Results 81 to 90 of about 5,260,799 (222)

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

Certain fractional conformable inequalities for the weighted and the extended Chebyshev functionals

Advances in Difference Equations, 2020
The main aim of this present paper is to establish fractional conformable inequalities for the weighted and extended Chebyshev functionals. We present some special cases of our main result in terms of the Riemann–Liouville fractional integral operator ...
Asifa Tassaddiq, Gauhar Rahman, Kottakkaran Sooppy Nisar, Muhammad Samraiz   +3 more
doaj   +1 more source

Chebyshev Approximations for the Riemann Zeta Function [PDF]

Mathematics of Computation, 1971
This paper presents well-conditioned rational Chebyshev approximations, involving at most one exponentiation, for computation of eitherζ(s)\zeta (s)orζ(s)−1,.5≦s≦55\zeta (s) - 1,.5 \leqq s \leqq 55, for up to 20 significant figures. The logarithmic error is required in one case.
Cody, W. J., Hillstrom, K. E., Thacher, Henry C. jun.   +2 more
openaire   +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

A numerical technique based on Lucas polynomials together with standard and Chebyshev-Lobatto collocation points for solving functional integro-differential equations involving variable delays

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018
In this paper, a new numerical matrix-collocation technique is consideredto solve functional integro-differential equations involving variable delaysunder the initial conditions.
Sevin Gümgüm, Nurcan Baykuş Savaşaneril, Ömür Kıvanç Kürkçü, Mehmet Sezer   +3 more
doaj   +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

Sequential Outlier Detection in Nonstationary Time Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs, Patrick Bastian, Holger Dette   +2 more
wiley   +1 more source

Function reconstruction as a classical moment problem: A maximum entropy approach

, 2010
We present a systematic study of the reconstruction of a non-negative function via maximum entropy approach utilizing the information contained in a finite number of moments of the function.
Akheizer N I, Arun K Bhattacharya, Fang S-C, Fletcher R, Hadamard J, Kullback S, Lent A, Maradudin A A, Parthapratim Biswas, Shannon C, Shohat A J, Smith C R, Steeb W-H, Tikhonov A, Turek I   +14 more
core   +1 more source

An efficient algorithmic method to solve Hammerstein integral equations and application to a functional differential equation

Advances in Mechanical Engineering, 2017
In this article, we present an efficient method for solving nonlinear Fredholm integral equations of the second kind. The proposed method is based on the Galerkin method and transformations of shifted Chebyshev polynomials.
E Abdolmaleki, H Saberi Najafi
doaj   +1 more source

A fast and well-conditioned spectral method for singular integral equations [PDF]

, 2016
We develop a spectral method for solving univariate singular integral equations over unions of intervals by utilizing Chebyshev and ultraspherical polynomials to reformulate the equations as almost-banded infinite-dimensional systems.
Olver, Sheehan, Slevinsky, Richard Mikael   +1 more
core   +1 more source