Ecological drivers of malaria vector habitat and transmission over 1 year of long-lasting insecticidal net intervention in Côte d’Ivoire by Benoit Talbot, Ludovic P. Ahoua Alou, Alphonsine A. Koffi, Colette Sih, Edouard Dangbenon, Marius G. Zoh, Soromane Camara, Serge B. Assi, Raphael N’Guessan, Louisa A. Messenger, Natacha Protopopoff, Jackie Cook, Manisha A. Kulkarni

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The sealing of fixed joints by A. P. Kushnir, Yu. S. Asadova

“…A new law of probability density distribution is proposed, which more adequately describes the considered boundary conditions of the experiment. …”
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Interval Nonprobabilistic Reliability Analysis for Ancient Landslide considering Strain-Softening Behavior: A Case Study by Zilong Zhou, Chenglong Lin, Xin Cai, Riyan Lan

“…Due to the great difficulty in obtaining the probability density distribution of geoparameters, an interval nonprobability reliability analysis framework combined with numerical strain-softening constitutive relations was established in this paper. …”
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Enhancing Guided Wave Tomography for Improved DefectDetection in Critical Structures by Igor Sakhabiev, Maolin Li, Younho Cho, Young H Kim

“…DC-RAPID overcomes these limitations by integrating density-based clustering, which effectively reduces false positives and identifies high-probability zones. …”
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Coupling coordination analysis and factors of “Urban renewal-ecological resilience-water resilience” in arid zones by Yu Sun, Xinwu Li

“…The paper applies the comprehensive evaluation method, modified CCD model, kernel density estimation, traditional and spatial Markov chain, spatial econometric model, and GTWR, to analyze the distribution characteristics, spatial evolution, and factors of coordinated level of urban renewal-ecological resilience-water resilience in the 14 prefectures in Xinjiang from 2010–2021. …”
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Hierarchical Mixed-Precision Post-Training Quantization for SAR Ship Detection Networks by Hang Wei, Zulin Wang, Yuanhan Ni

“…Subsequently, to minimize the quantization error of the layers, an intra-layer mixed-precision quantization strategy based on probability density assigns a greater number of quantization bits to regions where the probability density is low for higher values. …”
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Improving Gaussian Naive Bayes classification on imbalanced data through coordinate-based minority feature mining by Wei Wang, Li Yan, Fen Liu, Yanxi Li

“…Based on these new features, the GNB classifier can increase the conditional probability of the minority class, thereby improving its classification performance on imbalanced datasets. …”
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A trial on higher order mutual correlation for acoustic and electromagnetic environment around VDT by M. Ohta, Y. Fujita

“…In this paper, some new trial of hierarchically evaluating mutual correlation between them is proposed based on the conditional probability density function form derived from a statistical type Hermite series expansion expression for the two-variate joint probability density function. …”
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Effect of random terms on the shape of dendrites analyzed by the phase-field model. by Shinya Fujiwara, Kiyoshiro Okada, Katsuhiro Endo, Kenta Hirayama, Mayu Muramatsu

“…On the basis of the introduced terms, we clarify that each term requires a different order of the variance. The probability density function of random numbers does not affect the shape of dendrites. …”
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The γ-order generalized chi-square distribution by Christos P. Kitsos, Ioannis S. Stamatiou

“…We proceed on the definition of the γ-order generalized chi-square, [Formula: see text] and the probability density function (pdf) is evaluated. Moreover, the moment generating function (mgf) of the [Formula: see text] is evaluated and in the case of γ = 2 the mgf of the well known [Formula: see text] is obtained. …”
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Sequential Bearings-Only-Tracking Initiation with Particle Filtering Method by Bin Liu, Chengpeng Hao

“…In addition, the nonlinear measurements lead to a non-Gaussian posterior probability density function (pdf) in the optimal Bayesian sequential estimation framework. …”
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Quantitative research on aesthetic value of the world heritage karst based on UGC data: A case study of Huangguoshu Scenic Area. by Xi Zhao, Kangning Xiong, Meng Zhang

