Search alternatives:
modular implementation » model implementation (Expand Search), world implementation (Expand Search)
low predicted » low prediction (Expand Search), _ predicted (Expand Search), vs predicted (Expand Search)
modular implementation » model implementation (Expand Search), world implementation (Expand Search)
low predicted » low prediction (Expand Search), _ predicted (Expand Search), vs predicted (Expand Search)
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EthoPy: Reproducible Behavioral Neuroscience Made Simple
Published 2025“…To overcome these challenges, we developed EthoPy, an open-source, Python-based behavioral control framework that integrates stimulus presentation, hardware management, and data logging. …”
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System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool
Published 2024“…</li><li><b>Cross-Platform Compatibility</b>: Designed with cross-platform functionality in mind, the script works seamlessly on Windows, macOS, Linux, Unix, and other operating systems where Python 3.6 or higher is installed.</li><li><b>Modular Design</b>: The script can be used as a standalone tool or imported as a module into other Python projects, enabling developers to easily integrate hardware identification into their applications.…”
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Main parameters of braking system.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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EMB and SBW system structure.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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Raw data.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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Reward function related parameters.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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Code program.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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The HIL simulation data flowchart.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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Steering system model.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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Hyperparameter Configurations in PPO Training.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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Main parameters of steering system.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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Co-simulation architecture.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”
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Overall framework diagram of the study.
Published 2025“…Training is conducted via an Amesim-CarSim-Python co-simulation platform for emergency braking scenarios on split-μ roads, low-adhesion surfaces, and curved roads. …”