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Album: Public (Denise SANFILIPPO)

by Denise SANFILIPPO
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Figure 1: The boards NUCLEO-U385RG-Q and X-NUCLEO-IKS5A1
Figure 2: The four steps of the presented hands-on
Figure 3: The machine learning core (MLC) embedded inside ISM6HG256X
Figure 4: Firmware settings - Target
Figure 5: MEMS Studio - AlgoBuilder - Sensor Hub (properties)
Figure 6: MEMS Studio - AlgoBuilder - Blocks
Figure 7: MEMS Studio - AlgoBuilder Evaluation
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Figure 9: MEMS Studio - Advanced Features - MLC - Data patterns
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Figure 11: MEMS Studio - Advanced Features - MLC - Decision tree generation
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Figure 13: MLC results, filters and features can be stored in the FIFO
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Figure 16: MEMS Studio - AlgoBuilder Evaluation - The package is still
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Figure 18: MEMS Studio - AlgoBuilder Evaluation - The package is moving
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Figure 23:  The MCU stop block appears inside the MCU library
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Figure 27: Import the project inside STM32CubeIDE
Figure 28: Select root directory to your STM32U3 firmware location
Figure 29: Select the build configuration you want to use
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Figure 1: The boards NUCLEO-U385RG-Q and X-NUCLEO-IKS5A1
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Added ‎2025-11-12 2:50 AM
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Figure 1: The boards NUCLEO-U385RG-Q and X-NUCLEO-IKS5A1
Posted in: Creating a smart asset tracking application with ISM6HG256X and STM32U3  - ( ‎2025-11-20 7:00 AM )

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