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model implementing » model implemented (Expand Search), model implementation (Expand Search), model representing (Expand Search)
code representing » model representing (Expand Search), models representing (Expand Search), tpd representing (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
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ZILLNB_Model
Published 2025“…<p dir="ltr">Acquire latent variables using deep-learning based model implemented in python</p>…”
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Schematic of the approach: This schematic illustrates the entire workflow of the project.
Published 2025Subjects: -
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Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model.
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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. …”