Results 21 to 30 of about 8,651,360 (289)
Dark-photon search using data from CRESST-II Phase 2
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
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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Rainfall probability modeling for Neelambur areas of Coimbatore, Tamil Nadu
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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Pengaruh Pencahayaan terhadap Kinerja Segmentasi
 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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Chaotic intermittency with non-differentiable M(x) function
One-dimensional maps showing chaotic intermittency with discontinuous reinjection probability density functions are studied. For these maps, the reinjection mechanism possesses two different processes.
Sergio Elaskar +2 more
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An Improved Variable Kernel Density Estimator Based on L2 Regularization
The nature of the kernel density estimator (KDE) is to find the underlying probability density function (p.d.f) for a given dataset. The key to training the KDE is to determine the optimal bandwidth or Parzen window.
Yi Jin, Yulin He, Defa Huang
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On the Probability Density Functions and the Oscillations
Consider the functional differential equation (E) \(y'(t)+a(t)y(t)+p(t)y(\tau (t))=0\) where a,p\(\in C[T,\infty)\) and lim \(\tau\) (t)\(=+\infty\). The author presents two examples of this equation having respectively the Gaussian and Laplace distributions as solutions. He then gives two nonoscillation and oscillation theorems for (E).
openaire +2 more sources
Approximation of binomial probability function for a normal probability function
Educação Superior::Ciências Exatas e da Terra::MatemáticaThe digital animation presents the approximation of the function of the binomial probability for a function of normal probability, also known as Gaussian distribution.
Rojo, Isabel Martín +3 more
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Foundation of 2-Symbolic Plithogenic Maximum a Posteriori Estimation [PDF]
In this paper, we introduce and define for the first time the plithogenic loss function, plithogenic risk function, plithogenic maximum likelihood function, and plithogenic posterior risk function, which form a base to easily define the plithogenic ...
Nizar Altounji +2 more
doaj
Using conditional kernel density estimation for wind power density forecasting [PDF]
Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind ...
Jeon, Jooyoung +3 more
core +4 more sources

