A Novel Reference Model for Intelligent and Comfortable Longitudinal Vehicle Control: Theory, Optimization, and Validation

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Generating a Contact Matrix for Aged Care Settings in Australia: An Agent-Based Model Study

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The impact of the number representation format in parameterized text queries on the accuracy of 3D model generation

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Methodology for validation of analytical models of two-phase flows in supersonic nozzles using CFD simulation

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Automating requirements traceability in project documentation using TraceTrend tool: model, design and application

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Definition and computation of a flutter safety margin for quadcopters by chained 2-DOF aeroelastic models

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Physics-Informed Data-Driven Determination of Printability Maps of Industrial Alloys for Laser Powder Bed Fusion Process with Understandings from Numerical Modeling

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Decision models of a closed-loop supply chain with competitive dual-channel collection considering the reference price effect: ecological and economic perspective

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h-NUMO: A high-performance discontinuous-Galerkin code for hydrostatic ocean modelling

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Effective Medium Modeling of Anisotropic Perforated Composites: Electromagnetic Equivalence of Elliptical and Capsule Structure

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Evaluation of Estimation Methods for Simultaneous Equations Models Across Varying Levels of Data Variability

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Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks

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

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Generalized multi-view model: Adaptive density estimation under low-rank constraints

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Optimal subsampling for high-dimensional partially linear models via machine learning methods

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Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters

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DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning

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

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Generalized multi-view model: Adaptive density estimation under low-rank constraints

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Optimal subsampling for high-dimensional partially linear models via machine learning methods

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