Results 91 to 100 of about 5,055,398 (233)

Machine learning enhanced formation pressure prediction using integrated well logging and mud logging

open access: yesScientific Reports
The difficulty of accurately predicting abnormally high-pressure formation pressure is one of the critical challenges in the field of petroleum engineering.
Jiwen Liang   +6 more
doaj   +1 more source

Prediction of Hydrodynamic Parameters of the State of the Bottomhole Zone of Wells Using Machine Learning Methods

open access: yesGeoresursy
The relevance of the development of a methodology for the operational assessment of the bottomhole formation zone (the permeability of the bottom-hole formation zone and the skin factor) is primarily due to economic considerations, since existing ...
A. V. Soromotin   +2 more
doaj   +1 more source

Target Cell-Specific Short-Term Plasticity in Local Circuits

open access: yesFrontiers in Synaptic Neuroscience, 2013
Short-term plasticity (STP) denotes changes in synaptic strength that last up to tens of seconds. It is generally thought that STP impacts information transfer across synaptic connections and may thereby provide neurons with, for example, the ability to ...
Arne V Blackman   +5 more
doaj   +1 more source

Natural Emergence of Clusters and Bursts in Network Evolution

open access: yesPhysical Review X, 2013
Network models with preferential attachment, where new nodes are injected into the network and form links with existing nodes proportional to their current connectivity, have been well studied for some time.
James P. Bagrow, Dirk Brockmann
doaj   +1 more source

Simulation of Z(3) walls and string production via bubble nucleation in a quark-hadron transition

open access: yes, 2010
We study the dynamics of confinement-deconfinement (C-D) phase transition in the context of relativistic heavy-ion collisions within the framework of effective models for the Polyakov loop order parameter.
Gupta, Uma Shankar   +3 more
core   +1 more source

Learning by observing [PDF]

open access: yes
We introduce a network formation model based on the idea that individuals engage in production (or decide to participate in an action) depending on the similar actions of the people they observe in a society. We differentiate from the classical models of
Efe Postalci
core  

Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models

open access: yesApplied Artificial Intelligence
One of the most important fields in current materials research is the examination of materials through the prism of topological indices. An extensive statistical investigation of topological indices relevant to the characterization of copper(II) fluoride
Rongbing Huang   +5 more
doaj   +1 more source

Existence of Nash Networks in One-Way Flow Models [PDF]

open access: yes
This paper addresses the existence of Nash equilibria in one-way flow or directed network models in a number of different settings. In these models players form costly links with other players and obtain resources from them through the directed path ...
Christophe Bravard   +2 more
core  

The evolution of R&D networks [PDF]

open access: yes
This paper models the formation of R&D networks in an oligopolistic industry. In particular, it focuses on the coevolutionary process involving firms’ technological capabilities, market structure and the network of interfirm technological agreements.The ...
Zirulia,Lorenzo
core   +1 more source

Graph Transformations and Game Theory: A Generative Mechanism for Network Formation [PDF]

open access: yes, 2008
Many systems can be described in terms of networks with characteristic structural properties. To better understand the formation and the dynamics of complex networks one can develop generative models.
Cavaliere, Matteo   +2 more
core  

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