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A new approach on fractional calculus and probability density function
AIMS Mathematics, 2020 In statistical analysis, oftentimes a probability density function is used to describe the relationship between certain unknown parameters and measurements taken to learn about them.
Shu-Bo Chen +4 more
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Neutrosophic Sets and Systems, 2020 Deneutrosophication is a process to evaluate real output from neutrosophic information. The paper presents on a novel deneutrosophication algorithm. The process is developed with similarity measure and probability density function (PDF). This similarity
Kanika Mandal
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A generalized beta function and associated probability density
International Journal of Mathematics and Mathematical Sciences, 2002 We introduce and establish some properties of a generalized form of the beta function. Corresponding generalized incomplete beta functions are also defined.
Y. Ben Nakhi, S. L. Kalla
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Dark-photon search using data from CRESST-II Phase 2
European Physical Journal C: Particles and Fields, 2017 Identifying the nature and origin of dark matter is one of the major challenges for modern astro and particle physics. Direct dark-matter searches aim at an observation of dark-matter particles interacting within detectors.
G. Angloher +42 more
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Short-Term Probability Density Function Forecasting of Industrial Loads Based on ConvLSTM-MDN
Frontiers in Energy Research, 2022 Load forecasting for industrial customers is essential for reliable operation decisions in the electric power industry. However, most of the load forecasting literature has been focused on deterministic load forecasting (DLF) without considering ...
Yuan Y. Wang +5 more
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One-dimensional stable probability density functions for rational index 0<α≤2 [PDF]
, 2008 Fox’s H-function provide a unified and elegant framework to tackle several physical phenomena. We solve the space fractional diffusion equation on the real line equipped with a delta distribution initial condition and identify the corresponding H ...
Agapitos Hatzinikitas +28 more
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Modelling conditional probabilities with Riemann-Theta Boltzmann Machines [PDF]
, 2019 The probability density function for the visible sector of a Riemann-Theta Boltzmann machine can be taken conditional on a subset of the visible units. We derive that the corresponding conditional density function is given by a reparameterization of the ...
Carrazza, Stefano +2 more
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An introductory survey of probability density function control
Systems Science & Control Engineering, 2019 Probability density function (PDF) control strategy investigates the controller design approaches where the random variables for the stochastic processes were adjusted to follow the desirable distributions. In other words, the shape of the system PDF can
Mifeng Ren, Qichun Zhang, Jianhua Zhang
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Pengaruh Pencahayaan terhadap Kinerja Segmentasi
ComTech, 2014 Â Light intensity may affect the image quality of an object that can cause barriers in doing preprocessing to improve the image quality of a digital image.
Iman H. Kartowisatro
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Rainfall probability modeling for Neelambur areas of Coimbatore, Tamil Nadu
Journal of Agrometeorology, 2009 Daily rainfall data obtained from the rain gauge station, Sulur (110 N and 770 E) were analyzed for fitting one day maximum rainfall, average weekly, monthly and seasonal rainfall data, using different distributions like Normal, Log-normal, Gumbel and ...
B. MAHESHWARA BABU, D. C. SAHOO
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