Results 181 to 190 of about 8,450 (282)

Approximation Properties of Chlodovsky-Type Two-Dimensional Bernstein Operators Based on (p, q)-Integers

Ümit Karabıyık, Adem Ayık, Ali Karaisa   +2 more
openalex   +3 more sources

Most totally real fields do not have universal forms or the Northcott property. [PDF]

Proc Natl Acad Sci U S A
Daans N, Kala V, Man SH, Widmer M, Yatsyna P.   +4 more
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

On Algebraic Properties of Primitive Eisenstein Integers with Applications in Coding Theory. [PDF]

Entropy (Basel)
Hadi A, Isnaini U, Wijayanti IE, Ezerman MF.   +3 more
europepmc   +1 more source

Mortality Forecasting Using Variational Inference

Journal of Forecasting, EarlyView.
ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley   +1 more source

A note on the sums of powers of consecutive q-integers [PDF]

, 2005
Yılmaz Şimşek, D. Kim, T. Kim, Seog-Hoon Rim   +3 more
openalex   +1 more source

On Quantum Ergodicity for Higher Dimensional Cat Maps. [PDF]

Commun Math Phys
Kurlberg P, Ostafe A, Rudnick Z, Shparlinski IE.   +3 more
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

The Variance-Gamma Product Distribution. [PDF]

Results Math
Gaunt RE, Li S, Sutcliffe HL.
europepmc   +1 more source

APPROXIMATION BY MODIFIED LUPAS-STANCU OPERATORS BASED ON (p; q)-INTEGERS

Eurasian Mathematical Journal, 2021
Asif Khan, Zaheer Abbas, Mohd Qasim, Mohammad Mursaleen   +3 more
openaire   +1 more source