Quaternion Fractional Fourier Transform: Bridging Signal Processing and Probability Theory by Muhammad Adnan Samad, Yuanqing Xia, Saima Siddiqui, Muhammad Younus Bhat, Didar Urynbassarova, Altyn Urynbassarova

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The Group-Algebraic Formalism of Quantum Probability and Its Applications in Quantum Statistical Mechanics by Yan Gu, Jiao Wang

Subjects: “…quantum probability theory…”
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From Determinism and Probability to Chaos: Chaotic Evolution towards Philosophy and Methodology of Chaotic Optimization by Yan Pei

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Performance characteristics of the fork-join queuing system by V. I. Klimenok

“…The special interest of the study is to obtain the lower and upper bounds of the mean sojourn time of a customer in the system.Methods. Methods of probability theory, queuing theory and matrix theory are used.Results. …”
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Dynamic Characteristics Analysis and Applications of Electromagnetic Environment Based on Group Perception by Peiwei Gao, Yongfeng Zhi, Chufeng Hu

“…The probability density function of the field distribution measured at any moment is mapped on to a statistical manifold. …”
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MODEL OF RATING OF NON PHYSICAL QUANTITY by V. M. Romanchak

“…For example, is equally likely outcomes in classical probability theory or equality of scale interval of a measuring scale. …”
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A New Neutrosophic Negative Binomial Distribution: Properties and Applications by Rehan Ahmad Khan Sherwani, Sadia Iqbal, Shumaila Abbas, Muhammad Aslam, Ali Hussein AL-Marshadi

“…Several properties of the proposed distribution, such as moment generating function, characteristic function, and probability generating function, are also derived. …”
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Expressiveness of Commutative Quantum Circuits: A Probabilistic Approach by Jorge M. Ramirez, Elaine Wong, Caio Alves, Sarah Chehade, Ryan Bennink

“…Based on the Fourier series representation of these circuits, we express quantum expectation and pairwise fidelity as characteristic functions of random variables, and we characterize expressiveness as the recurrence probability of a random walk on a lattice. …”
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Modeling and Predicting Stochastic Merging Behaviors at Freeway On-Ramp Bottlenecks by Jian Sun, Kang Zuo, Shun Jiang, Zuduo Zheng

“…First, it gives the quantitative measurement of the rejected gap which is also a detailed description of non-merging event and investigated the characteristics of the multi-rejected gaps; second, taking the multi-rejected gaps into consideration, it further expanded the concept of the “critical gap” which can be a statistic one and the distribution function of merging probability with respect to such gaps was analyzed by means of survival analysis. …”
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The Construction of an Action-Speech Feature-Based School Violence Recognition Algorithm and Occupational Therapy Education Model for Adolescents by Shuaiqing Zhang, Huan Li

“…Based on the classical D-S theory, we proposed an improved D-S evidence fusion algorithm by modifying the original evidence model with a new probability distribution function and constructing new fusion rules, which can solve the fusion conflict problem well. …”
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The ideals of student youth in relation to the present, possible and anti-ideal by I. A. Nikolaeva

“…The correlation of ideals with these categories reveals their functionality as regulators of social behaviour. The theories of self-concepts and identity most fully use this system of categories. …”
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Copula-Based Joint Flood Frequency Analysis: The Case of Guder River, Upper Blue Nile Basin, Ethiopia by Mesfin Mamo Haile, Rakesh Khosa, Asnake Kassahun Abebe, Ayansa Teshome Gelalcha, Abera Misgana Tolera

“…This study utilizes copula functions for bivariate modeling of flood peak and volume characteristics, examining the performance of four Archimedean copulas in the Guder basin located in Ethiopia from 1987 to 2017. …”
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Uncertainty analysis of linear and non-linear regression models in the modeling of water quality in the Caspian Sea basin: Application of Monte-Carlo method by Sahar Heidari Masteali, Mahmoud Bayat, Pete Bettinger, Mansour Ghorbanpour

“…In the third stage, new regression models were created using the data from the previous stages. Probability density functions related to the output of the models were developed, and uncertainty analysis was conducted based on the behavior of the models. …”
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