Results 51 to 60 of about 25,267,562 (240)

A Novel Versatile Decoupling Structure and Expedited Inverse-Model-Based Re-Design Procedure for Compact Single-and Dual-Band MIMO Antennas

open access: yesIEEE Access, 2021
Multiple-input multiple-output (MIMO) antennas are considered to be the key components of fifth generation (5G) mobile communications. One of the challenges pertinent to the design of highly integrated MIMO structures is to minimize the mutual coupling ...
Muhammad Abdullah, Slawomir Koziel
doaj   +1 more source

MATHEMATICAL MODELS FOR CHROMOSOMAL INVERSIONS [PDF]

open access: yesGenetics, 1967
INCE a formal characterization of the nature of inversions has not been made to date, this paper will hypothesize mathematical models for the occurrence of inversions of various lengths, obtain the associated probability distributions of lengths and midpoints of chromosomal inversions, and compare the hypothesized models with two sets of data.
W T, Federer, R G, Steel, B, Wallace
openaire   +2 more sources

Efficient Optimization of a Regional Water Elevation Model With an Automatically Generated Adjoint

open access: yesJournal of Advances in Modeling Earth Systems, 2023
Calibration of unknown model parameters is a common task in many ocean model applications. We present an adjoint‐based optimization of an unstructured mesh shallow water model for the Baltic Sea.
Tuomas Kärnä   +2 more
doaj   +1 more source

Inverse modeling of resistivity and induced polarization data for Copper mineralization exploration in Chahshen area, east of Miami, Semnan

open access: yesJournal of Economic Geology, 2023
In recent decades, various methods have been developed for mineral exploration. Geophysical methods are one example, which have seen significant development in recent years and have become a common approach in the field of mining exploration ...
Hossein Riahipour   +2 more
doaj   +1 more source

Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes

open access: yes, 2014
A method is provided for designing and training noise-driven recurrent neural networks as models of stochastic processes. The method unifies and generalizes two known separate modeling approaches, Echo State Networks (ESN) and Linear Inverse Modeling ...
Galtier, Mathieu N.   +3 more
core   +2 more sources

A State-of-the-Art Survey on Advanced Electromagnetic Design: A Machine-Learning Perspective

open access: yesIEEE Open Journal of Antennas and Propagation
Research on electromagnetic (EM) components is essential to enabling the design and optimization of such devices as antennas and filters, leading to improved functionality, reduced costs, and enhanced overall performance.
Masoud Salmani Arani   +2 more
doaj   +1 more source

Measurement of the Kinetics and Thermodynamics of the Thermal Degradation for a Flame Retardant Polyurethane-Based Aerogel

open access: yesEnergies, 2022
The current work aims to study the thermal degradation of the flame retardant polyurethane aerogel (FR_PU_aerogel) through multiple milligram-scale experimental methods. A systemic methodology for measuring the reaction kinetics and thermodynamics of the
Xinyang Wang   +6 more
doaj   +1 more source

Rewrite Closure and CF Hedge Automata [PDF]

open access: yes, 2012
We introduce an extension of hedge automata called bidimensional context-free hedge automata. The class of unranked ordered tree languages they recognize is shown to be preserved by rewrite closure with inverse-monadic rules.
A. Bouajjani   +6 more
core   +6 more sources

Optimized Modeling Strategies for the Parametrization of a Two-Parameter Friction Model Through Inverse Modeling of Conical Tube-Upsetting Tests

open access: yesMetals
Friction is a critical influencing factor for a variety of forming processes, as it affects, for example, the required forming force. Complex models for the numerical description of friction often have two or more model parameters but lack appropriate ...
Michel Henze   +4 more
doaj   +1 more source

A random forest-regression-based inverse-modeling evolutionary algorithm using uniform reference points

open access: yesETRI Journal, 2022
The model-based evolutionary algorithms are divided into three groups: estimation of distribution algorithms, inverse modeling, and surrogate modeling. Existing inverse modeling is mainly applied to solve multi-objective optimization problems and is not ...
Pezhman Gholamnezhad   +2 more
doaj   +1 more source

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