Showing 1 - 20 results of 255 for search 'probability density evaluation methods', query time: 0.13s Refine Results
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    Seismic fragility curves based on the probability density evolution method by Thuat-Cong Dang, Thien-Phu Le, Pascal Ray

    Published 2017-06-01
    “…The common assumption of existing approaches is that the fragility curve is a cumulative probability log-normal function. In this paper, we propose a new technique for construction of seismic fragility curves by numerical simulation using the Probability Density Evolution Method (PDEM). …”
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    Analytical Dependence of the Probability of Masking Objects on the Density and Dispersion of the Aerosol by A. А. Brusenin, S. А. Krasilnikov, V. N. Penyaz, D. N. Buryak, I. V. Artamonov, V. D. Burkov

    Published 2023-08-01
    “…With the existing method for evaluating the effectiveness of masking objects with aerosols, two parameters are used: the length and width of an invisible smoke screen with a probability of at least 50 %. …”
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    Trust evaluation model for distributed home photovoltaic collection scenarios in new power system by Li LI, Xiaolong WANG, Zhixin ZHANG, Rongliang SHI, Xu GUO

    Published 2023-07-01
    “…Aiming at the problem that the existing sensor network trust evaluation model could not be directly applied to the new power system distributed home photovoltaic collection scenario, which was difficult to meet the require-ments of strong computing power and high defense power of the new power system, a distributed dynamic trust evaluation model based on multi-index detection was proposed.Firstly, the communication trust evaluation based on Bayes was carried out according to the historical interaction of terminal acquisition nodes.Then, the currently col-lected data was evaluated by perceptual trust based on its historical data support degree and regional trust based on probability density.Finally, the entropy weight method was used to decentralize each trust module’s values dynamically.The node activeness and double reward and punishment mechanism were introduced to calculate the comprehensive trust value and realize the dynamic update.The experimental results show that the four levels of the trust evaluation model are suitable for the new power system environment and can be used to detect the distributed in 20 round period of household photovoltaic power generation collection given the signal in the scene, achieve dynamic and accurate trust evaluation of abnormal nodes in the case of physical environment factors, equipment quality factors, human misoperation and malicious intrusion.…”
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    Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis by Ho-Kyung Son, Che-Young Kim

    Published 2013-01-01
    “…This paper provides an analytical derivation of the probability density function of signal-to-interference-plus-noise ratio in the scenario where mobile stations interfere with each other. …”
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    Long-Term Exchange Rate Probability Density Forecasting Using Gaussian Kernel and Quantile Random Forest by Samuel Asante Gyamerah, Edwin Moyo

    Published 2020-01-01
    “…The probability density forecasting model for the exchange rate gave significant information–the probability distribution of the forecasted results. …”
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    Evaluation of Transfer Efficiency between Subway and Bus Based on the Interval Number Ranking Method by Employing Probability Reliability: Taking Ningbo for Example by Zhenyu Chen, Zhengfeng Huang, Lingli Yang, Pengjun Zheng

    Published 2021-01-01
    “…This paper uses the probability credibility interval number ranking method to evaluate the bus transfer efficiency. …”
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    A Novel Hybrid Item-Based Similarity Method to Mitigate the Effects of Data Sparsity in Multi-Criteria Collaborative Filtering by Burcu Demirelli Okkalioglu

    Published 2025-01-01
    “…Additionally, it incorporates <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-divergence as a global similarity measure, leveraging the probability density distribution of ratings to compute similarities even when user overlap is minimal or absent. …”
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    Enhancing Wheat Spike Counting and Disease Detection Using a Probability Density Attention Mechanism in Deep Learning Models for Precision Agriculture by Ruiheng Li, Wenjie Hong, Ruiming Wu, Yan Wang, Xiaohan Wu, Zhongtian Shi, Yifei Xu, Zixu Han, Chunli Lv

    Published 2024-12-01
    “…Addressing the shortcomings of traditional detection methods, we propose an advanced feature extraction strategy and a model based on the probability density attention mechanism, designed to more effectively handle feature extraction in complex backgrounds and dense areas. …”
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    The Effect of Nodal Deviation on the Reliability Performance of the Optimized Free-Form Single-Layer Reticulated Shell by Dong Li, Baoshi Jiang

    Published 2025-05-01
    “…Shape optimization is carried out with the objective function of minimizing the strain energy under the uniform vertical load, and the influence of the nodal deviation on the reliability performance of the optimized structure is performed by analyzing changes in the structural response’s probability density function (PDF). The elastic modulus, yield strength, and nodal deviation of the material were selected as the basic random variables, and the PDF of the structural response was calculated using the probability density evolution method. …”
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    Confidence evaluation for feature selection in expanded feature space based on density of states by Koki Obinata, Yasuhiko Igarashi, Kenji Nagata, Keitaro Sodeyama, Masato Okada

    Published 2025-03-01
    “…In this study, we propose a novel method to quantitatively evaluate the significance of low-dimensional models obtained from an expanded feature space using the density of states (DoS) for the evaluation metrics. …”
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    Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning by Meiyan Zhao, Yuhu Zhang, Tao Hu, Peng Wang

    Published 2022-01-01
    “…The performance of interval prediction methods is evaluated by the prediction interval coverage probability (PICP), prediction interval normalized average width (PINAW), and coverage width criteria (CWC). …”
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