Seismic fragility curves based on the probability density evolution method by Thuat-Cong Dang, Thien-Phu Le, Pascal Ray

“…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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Probability Evaluation Study of Soil Erosion Types in the Songhua River Basin Based on Deep Learning and Gaussian Kernel Density Estimation by XING Zhenxiang, WANG Jiaqi, ZHANG Hongxue, SONG Jian, WANG Yinan, DUAN Weiyi, GONG Ming, HUANG Changli

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Solar Probability Density Estimation Using Adaptive Parametric/Nonparametric Hybrid Model by Maisam Wahbah, Bashar Zahawi, Tarek H. M. El-Fouly

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Evaluating the Use of Drones Equipped with Thermal Sensors as an Effective Method for Estimating Wildlife by Jared T. Beaver, Robert W. Baldwin, Max Messinger, Chad H. Newbolt, Stephen S. Ditchkoff, Miles R. Silman

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Estimation of the probability of failure during operation of a prefabricated cutting tool with replaceable polyhedral plates by nonparametric statistics methods by K. V. Syzrantseva, N. A. Vasilega

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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

“…This paper uses the probability credibility interval number ranking method to evaluate the bus transfer efficiency. …”
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Features of construction of evaluation algorithms multidimensional random processes by A. A. Lobaty, A. Y. Bumai

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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

“…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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A Novel Hybrid Item-Based Similarity Method to Mitigate the Effects of Data Sparsity in Multi-Criteria Collaborative Filtering by Burcu Demirelli Okkalioglu

“…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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A Novel Evaluation of Income Class Boundaries Using Inflection Points of Probability Density Functions: A Case Study of Brazil by Rafael Bittencourt, Hernane Borges de Barros Pereira, Marcelo A. Moret, Ivan C. Da Cunha Lima, Serge Galam

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Estimation methods of information intensity of the tracklaying vehicle driver's work by M. Y. Manzin

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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

“…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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The Effect of Nodal Deviation on the Reliability Performance of the Optimized Free-Form Single-Layer Reticulated Shell by Dong Li, Baoshi Jiang

“…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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Trust evaluation model for distributed home photovoltaic collection scenarios in new power system by Li LI, Xiaolong WANG, Zhixin ZHANG, Rongliang SHI, Xu GUO

“…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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Long-Term Exchange Rate Probability Density Forecasting Using Gaussian Kernel and Quantile Random Forest by Samuel Asante Gyamerah, Edwin Moyo

“…The probability density forecasting model for the exchange rate gave significant information–the probability distribution of the forecasted results. …”
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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

“…Also, we applied analytical methods for evaluating the interference effect between mobile stations using adjacent frequency bands. …”
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A new quantitative evaluation method for drilling risk based on uncertainty analysis by Zhichuan Guan, Ya-Nan Sheng, Ming Luo, Yuqiang Xu, Bo Zhang, Qing Wang

“…Therefore, establishing a quantitative evaluation method for drilling risk is becoming increasingly more urgent. …”
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Research on reliability evaluation method of anchor cable support system based on Wiener process by Mingjia Wu, Zhanshan Shi, Zhiqiang Lv, Gang Li, Bing Qin, Jianfeng Hao

“…Abstract To investigate the degradation behaviour of anchor cables in fault activation areas and to effectively assess the reliability of anchor cable support, a reliability evaluation method for anchor cable support based on the Wiener process and a scientific on-site anchor cable replacement cycle were proposed. …”
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eDNAjoint: An R package for interpreting paired or semi‐paired environmental DNA and traditional survey data in a Bayesian framework by Abigail G. Keller, Ryan P. Kelly

“…The rate of eDNA detection often corresponds to species density, rather than just occupancy, and researchers often have access to observations from non‐genetic sampling methods at the same sites. …”
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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

“…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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