Výsledky vyhľadávania - "Probability: distributions"

Probabilistic Distributions of Moisture Damages in Swedish Buildings

Autori: Wu, Pei-Yu Johansson, Tim Mundt-Petersen, S Olof a ďalší

Zdroj: Lecture Notes in Civil Engineering. 552 LNCE:105-113

Predmety: Brick construction, Damage detection, Walls (structural partitions), Characterization, In-buildings, Indoor environment, Moisture damage, Multi variate analysis, Occurrence pattern, Probabilistic distribution, Probability: distributions, Sweden, Swedishs, Brick buildings

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-77986
https://doi.org/10.1007/978-981-97-8305-2_13

Change Detection in SAR Images using Hypothesis Testing and Shannon Entropy based on the Rayleigh Distribution

Autori: Ferreira, Jodavid A. Palm, Bruna

Zdroj: IEEE Transactions on Geoscience and Remote Sensing. 63

Predmety: Change Detection, Hypothesis Testing, Rayleigh Distribution, Sar Images, Shannon Entropy, Entropy, Monte Carlo Methods, Probability Distributions, Radar Imaging, Rayleigh Scattering, Statistical Tests, Synthetic Aperture Radar, Change Detection Algorithms, Entropy-based, Monte Carlo's Simulation, Performance, Rayleigh Distributions, Sar Data, Shannon's Entropy, Intelligent Systems

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28575
https://doi.org/10.1109/TGRS.2025.3601857

A domain-region based evaluation of ML performance robustness to covariate shift

Autori: Bayram, Firas Ahmed, Bestoun S.

Zdroj: Neural Computing & Applications. 35(24):17555-17577

Predmety: Degradation, Function evaluation, Input output programs, Machine learning, Probability distributions, Classifier evaluation, Concept drifts, Covariate shifts, Input datas, Machine-learning, Model degradations, Performance, Region-based, Robust machine learning, Two-dimensional, Probability density function, Datavetenskap, Computer Science

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-94905
https://doi.org/10.1007/s00521-023-08622-w

Comparison of Estimation Methods for the Parameters of the Frechet Distribution - using Simulation

Autori: Ahmed Mohammed Montadher Mahdi

Zdroj: المجلة العراقية للعلوم الاحصائية, Vol 22, Iss 1, Pp 101-113 (2025)

Predmety: frechet distribution, probability distributions, simulation, Probabilities. Mathematical statistics, QA273-280, estimation methods

Prístupová URL adresa: https://doaj.org/article/02ff6d5e2339442891830308b5780203

Probabilidad - Independencia de variables aleatorias

Autori: Romero Béjar, José Luis

Predmety: Reproductividad de distribuciones de probabilidad, Independencia de variables aleatorias, Teorema de la multiplicación de esperanzas, Reproductive property of probability distributions, Independence of random variables, Independence of random vectors, Independencia de vectores aleatorios, Expectation multiplication theorem

Prístupová URL adresa: https://hdl.handle.net/10481/106337

The Solutions of Caputo-Fabrizio Random Fractional Ordinary Differential Equations by Aboodh Transform Method

Autori: Yasin Şahin Mehmet Merdan

Zdroj: Volume: 18, Issue: 1149-170
Erzincan University Journal of Science and Technology
Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Predmety: Uygulamalı Matematik (Diğer), Applied Mathematics (Other), Caputo-Fabrizio fractional derivative, Aboodh Transform Method, Continuous probability distributions, variance

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/erzifbed/issue/90967/1543499

Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-Based Approach Integrating Maximum Mean Discrepancy and Optimal Transport: Arbitrary distributions mapping via SyMOT-flow: a flow-based approach integrating maximum mean discrepancy and optimal transport

Autori: Zhe Xiong Qiaoqiao Ding Xiaoqun Zhang

Zdroj: SIAM Journal on Imaging Sciences. 18:570-596

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimal transportation, maximum mean discrepancy, optimal transport, normalizing flow, probability distributions, Distribution theory, 68U10, 94A08, Probabilistic models, generic numerical methods in probability and statistics, Machine Learning (cs.LG)

Popis súboru: application/xml

Prístupová URL adresa: http://arxiv.org/abs/2308.13815

Free open source communities sustainability: Does it make a difference in software quality?

Autori: Alami, Adam Pardo, Raúl Linåker, Johan

Zdroj: Empirical Software Engineering. 29(5)

Predmety: Codes (symbols), Computer software selection and evaluation, Defects, Open source software, Open systems, Probability distributions, Code quality, Community sustainability, Free and open source community, Free and open source software sustainability, Free and open source softwares, Open source communities, OSS, Quality metrices, Software Quality, Sustainability metrics, Sustainable development

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-74706
https://doi.org/10.1007/s10664-024-10529-6

The impact of state merging on predictive accuracy in probabilistic tree automata: Dietze's conjecture revisited

Autori: Björklund, Johanna, 1961

Zdroj: Journal of computer and system sciences (Print). 146

Predmety: Probability distributions, Statistical ML, Tree automata

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-227954
https://doi.org/10.1016/j.jcss.2024.103563

Correlation of Collision Damage Statistical Properties by Gaussian Copula Functions

Autori: Gaglione S. Piscopo V. Sciacca A.

