 126 and SSP 370 scenario. …”
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  9. 149

    Qualitative financial modelling in fractal dimensions by Rami Ahmad El-Nabulsi, Waranont Anukool

    Published 2025-01-01
    “…Hence, a fractional stochastic model that includes the basic Black–Scholes model as a special case is expected. …”
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  10. 150

    Genetic Rescue of the Dinaric Lynx Population: Insights for Conservation From Genetic Monitoring and Individual‐Based Modelling by Elena Pazhenkova, Matej Bartol, Barbara Boljte, Urša Fležar, Andrea Gazzola, Tomislav Gomerčić, Marjeta Konec, Ivan Kos, Miha Krofel, Jakub Kubala, Ladislav Paule, Mihai Pop, Hubert Potočnik, Barbara Promberger, Robin Rigg, Teodora Sin, Magda Sindičić, Vedran Slijepčević, Astrid Vik Stronen, Ira Topličanec, Tomaž Skrbinšek

    Published 2025-01-01
    “…We conducted comprehensive genetic monitoring in this area, gathering 588 non‐invasive and tissue samples, which were used for individual identification and estimation of population genetic parameters. We used stochastic modelling to assess the long‐term viability of the Dinaric lynx population post‐translocation and formulate effective conservation strategies. …”
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  11. 151

    A Stochastic Programming Approach for Scheduling Extra Metro Trains to Serve Passengers from Uncertain Delayed High-Speed Railway Trains by Sihui Long, Lingyun Meng, Xiaojie Luan, Alessio Trivella, Jianrui Miao, Francesco Corman

    Published 2020-01-01
    “…We find that our stochastic model outperforms out-of-sample a deterministic model that relies on forecasts of the delay by a range of 3–5%. …”
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  12. 152

    A First Application of the Backward Technique in Social Sciences: Exploring Demographic Noise in a Model with Three Personality Types by Roberto Macrelli, Margherita Carletti, Vincenzo Fano

    Published 2024-12-01
    “…When the populations are small, only space-discrete stochastic models are capable of describing demographic noise; when the populations are large, these discrete models converge to continuous models described by stochastic ordinary differential systems, maintaining the essence of intrinsic noise. …”
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  13. 153

    Life cycle management of capital construction object with minimization of atmospheric air pollution by V. N. Azarov, O. V. Burlachenko, A. O. Burlachenko, M. D. Azarova

    Published 2024-03-01
    “…Based on the developed life cycle model, expressions for determining the probability of events occurrence during the LC CCO are obtained. This stochastic model allows you to predict the state of the control object when implementing a particular solution. …”
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  14. 154

    Expected annual minima from an idealized moving-average drought index by J. H. Stagge, K. Sung, K. Sung, I. F. Munyejuru, M. A. I. Haidar

    Published 2025-02-01
    “…To accomplish this, we derive a stochastic model and use it to simulate 10 <span class="inline-formula">×10<sup>6</sup></span> years of daily or monthly SPI values in order to determine the distribution of annual exceedance probabilities. …”
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  15. 155
  16. 156

    The influence of farm connectedness on foot‐and‐mouth disease outbreaks in livestock by Jean B. Contina, Rachel L. Seibel, Bhim Chaulagain, Karasi B. Mills, Michael J. Tildesley, Christopher C. Mundt

    Published 2024-12-01
    “…We used a spatially explicit stochastic model to simulate FMD outbreaks on livestock farm operations in four UK counties. …”
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  17. 157

    A new hybrid distance and similarity based scenario reduction approach for stochastic economic operation of microgrid by Gaurav Gangil, Amit Saraswat, Sunil Kumar Goyal

    Published 2025-03-01
    “…This paper attempts to develop a multi-time period stochastic optimization model for economic operations of a typical microgrid by employing a scenario-based analysis approach to exploit various uncertainties associated with variable renewable energy (VRE) generations, electricity prices, and load demand. This stochastic model is aimed at generating the optimum schedules for various dispatchable generating resources such as micro-turbines, fuel cells, utility grid, energy storage devices as per the availability of the various VRE resources to meet the uncertain demand for a day-to-day microgrid operation. …”
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