Results 171 to 180 of about 2,218,762 (336)

The Laplacian Spread of a Tree

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2008
The Laplacian spread of a graph is defined to be the difference between the largest eigenvalue and the second smallest eigenvalue of the Laplacian matrix of the graph.
Yi-Zheng Fan   +3 more
doaj  

Separation Maps for Classification of Multiple Partial Discharges: A Comparative Study Focusing on Time and Frequency Characteristics

open access: yesHigh Voltage, EarlyView.
ABSTRACT Electrical insulation faults produce partial discharges (PD), which can be analysed to identify specific types of defects. PD clustering is a widely used method to identify PD sources, although its success depends largely on the feature maps used.
Jannery Rivas   +4 more
wiley   +1 more source

Normalized Laplacian spectrum of some subdivision-joins and R-joins of two regular graphs

open access: yesAKCE International Journal of Graphs and Combinatorics, 2018
In this paper we determine the full normalized Laplacian spectrum of the subdivision-vertex join, subdivision-edge join, R-vertex join, and R-edge join of two regular graphs in terms of the normalized Laplacian eigenvalues of the graphs.
Arpita Das, Pratima Panigrahi
doaj  

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours ...
Marianna Chimienti   +14 more
wiley   +1 more source

adm: An R package for constructing abundance‐based species distribution models

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Abundance‐based species distribution models (ADM) correlate species abundance with environmental data to model and project abundance throughout space or time. This promising and still developing technique has gained significant attention in recent years. Here, we present the adm R package developed to support the construction of ADM, including
Admir Cesar de Oliveira Junior   +1 more
wiley   +1 more source

Complementarity in alliances: How strategic compatibility and hierarchy promote efficient cooperation in international security

open access: yesAmerican Journal of Political Science, EarlyView.
Abstract How can defense alliances reap the efficiency gains of working together when coordination and opportunism costs are high? Although specializing as part of a collective comes with economic and functional benefits, states must bargain over the distribution of those gains and ensure the costs of collective action are minimized.
J. Andrés Gannon
wiley   +1 more source

Distance Measures for Unweighted Undirected Networks: A Comparison Study

open access: yesAustralian &New Zealand Journal of Statistics, EarlyView.
ABSTRACT Networks are mathematical structures that allow the representation of complex systems by jointly modelling the elements of the system and the relationships that exist among them. To analyse different contexts or systems, methodological tools are necessary to allow for the quantitative estimation of the differences existing between two or more ...
Anna Simonetto, Matteo Ventura
wiley   +1 more source

Neural Geometry Processing via Spherical Neural Surfaces

open access: yesComputer Graphics Forum, EarlyView.
Abstract Neural surfaces (e.g., neural map encoding, deep implicit, and neural radiance fields) have recently gained popularity because of their generic structure (e.g., multi‐layer perceptron) and easy integration with modern learning‐based setups. Traditionally, we have a rich toolbox of geometry processing algorithms designed for polygonal meshes to
Romy Williamson, Niloy J. Mitra
wiley   +1 more source

Home - About - Disclaimer - Privacy