Results 21 to 30 of about 114,515 (199)

Automatic optical depth parametrization in radiative transfer model RTTOV v13 via LASSO-induced sparsity [PDF]

Geoscientific Model Development
The assimilation of satellite spectral sounder data requires fast and accurate radiative transfer models. This study proposes a novel methodology to automatically parameterize atmospheric optical depths within the Radiative Transfer for TOVS (RTTOV ...
F. Vargas Jiménez, F. Vargas Jiménez, J. C. De los Reyes, J. C. De los Reyes   +3 more
doaj   +1 more source

An Efficient MQ-Signature Scheme Based on Sparse Polynomials

IEEE Access, 2020
Multivariate quadratic (MQ) equations-based cryptography is one of the most promising alternatives for currently used public-key cryptographic algorithms in the post-quantum era.
Kyung-Ah Shim, Cheol-Min Park, Namhun Koo   +2 more
doaj   +1 more source

Short-Term Hydrothermal Scheduling With Solar and Wind Farms Using Second-Order Cone Optimization With Chance-Box Constraints

IEEE Access, 2021
Short-Term Hydrothermal Scheduling (STHS) is a classic problem in power system operation where the aim is to decide the dispatch of both thermal and hydroelectric units.
Juan Camilo Castano, Alejandro Garces, Olav B. Fosso   +2 more
doaj   +1 more source

An Efficient Approach for Peak-Load-Aware Scheduling of Energy-Intensive Tasks in the Context of a Public IEEE Challenge

Energies, 2022
The shift towards renewable energy and decreasing battery prices have led to numerous installations of PV and battery systems in industrial and public buildings.
Steffen Limmer, Nils Einecke
doaj   +1 more source

Reduction of Annual Operational Costs in Power Systems through the Optimal Siting and Sizing of STATCOMs

Applied Sciences, 2021
The problem of the optimal siting and placement of static compensates (STATCOMs) in power systems is addressed in this paper from an exact mathematical optimization point of view.
Oscar Danilo Montoya, Jose Eduardo Fuentes, Francisco David Moya, José Ángel Barrios, Harold R. Chamorro   +4 more
doaj   +1 more source

Tasks of practical content as a means of qualitative mathematical training of education seekers

Науковий Вісник Південноукраїнського Національного Педагогічного Університету імені К. Д. Ушинського
In recent years, interest in mathematics among secondary school students in Ukraine has decreased significantly. In the conditions of active development of information technologies in the world knowledge of mathematics, logical thinking and analytical ...
Bilichenko Roman, Konareva Svitlana, Tkachenko Maryna, Traktynska Viktoriia   +3 more
doaj   +1 more source

INTEGRATED STATISTICAL MODELLING OF IRON EXCEEDANCE RISK: A MONTE CARLO, LOGISTIC REGRESSION, RANDOM FOREST, AND SOBOL ANALYSIS APPROACH

Barekeng
The quality of water resources in the Inaouen watershed, northern Morocco, is increasingly threatened by metal contamination, particularly iron (Fe). This study implements an integrated statistical framework to assess the risk of exceeding regulatory ...
Rachid El Chaal, Hamid Dalhi, Otmane Darbal, Moulay Othman Aboutafail   +3 more
doaj   +1 more source

Wind Power Extraction Optimization by Dynamic Gain Scheduling Approximation Based on Non-Linear Functions for a WECS Based on a PMSG

Mathematics, 2021
Mathematical models and algorithms for maximizing power extraction have become an essential topic in renewable energies in the last years, especially in wind energy conversion systems.
José Genaro González-Hernández, Rubén Salas-Cabrera   +1 more
doaj   +1 more source

Optimization of Asset and Liability Management of Banks with Minimum Possible Changes

Mathematics, 2023
Asset-Liability Management (ALM) of banks is defined as simultaneous planning of all bank assets and liabilities under different conditions and its purpose is to maximize profits and minimize the risks in banks by optimizing the parameters in the balance
Pejman Peykani, Mostafa Sargolzaei, Mohammad Hashem Botshekan, Camelia Oprean-Stan, Amir Takaloo   +4 more
doaj   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source