Name: Sheraz Hassan
Type: User
Company: Georgia Institute of Technology
Bio: PhD Candidate @ Georgia Institute of Technology | LUMS '21 | Embedded Systems, Machine Learning, and Deep Learning
Location: Atlanta, United States of America
Sheraz Hassan's Projects
This Simulink Model actively cancels an input sound
This project has both STM32CubeIDE and Keil IDE supported code sources for all the embeded sensors B-L47S5I-IOT01A Board. Data of these sensors is transfered through the inbuilt WiFi module. Refer to "README.pdf" and "Documentation.pdf" to see how to operate the board using this code.
This project has both STM32CubeIDE and Keil IDE supported coded sources for the microphone data transfer of B-L47S5I-IOT01A Board through the inbuilt WiFi module. Refer to "README.pdf" and "Documentation.pdf" to see how to operate the board using this code.
The code implements the Deep CNN model described in Salamon and Bello's paper for Environmental Sound Classification on Urbansound8k dataset
A Flutter app for course assignment
This Model analyzes and predicts the input sound and then using pretrained ANC systems cancels the input sound.
STM32F407Discovery_I2C is an STM32CubeIDE project. It includes an I2C reading code for STM32F407Discovery.
STM32H747I-DISCO_ADC is an STM32CubeIDE based project. It includes a code source for basic ADC read in STM32H747I DISCO.
STM32H747I-DISCO_I2C_SD is an STM32CubeIDE project. It takes embeded sensor readings using I2C from STM32H747I DISCO board and store all the readings in the SD card. The SD card should be inside the card slot for this code to work properly.
STM32H747I-DISCO_SDCARD is an STM32CubeIDE project. It includes a code for efficiently storing data into an SDCard for STM32H747I-DISCO board.
STM32H747I-DISCO_UART is a STM32CubeIDE project. It includes a code file for uart operation in. STM32H747I-DISCO.