Results 131 to 140 of about 4,682 (265)

Recursive Grid Indexing for Fast Non‐Uniform Quantization Without Binary Search

Software: Practice and Experience, EarlyView.
ABSTRACT Purpose To present Recursive Grid Indexing (RGI), a practical software technique for accelerating non‐uniform quantization and predecessor queries without relying on binary search at any stage. Design/Methodology/Approach RGI replaces conventional logarithmic binary search with a recursive, low‐branching grid structure. The method constructs a
Oswaldo Cadenas
wiley   +1 more source

Asymptotic expansion of regular and connected regular graphs

We derive the asymptotic expansion (asymptotics with an arbitrary number of error terms) of k-regular graphs by applying the Laplace method on a recent exact formula from Caizergues and de Panafieu (2023). We also deduce the asymptotic expansion of connected k-regular graphs using standard techniques for divergent series developed by Wright (1970) and ...
openaire   +2 more sources

Corporate Social Responsibility and Firm Performance: Investigating the Role of Management Innovation Through Marketing Intensity

Thunderbird International Business Review, EarlyView.
ABSTRACT This study investigates the relationship between Corporate Social Responsibility (CSR) and firm performance using panel data from 716 Chinese firms listed on the Shanghai and Shenzhen Stock from 2013 to 2019. It further examines the role of management innovation, specifically marketing intensity, in moderating the CSR–financial performance ...
Freeman Brobbey Owusu, Dafydd Mali, Adil El Fakir, Hafez Abdo, Albert Acheampong   +4 more
wiley   +1 more source

Semiclassical limit and well-posedness of nonlinear Schrodinger-Poisson systems

Electronic Journal of Differential Equations, 2003
This paper concerns the well-posedness and semiclassical limit of nonlinear Schrodinger-Poisson systems. We show the local well-posedness and the existence of semiclassical limit of the two models for initial data with Sobolev regularity, before shocks ...
Hailiang Li, Chi-Kun Lin
doaj  

A Detailed and Comprehensive Account of Fractional Physics‐Informed Neural Networks: From Implementation to Efficiency

Artificial Intelligence for Engineering, EarlyView.
Caputo‐based fPINNs accurately solve fractional ODEs and PDEs while exposing an accuracy–cost trade‐off driven by the history‐dependent fractional derivative. Temporal collocation and shorter time windows are the most effective strategies for improving early‐time accuracy without unnecessary spatial refinement.
Donya Dabiri, Joshua DaRosa, Milad Saadat, Deepak Mangal, Safa Jamali   +4 more
wiley   +1 more source

Contrastive ecoacoustic indices: Large‐scale global soundscape characterization with contrastive inference

Methods in Ecology and Evolution, EarlyView.
Abstract Ecoacoustics mainly aims at monitoring soundscapes by means of non‐invasive protocols. Despite the widespread adoption of machine and deep learning techniques, existing ecoacoustic models predominantly rely on supervised learning and, consequently, face two primary limitations: (1) the necessity of annotated data; and (2) the restriction to ...
Yann Teytaut, Sylvain Haupert, Lorenzo Dubois, Ludovic Crochard, Frédéric Azémar, Ángel G. Guevara, Patricia Balaresque, Jérôme Sueur   +7 more
wiley   +1 more source

Better defining habitat patches to improve spatially explicit modelling outputs

Methods in Ecology and Evolution, EarlyView.
Abstract Simulation modelling is becoming increasingly widespread to evaluate population biological responses to global changes such as habitat loss or habitat fragmentation. To produce reliable results, this approach requires great care in setting up the model.
Mailys Queru, Aurélie Coulon, Stephen C. F. Palmer, Justin M. J. Travis, Cécile H. Albert   +4 more
wiley   +1 more source

Well-posedness, regularity, and asymptotic behavior of continuous and discrete solutions of linear fractional integro-differential equations with time-dependent order

Electronic Journal of Differential Equations, 2018
We study the well-posedness of abstract time evolution fractional integro-differential equations of variable order $u(t)=u_0 + \partial^{-\alpha(t)}Au(t)+f(t)$.
Eduardo Cuesta, Rodrigo Ponce
doaj  

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

Differential item functioning detection across multiple groups

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Differential item functioning (DIF) can be investigated by estimating item response theory (IRT) parameters separately for different respondent groups, thus allowing for the detection of discrepancies in parameter estimates across groups. However, before comparing the estimates, it is necessary to convert them to a common metric due to the ...
Michela Battauz
wiley   +1 more source