Results 81 to 90 of about 79,817 (224)

Substitution of Ti by Nb in Maraging Steel: Effects on Strengthening Mechanisms and Crystallographic Behavior

steel research international, EarlyView.
This work demonstrates that replacing Ti with Nb in maraging steel forms nanoscale Nb–Mo particles along boundaries, strengthening the alloy without relying on Ti phases. Heat‐treatment tuning promotes uniform crystal orientation and balanced grain boundaries, enabling strong yet ductile behavior.
Mohamad Masoumi, Manoel José, Gerardo Jesus Aracena Pérez, Isabel Ferreira Barros, Marcos Natan da Silva Lima, Geronimo Perez, Samuel Lucas Santos Medeiros, Pedro Henrique Pinheiro Lima, Luís Flávio Gaspar Herculano, Maria Vittoria Moraschini Reis, Sérgio Souto Maior Tavares, Farina Alexandre Bellegard, Fridman Daniel Pallos, Miloslav Béreš, Hamilton Ferreira Gomes de Abreu   +14 more
wiley   +1 more source

GENERATING FUNCTIONS OF THE PRODUCT OF 2-ORTHOGONAL CHEBYSHEV POLYNOMIALS WITH SOME NUMBERS AND THE OTHER CHEBYSHEV POLYNOMIALS

Проблемы анализа, 2020
In this paper, we give the generating functions of binary product between 2-orthogonal Chebyshev polynomials and kFibonacci, k-Pell, k-Jacobsthal numbers and the other orthogonal Chebyshev polynomials.
H. Merzouk, B. Aloui, A. Boussayoud
doaj   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

General convergence of the methods from Chebyshev-Halley family

Journal of Numerical Analysis and Approximation Theory, 2008
In this paper we study the Chebyshev-Halley family (which contains, as particular cases, the Chebyshev method, Halley method, super-Halley method and the C-method). For Chebyshev and super-Halley methods we give a global theorem of convergence.
Raluca Anamaria Pomian
doaj   +2 more sources

Frequency selective and matching circuits having improved linearity characteristics of group delay and methods of their realization

Весці Нацыянальнай акадэміі навук Беларусі: Серыя фізіка-тэхнічных навук, 2016
A possibility of increasing the linearity of phase­frequency characteristics in the broadband matching and filtering using a modification of the classical approximation functions is described.
P. V. Boikachov
doaj  

Chebyshev Approximations by Least Squares Method

Известия Иркутского государственного университета: Серия "Математика", 2020
We consider the problem of linear approximation in the form of the minimization problem of the weighted Chebyshev norm, and that in the form of the minimization problem of the weighted Euclidean norm of the residual vector.
V.I. Zorkaltsev, E. V. Gubiy
doaj   +1 more source

Chebyshev approximation by non-Chebyshev systems

We address the problem of the best uniform approximation by linear combinations of a finite system of functions. If the system is Chebyshev and the problem is unconstrained, then the classical Remez algorithm provides a fast and precise solution. For non-Chebyshev systems, this problem may offer a great resistance.
Protasov, Vladimir Yu., Kamalov, Rinat
openaire   +2 more sources

Structure and properties of (Nd,Sr)(Al,Ta)O3 (NSAT) substrate crystals

Acta Crystallographica Section B, EarlyView.
An emerging cubic substrate material (Nd,Sr)(Al,Ta)O3 (NSAT) has been structurally and spectroscopically characterized revealing that the nominally cubic NSAT consists of partially developed cubic superstructure domains with doubled unit‐cell parameter.
Roberts Blukis, Christian Rhode, Thilo Remmele, Elias Kluth, Rüdiger Goldhahn, Martin Feneberg, Ambra Celotto, Giorgio Divitini, Mario Brützam, Darrell G Schlom, Christo Guguschev   +10 more
wiley   +1 more source

Miners' Reward Elasticity and Stability of Competing Proof‐of‐Work Cryptocurrencies

International Economic Review, EarlyView.
ABSTRACT Proof‐of‐Work cryptocurrencies employ miners to sustain the system through algorithmic reward adjustments. We develop a stochastic model of the multicurrency mining and identify conditions for stable transaction speeds. Bitcoin's algorithm requires hash supply elasticity <$<$1 for stability, while ASERT remains stable for any elasticity and ...
Kohei Kawaguchi, Junpei Komiyama, Shunya Noda   +2 more
wiley   +1 more source