“…This method enhances the data source channel, which is conducive to obtaining the correct tourist evaluation orientation. In traditional subjective landscape evaluation, rational parameter indicators are added to reduce the probability of error, provide data support for its natural beauty description, break through the time and space limitations of aesthetic evaluation, and provide scientific reference for quantifying the aesthetic value of other heritage sites.…”
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Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method by ZHANG Dake, TANG Zhihui, WEI Yingjing, LI Taosheng, CAO Qinjian, SUN Bowen

“…., the GUM (Guide to the Uncertainty in Measurement) method) unsuitable.PurposeThis study aims to demonstrate the application of the Monte Carlo (MC) method as an effective tool for evaluating measurement uncertainty in multi-sphere spectrometers, addressing the challenges posed by complex systems and non-linear problems.MethodsFirst of all, the MC method was employed to conduct probability density sampling of input variables to obtain the probability density distribution of the output variables. …”
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Predicting Diameter Distributions in Mixed Forests in Southern Mexico by Juan Carlos Guzmán-Santiago, Héctor Manuel de los Santos-Posadas, Benedicto Vargas-Larreta, Martín Gómez-Cárdenas, Wenceslao Santiago-García, Adan Nava-Nava

“…This is achieved by collecting forest inventory data and applying them to probability density functions. The objective of this study was to identify the optimal probability density function for describing the diameter distribution in a mixed temperate forest in Oaxaca, Mexico. …”
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A Rapid Population Assessment Method for Wild Pigs Using Baited Cameras at 3 Study Sites by Peter E. Schlichting, James C. Beasley, Raoul K. Boughton, Amy J. Davis, Kim M. Pepin, Michael P. Glow, Nathan P. Snow, Ryan S. Miller, Kurt C. VerCauteren, Jesse S. Lewis

“…We found that estimates of occupancy probability, detection probability, and N‐mixture estimates were positively correlated with spatially explicit capture–recapture density estimates. …”
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Error Quantification of Gaussian Process Regression for Extracting Eulerian Velocity Fields from Ocean Drifters by Junfei Xia, Mohamed Iskandarani, Rafael C. Gonçalves, Tamay Özgökmen

“…This study addresses these gaps by (1) assessing the accuracy of GPR-reconstructed fields and their error estimates, (2) evaluating GPR performance across temporal and spatial dimensions, and (3) analyzing the relationship between training data density and prediction accuracy. …”
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Rapid Contrast Enhancement Algorithm for Natural Contrast- Distorted Color Images by Asmaa Albakri, Zohair Al-Ameen

“…The developed algorithm consists of four steps, in that the first two steps include separate processing of the input image by the probability density function of the standard normal distribution and the softplus function. …”
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Statistical model for assessing the reliability of non-destructive testing systems by solving inverse problems by A. E. Alexandrov, S. P. Borisov, L. V. Bunina, S. S. Bikovsky, I. V. Stepanova, A. P. Titov

“…The calculation data were used to construct curves of the probability density of detected defects as a function of the defect size, recover the values of the defect distribution parameters under various test conditions, and estimate the error of recovering the parameters. …”
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PileBetaGR: An R-based integrative tool for predicting the geometric reliability index of piles using load-displacement curves by Xing Zheng Wu

“…The application compiles a series of functions for analyzing load-displacement data: (i) a power law regression is used to fit each load-displacement curve, yielding a set of regression parameters for the site; (ii) a normal copula model is established to fit the joint distribution of these regression variables, allowing a geometric reliability index to be computed; (iii) the critical environmental contour is determined based on the joint probability density function and the limit state function. …”
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A New Bivariate Survival Model: The Marshall-Olkin Bivariate Exponentiated Lomax Distribution with Modeling Bivariate Football Scoring Data by Sulafah M. S. Binhimd, Zakiah I. Kalantan, Abeer A. EL-Helbawy, Gannat R. AL-Dayian, Ahlam A. M. Mahmoud, Reda M. Refaey, Mervat K. Abd Elaal

“…Numerous attributes are examined, including the joint reliability and hazard functions, the bivariate probability density function, and its marginals. The joint probability density function and joint cumulative distribution function can be stated analytically. …”
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