کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

صفحه اصلی / هشتمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

COVID-19 Detection in Cough Audio Dataset Using Deep Learning Model

نویسندگان :

Marziyeh Sabet¹ Seyedeh Maryam Ghasemi² Amin Ramezani³

1- دانشگاه تربیت مدرس 2- دانشگاه تهران 3- دانشگاه تربیت مدرس

کلمات کلیدی :

CNN, COVID-19, Deep Learning, Cough Sounds

چکیده :

Using Deep Learning methods might be a proper answer to the need of the world for a fast, automatic solution for COVID-19 early-stage diagnosis. In this article, we try to take advantage of Convolutional Neural Network (CNN) systems for this purpose. Our proposed model is based on a CNN network and is trained based on COUGHVID dataset. By implementing feature extraction using MFCC and using data augmentation methods, we tried to develop a fully functional model. The results show that we had improvements compared to other state of the art projects. Based on the metrics we used, we achieved an area under the curve of the receiver operating characteristics of 0.94 on the task of COVID-19 classification.

لیست مقالات

لیست مقالات بایگانی شده

Controller Education: Learning with the Help of Control Characters

Amirhosein Mansouri - Roghayeh Gavagsaz-Ghoachani - Matheepot Phattanasak

A new robust control for mobile robots with differential wheels:output- and state- dependent Riccati equation approach

Neda Nasiri - Ahmad Fakharian - Mohammad Bagher Menhaj

Using Deep Learning Network for Fault Detection in UAV

Armin Mahdi Erfanian - Amin Ramezani

بررسی روش های ترکیبی تشخیص و شناسایی عیب مبتنی بر SDG ، نمودار کنترل و مولد باقیمانده در سیستم های کنترلی

امیررضا مرزبند - جواد پشتان

The Effect of Observer Position on Networked Control Systems with Random Transmission Delays and Packet Dropouts

Elaheh Mohammadi-Asl - Farzad Hashemzadeh - Mahdi Baradarannia - Peyman Bagheri

Whale Optimization Algorithms based Fractional Order Fuzzy PID Controller for Depth of Anesthesia

Amirsaeid Safari - Kosar Safari - Mohammad Manthouri

Machine Learning-Based Prediction of Coronary Heart Disease

Badrosadat Nategholeslam Shirazi - Shiva Naghsh - Ali Akbar Safavi - Amir Sharafkhaneh

A Novel Controller Design of Underwater Fish-Like Micro Mobile Robot with PZT Actuator

Alireza Ahangarani Farahani - Seyed Majid Hosseini

مطالعه کنترل‌پذیری فرآیند جداسازی مخلوط سه جزیی تتراهیدروفوران-متانول-آب به روش‌های تقطیر استخراجی متداول و یکپارچه‌ سازی حرارتی

رضا اسلاملوئیان - ساغر معتمدی

Enhancing Resiliency in Standalone Microgrid Control System Using Consensus Algorithm Integrated with Multivariable Filter

Mojtaba Ahmadi - Mohammad Hossein Mousavi - Hassan Moradi

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.2.8