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Sample Model

Raspberry Pi Pico Decision Tree Classifier

This sketch demonstrates an example of accelerometer data processing using a classification tree. The classifier code was generated using the Python script classifier_gen.py using recorded and labeled training data. The underlying classification tree was automatically generated using the Python scikit-learn library. The purpose of the classifier is to categorize a multi-dimensional data point into an integer representing membership within

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Membrane filtration system showing overall finished concept

Design, Fabrication, and Testing of a Piezoelectric Membrane Filter System

Problem Statement 1.1 Requirements and Specifications Due to the system being a completely new idea, specific requirements were not provided. It was decidedthat the following values should suffice for an efficient system. The group will strive to meet all of thefollowing quantified expectations:● Objective/Purpose: The main requirement is to effectively filter contaminants within a liquid.This

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Acknowledgement 1

Automated Frame Spacer/Pin Removal

Acknowledgement The IPFW General Motors senior design team would like to give special thanks to Dr. Zhuming Bi,and Yanfei Liu for their guidance throughout the build process. Their input was instrumental inproviding us with the right tools to make thorough design choices. We would like to thank theIPFW engineering department professors who offered their time

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Rhythmic pulsatile GnRH release profile in the present if blood glucose level

Nanoclay Crosslinked pH-Sensitive Hydrogel for Rhythmic Hormone Delivery

1.1 General Introduction Numerous endogenous hormones are known to be secreted in a pulsatile manner. Forexample, a neuroendocrine network controls reproduction and sexual development inmammals, where the release of hormones is not constant with time. An importantreproductive hormone in human puberty and reproduction, gonadotropin releasinghormone (GnRH), is released in rhythmic pulses from the hypothalamus every

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Data flow in initial design.

An Approach to Semi-Autonomous Indoor Drone System: Software Architectur and Integration Testing

INTRODUCTION An Unmanned Aerial Vehicle (UAV), commonly known as a drone, is an aircraft withouta human pilot aboard. UAVs are a component of an unmanned aircraft system (UAS); which alsoincludes a ground-based controller and a system of communications between the two (Watts et al.,2012). The commercial successes of DJI, GoPro, 3D Robotics and other drone

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Real Time DNN Inferencing

Real-Time DNN Inferencing

In this lab, you will learn how to load a Deep Neural Network (DNN) model and performinferencing operations on the Raspberry Pi 4. (Note that much of this lab is derived from the DeepPicar project, shown in the pictures above. Ifyou want to know more about the project, check https://github.com/mbechtel2/DeepPicar-v2.) Part 0: Setup the project

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