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Research article

First published 2015-1

Artificial neural networks applied for estimating a probability density function

Valentina Colla, Marco Vannucci, Leonardo M. Reyneri

Intelligent Data Analysis: An International Journal

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Research article

First published 1998

Constructing one-step and limiting fuzzy transition probabilities for finite Markov chains

Robert M. Kleyle, Andre de Korvin

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2018-4

Hidden Gaussian Markov model for distributed fault detection in wireless sensor networks

Marwa Saihi, Ahmed Zouinkhi, Boumedyen Boussaid [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 2020-8

Confidence intervals for the ratio of two independent Poisson rates: Parametric bootstrap,modified asymptotic,and approximate-estimate approaches

Mahmood Kharrati-Kopaei, Raziye Dorosti-Motlagh

Statistical Methods in Medical Research

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Research article

First published 2026-1

Unveiling sarcopenia in Sjögren’s syndrome: A hidden comorbidity

Reyhan Bilici, Esra Çataltepe, Hasan Satış [...]

Journal of Investigative Medicine

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Research article

First published 2015-5

Reliability-based optimal controller design for systems with probabilistic uncertain parameters using fuzzy limit state function

Ali Jamali, Bahman Ahmadi, Mehdi Ghamati [...]

Journal of Vibration and Control

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Research article

First published 2014-9

A Discrete Analogue of Reciprocal Coordinate Subtangent and its Role in Characterization Problems

S.M. Sunoj, T.B. Sreejith

Calcutta Statistical Association Bulletin

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Research article

First published 2020-5

A mathematical form of probabilistic vulnerability model for loss and casualty ratios

Damian N Grant

Earthquake Spectra

Open access

Research article

First published 2017-11

Simulation analysis of performances and yield rates on a lens module

Cheng-Mu Tsai, Kuan-Chieh Huang

Advances in Mechanical Engineering

Open access

Research article

First published 2015-4

Forecasting the 2012 and 2014 Elections Using Bayesian Prediction and Optimization

Steven E. Rigdon, Jason J. Sauppe, Sheldon H. Jacobson

Sage Open

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