In this presentation, you will try learn how to automatically detect COVID-19 in a hand-created X-ray image dataset using Deeplearning4j and talk about And talking about an experiment that I did using the technique of object detection to capture the Covid virus through pictures of infected cells. But it did not produce good results due to the lack of pictures of the affected cells. Meaning that the two techniques can be applied to technical assistance for health professionals In this application, we will rely on a database of positive and negative images diagnosed by the doctor Joseph Cohen’s, which has uploaded on github platform. You can view it through the link . We will rely on DL4J framework to create the neural network according to the following plan: 1-Build the neural network 2- Train the model the net 3- Save & Loading the model of our neural network 4- Test the neural network against unsigned images 1-Buildin The neural Network : At this poin
Contents 1 INTRODUCTION 2 TECHNICAL SPECIFICATIONS 3 CHANGES COMPARED TO THE PREVIOUS VERSION (V4) 4 ELECTRONIC SCHEMATIC 5 PCB BOARD DESIGN - Order now at JLCPCB 6 LIST OF ELECTRONIC COMPONENTS 7 STEPS TO UPLOAD A PROGRAM 8 EXTERNAL PARTS AND CONNECTIONS 9 LIST OF EXTERNAL TERMINALS AND ATMEGA328P-AU 10 TEST CODES 10.1 OUTPUTS 10.2 INPUTS AND OUTPUTS 10.3 ANALOG INPUTS 10.4 SERIAL PLOTER 10.5 REAL TIME CLOCK (RTC) INTRODUCTION At the beginning of this year 2020 a video of the PLC V4 was published. whose device still had to be improved, therefore, for this version 4.1, a Real Time Clock and a DC DC step down source have been integrated. PLC with arduino (ATmega328p AU) V4.1, is a programmable logic controller that was designed by Electroall, whose circuit is based on the SIEMENS S7 1200 CPU1214c PLC device with relay outputs. Initially, the current version will have a 24VDC power supply like all industrial devices. In addition, it includes a Real Time Clock (RTC). S