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model implementing » model implemented (Expand Search), model implementation (Expand Search), model representing (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
model implementing » model implemented (Expand Search), model implementation (Expand Search), model representing (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
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Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model.
Published 2025Subjects: -
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Steering system model.
Published 2025“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”
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Braking system model.
Published 2025“…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”
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Five Operator Lattice Simulation
Published 2025“…<p dir="ltr">This dataset contains the Python simulation code and supporting documentation for the paper <i>A Five-Operator Lattice of Consciousness: A Logical Framework for Mediation Between Implicit and Explicit Processing</i> (McDaniel, 2025).…”
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Code
Published 2025“…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”
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code implementing the finite element method and finite difference method from Hybrid PDE-ODE Models for Efficient Simulation of Infection Spread in Epidemiology
Published 2025“…This dataset contains code implementing the finite element method based on Kaskade 7 (C++) and code implementing the finite difference method (Python) for the development of hybrid PDE-ODE models aimed at efficiently simulating infection spread in epidemiology. …”
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Advancing Solar Magnetic Field Modeling
Published 2025“…<br><br>We developed a significantly faster Python code built upon a functional optimization framework previously proposed and implemented by our team. …”
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BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
Published 2025“…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …”
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BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
Published 2025“…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …”
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BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
Published 2025“…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …”
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Comparison of tools with features similar to <i>bmdrc,</i> and a descriptions of the modules within the <i>bmdrc</i> package.
Published 2025“…The smaller boxes within the larger boxes represent individual functions within the <i><i>bmdrc</i></i> Python library.…”