Titlebook: Embedded Machine Learning with Microcontrollers; Applications on STM3 Cem ünsalan,Berkan H?ke,Eren Atmaca Textbook 2025 The Editor(s) (if a

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Clustering, Afterward, we will introduce methods to deploy the formed clustering algorithm to the STM32 microcontroller. As end of chapter applications, we will provide solution to two real-life problems via clustering as fall detection and image quantization.

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Interdict

https://doi.org/10.1007/978-981-10-5436-5ller. As end of the chapter applications, we will form classifiers for the accelerometer data, audio signals, and digital images. We will benefit from the extracted features in Chap. 5 for this purpose.

Obstruction

Intelligent Human — Machine Systemsg and storing neural network models under TensorFlow as the second end of chapter application. Finally, we will evaluate converting neural network models from other platforms to TensorFlow format as the third end of chapter application.

Kinetic

Francesco Amigoni,Viola Schiaffonati the usage examples of recurrence models on PC. Afterward, we will consider implementing recurrence models on the STM32 microcontroller. Finally, we will provide examples on the usage of recurrence based models to solve real-life problems.

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Hardware to Be Used in the Book,ard and its processing unit (as microcontroller) in this chapter. Afterward, we will introduce the sensors to be used throughout the book. As all the hardware is introduced, we will be ready to use them in practical machine learning applications in solving real-life problems.

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