Zdroj: 2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea). :165-170

Predmety: Copula Function, Maritime transportation analytical simulation, Oil spill, Probability Distributions, Ship-ship collision

A systematic approach to modeling monthly maximum temperature and total rainfall in Kenya

Autori: Kevin Otieno Linda Chaba Collins Odhiambo a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Predmety: Goodness of fit tests, Probability distributions, Temperature, Rainfall, Block size, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/17c7ac2c8433493ab1bd907e9a83e15e

Robust Bayesian estimator for S-wave spectra, using a combined empirical Green’s function

Autori: Törnman, Wille Martinsson, Jesper Dineva, Savka

Zdroj: Geophysical Journal International. 227:403-438

Predmety: Induced seismicity, Statistical seismology, Probability distributions, Earthquake dynamics, Mining and Rock Engineering, Gruv- och berganläggningsteknik, Applied Physics, Tillämpad fysik

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-84956
https://doi.org/10.1093/gji/ggab184

Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings

Autori: Wu, Pei-Yu Sandels, Claes Johansson, Tim a ďalší

Zdroj: Resources, Conservation and Recycling. 199

Predmety: Demolition, Forecasting, Hazardous materials, Hazards, Housing, Machine learning, Polychlorinated biphenyls, Building stocks, Cost estimations, In-buildings, Machine learning models, Machine-learning, Material recovery, Pre-demolition audit, Probability: distributions, Project uncertainty, Residential building, asbestos, building, demolition, machine learning, modeling, PCB, prediction, probability, Probability distributions

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-67646
https://doi.org/10.1016/j.resconrec.2023.107253

Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks

Autori: Wu, Pei-Yu Johansson, Tim Mangold, Mikael a ďalší

Zdroj: Expert systems with applications. 222

Predmety: Bayesian network, Building stock, Methodology, Predictive inference, Radioactive concrete, Risk-based inspection, Concretes, Demolition, Health risks, Probability distributions, Radioactivity, Risk perception, Bayesia n networks, Building stocks, Indoor radon, Manufacturing plant, Predictive inferences, Probability: distributions, Risk-based, Bayesian networks

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-64306
https://doi.org/10.1016/j.eswa.2023.119812

AMBV: An Optimized Generic Viterbi Algorithm for Bayesian Networks

Autori: Greau Hamard, Pierre Samuel Djoko-Kouam, Moïse Louët, Yves a ďalší

Prispievatelia: Greau Hamard, Pierre Samuel Djoko-Kouam, Moïse Louët, Yves a ďalší

Zdroj: Journal of Scientometric Research. 13:745-756

Predmety: [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Viterbi, Automatic Markov Boundaries, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], Bayesian Networks, Optimized, Sparse probability distributions, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Most probable network state, Generic

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-04825380v1
https://doi.org/10.5530/jscires.20040285
https://hal.science/hal-04825380v1/document

Graphical interface for goodness-of-fit evaluation and clustering of probability distributions in environmental datasetsThe data supporting the findings of this study are publicly available from the Copernicus Marine Service at .

Autori: Felix Reba Toha Saifudin Rimuljo Hendradi

Zdroj: MethodsX, Vol 15, Iss , Pp 103586- (2025)

Predmety: Chlorophyll, Probability distributions, Model evaluation, K-means, Mixture model, Model accuracy, Science

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215016125004303; https://doaj.org/toc/2215-0161

Prístupová URL adresa: https://doaj.org/article/f9258273e7b045e5aaa13dee1e4b290f

GPU optimization techniques to accelerate optiGAN—a particle simulation GAN

Autori: Srikanth, Anirudh Trigila, Carlotta Roncali, Emilie

Zdroj: Machine Learning: Science and Technology. 5(2)

Predmety: Information and Computing Sciences, Applied Computing, Machine Learning, generative adversarial networks, graphics processing unit, performance optimization, radiation detector, multidimensional probability distributions, Monte-Carlo simulation, Applied computing, Machine learning

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/49m9s8v1
https://escholarship.org/content/qt49m9s8v1/qt49m9s8v1.pdf

A new approach to solving local fractional Riccati differential equations using the Adomian-Elzaki method

Autori: Hilal Aydemir Mehmet Merdan Ümit Demir

Zdroj: AIMS Mathematics, Vol 10, Iss 4, Pp 9122-9149 (2025)

Predmety: local fractional derivative, elzaki-adomian decomposition method, continuous probability distributions, expectation value, variance, Mathematics, QA1-939

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2473-6988

Prístupová URL adresa: https://doaj.org/article/0b950bc65d8e4dff96f0fe33438e0cb7

On post-processing in the quantum algorithm for computing short discrete logarithms

Autori: Ekerå, Martin

Zdroj: Designs, Codes and Cryptography. 88(11):2313-2335

Predmety: Discrete logarithms, Factoring, RSA, Shor’s algorithms, Quantum theory, Post processing, Postprocessing algorithms, Quantum algorithms, Probability distributions

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-287980
https://doi.org/10.1007/s10623-020-00783-2

Entangled Probability Distributions for Center-of-Mass Tomography

Autori: Ivan V. Dudinets Margarita A. Man’ko Vladimir I. Man’ko

Zdroj: Physics, Vol 6, Iss 3, Pp 1035-1045 (2024)

Predmety: Quantum Physics, Physics, QC1-999, 0103 physical sciences, center-of-mass tomography, FOS: Physical sciences, entangled probability distributions, entanglement, symplectic tomography, Quantum Physics (quant-ph), 01 natural sciences

Prístupová URL adresa: http://arxiv.org/abs/2406.06778
https://doaj.org/article/f59fa8a00cd94f329d64f5495625d64d