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381
Digital Modulation Identification Model Using Wavelet Transform and Statistical Parameters
Published 2008-01-01Get full text
Article -
382
Remodeling the light-adapted electroretinogram using a bayesian statistical approach
Published 2025-01-01Get full text
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383
Statistical Analysis of the Spatial and Functional Localization of Education Subsystems in Russian Regions
Published 2019-03-01Get full text
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384
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385
Statistical analysis of the influence of papillomavirus infection on human immune and antioxidative systems
Published 2002-12-01Get full text
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386
Statistical Similarity Based Change Detection for Multitemporal Remote Sensing Images
Published 2017-01-01“…This paper is concerned with this issue and analyzes statistical similarity measure to perform CD using remote sensing images of the same scene taken at two different dates. …”
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387
Property Optimisation of EPDM Rubber Composites Using Mathematical and Statistical Strategies
Published 2017-01-01“…The results demonstrate that statistical design of experiments and particle swarm optimisation (PSO) algorithms are promising methods to design composition variables. …”
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388
Statistical methods in grape and wine research for quantifying the impact of climate change
Published 2025-01-01Subjects: Get full text
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389
Constitutive Model of Rock Uniaxial Damage Based on Rock Strength Statistics
Published 2018-01-01“…Based on the assumption that rock strength follows the log normal distribution statistically, this paper establishes a damage constitutive model of rock under uniaxial stress conditions in combination with the Mohr–Coulomb strength criterion and damage mechanical theory. …”
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390
Statistical Evaluation of Indoor Air Quality Parameters in Classrooms of a University
Published 2018-01-01“…The relations between all parameters were statistically examined by means of correlation and regression analysis in SPSS 17 statistical program. …”
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391
Retracted: Inverted Length-Biased Exponential Model: Statistical Inference and Modeling
Published 2024-01-01Get full text
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392
Computing the Performance Measures in Queueing Models via the Method of Order Statistics
Published 2011-01-01“…These measures depend on the moments of order statistics. The expected value and the variance of the maximum (minimum) number of customers in the system as well as the expected value and the variance of the minimum (maximum) waiting time are presented. …”
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393
Distribution of Seafarers’ Earnings Versus Salary Distribution in Poland – Statistical Analysis
Published 2024-01-01“…To achieve this goal, a statistical analysis of earnings distribution in the seafarers’ cohort and the distribution of all earnings in Poland was conducted, followed by relevant comparisons. …”
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394
L’erotització dels llocs turístics. Espais, actors i imaginaris
Published 2018-05-01Get full text
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395
Edge Statistics for Lozenge Tilings of Polygons, II: Airy Line Ensemble
Published 2025-01-01“…We show that the edge statistics around any point on the arctic boundary, that is not a cusp or tangency location, converge to the Airy line ensemble. …”
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396
Deciphering the nature and statistical optimization of antimicrobial metabolites of two endophytic bacilli
Published 2025-01-01Get full text
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397
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification
Published 2012-01-01Get full text
Article -
398
Application of ATR-FTIR spectroscopy and multivariate statistical analysis in cancer diagnosis
Published 2025-04-01Get full text
Article -
399
Investigation of the Soan River Water Quality Using Multivariate Statistical Approach
Published 2020-01-01“…., premonsoon and postmonsoon 2019. Multivariate statistical approaches such as the Spearman correlation coefficient, cluster analysis (CA), and principal component analysis (PCA) were used to evaluate the water quality of the Soan River based on temporal and spatial patterns. …”
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400
The effect of interspike interval statistics on the information gainunder the rate coding hypothesis
Published 2013-08-01“…The question, how much information can be theoreticallygained from variable neuronal firing rate with respect to constantaverage firing rate is investigated.We employ the statistical concept of information based on the Kullback-Leibler divergence,and assume rate-modulated renewal processes as a model of spike trains.We show thatif the firing rate variation is sufficiently small and slow(with respect to the mean interspike interval), the information gaincan be expressed by the Fisher information.Furthermore, under certain assumptions, the smallestpossible information gain is provided by gamma-distributed interspikeintervals.The methodology is illustrated and discussed on severaldifferent statistical models of neuronal activity.…”
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Article