Search Results - network (models OR model)

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    Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

    Published in ArXiv cs.ET Recent Papers (2026)
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    Artificial neural network model for prediction of friction factor in pipe flow

    Published 2009
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    Modeling of solar energy potential in Africa using an artificial neural network

    Published 2010
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    Electrical resistivity measurements of downscaled homogenous rocks for network model validation

    Published 2011-06
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    Modeling wave scattering in impedance-lined duct networks with expansion chambers

    Published in PLOS ONE (2026)
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    Accelerating Atmosphere Modeling: Neural Network Enhancements for Faster NRLMSISE Calculations

    Published in Artificial Satellites (2025)
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    Construction of music emotion recognition and classification model supported by neural networks

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    Parameterized Model-checking of Discrete-Timed Networks and Symmetric-Broadcast Systems

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    A Formal Model for Polarization under Confirmation Bias in Social Networks

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    Pop2net: Bipartite network generation for agent-based modeling

    Published in Journal of Open Source Software (2026)
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    A Reliable Stream Learning Model for Network Intrusion Detection Systems

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    Control modelling of coupled shell and tube heat exchangers using combined neural network and fuzzy logic

    Published 2022
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    A comparison of the predictive capabilities of artificial neural networks and regression models for knowledge discovery

    Published 2013
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    An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

    Published in JMLR (2026)
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    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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    An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

    Published in JMLR (2026)
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    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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    An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

    Published in JMLR (2026)
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    DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

    Published in JMLR (2026)
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    An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

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