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Exponential Random Graphs: mean-field approximations and limit theorems [PDF]
, 2022 reservedThis thesis deals with a class of Random Graphs (RGs), the Exponential Random Graph model (ERGM). RGs can reproduce emergent connectivity properties of real world networks such as social networks, populations, molecular systems, neural networks.
PASSUELLO, GIACOMO
core
Random-field-induced order in a bosonic t-J model
New Journal of Physics, 2014 In this paper, we study the effect of a random quenched external field for spin order and also multiple Bose–Einstein condensation (BEC). This system is realized by the cold atomic gases in an optical lattice.
Yoshihito Kuno +2 more
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Stochastic constitutive model of structural steel based on random field of corrosion depth
Case Studies in Construction Materials, 2022 In this study, a new method based on the random field model (RFM) of corrosion depth was developed to investigate the effect of corrosion randomness on the constitutive relationship of steel.
Youde Wang +4 more
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A Deep-Structured Fully Connected Random Field Model for Structured Inference
IEEE Access, 2015 There has been significant interest in the use of fully connected graphical models and deep-structured graphical models for the purpose of structured inference.
Alexander Wong +3 more
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Study of Quasi-Static Magnetization with the Random-Field Ising Model
Algorithms, 2020 The topic of this paper is modeling based on Hamiltonian spin interactions. Preliminary studies on the identification of quasi-static magnetizing field in a magnetic system were presented.
Roman Gozdur
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Simple Assumptions to Improve Markov Illuminance and Reflectance
Frontiers in Psychology, 2022 Murray recently introduced a novel computational lightness model, Markov illuminance and reflectance (MIR). MIR is a promising new approach that simulates human lightness processing using a conditional random field (CRF) where natural-scene statistics of
Yuki Kobayashi +2 more
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Microcanonical Analysis of the Random Energy Model in a Random Magnetic Field [PDF]
Journal of Statistical Physics, 2014 15 ...
Arguin, Louis-Pierre, Kistler, Nicola
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MULTI-SOURCE MULTI-SCALE HIERARCHICAL CONDITIONAL RANDOM FIELD MODEL FOR REMOTE SENSING IMAGE CLASSIFICATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Fusion of remote sensing images and LiDAR data provides complimentary information for the remote sensing applications, such as object classification and recognition.
Z. Zhang, M. Y. Yang, M. Zhou
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BuildingsEarly-age cracking remains a major durability challenge for concrete. It is primarily caused by internal restraint stresses induced by humidity and temperature gradients during hydration.
Zhaohui Chen +5 more
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On adaptive refinements in discrete probabilistic fracture models [PDF]
Fracture and Structural Integrity, 2017 The possibility to adaptively change discretization density is a well acknowledged and used feature of many continuum models. It is employed to save computational time and increase solution accuracy.
J. Eliáš
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