0% Complete
صفحه اصلی
/
هشتمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون
Forecasting the Condition Severity of COVID-19 in Terms of Prevalence in Iran
نویسندگان :
Morteza Hajji
1
Ahmad Ali Rafiee
2
Ali Akbar Safavi
3
Mahmoud Farhang
4
1- دانشگاه شیراز
2- دانشگاه شیراز
3- دانشگاه شیراز
4- دانشگاه شیراز
کلمات کلیدی :
Classification, COVID-19، Deep Learning، Iran COVID-19 Statistics، Machine Learning
چکیده :
Since the advent of the Coronavirus disease 2019 (COVID-19) pandemic, one of the most significant attempts toward coping with this disease was predicting the severity condition of this pandemic in terms of prevalence. In this way, the authorities can make better and more informative decisions. Machine Learning has great potential to solve such data-driven problems. In this article, the issue of predicting the future COVID-19 prevalence severity as a classification task has been investigated. We employed four state-of-the-art predictive models, Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Self-Attention mechanism, in order to predict the COVID-19 prevalence severity in Iran using the gathered dataset by Johns Hopkins University. The main challenge we have faced was data scarcity because of the limited duration of the pandemic. Besides, as we are considering a classification task, data imbalance was an issue due to imposing a conventional criterion to divide each day into three classes regarding the state of severity. The final results suggest that although the performance of all models was acceptable, Self-Attention with an accuracy of 95% was the superb architecture to deal with this classification task.
لیست مقالات
لیست مقالات بایگانی شده
A New Fuzzy Logic Based Learning Rate Scheduling Method for Crop Classification With Convolutional Neural Network
Mohammad Hoseinzadeh - Javad Khoramdel - Yasamin Borhani - Esmaeil Najafi
Average onsensus of heterogeneous discrete-time linear multi-agent systems with balanced directed networks
Mohammad Hadi Rezaei - Ali Abooee
H∞ Robust Control Design for Three-Element Industrial Boiler Supervisory System
Narges Ahooghalandari - Reza Shadi - Ahmad Fakharian
Rejection of Sinusoidal Disturbance of Unknown Frequency in Linear Systems with Unknown Input Delay
ٍٍEhsan Shahmoradi - Mohsen Mojiri
Adaptive Controller for Swash Mass Helicopter based on Reinforcement Learning Algorithm
Tahereh Bagheri Rouch - Davood Allahverdy - Ahmad Fakharian
بررسی تکنیک های کنترل امن به منظور شناسایی حملات سایبری در سیستم های فیزیکی سایبری
مریم عمادی - لادن صادقی خرمی - علی اکبر صفوی
بکارگیری تکنیک کنترل بهینه جهت طراحی مسیر حرکت بر خط برای هدایت خودرو خودران الکتریکی
محمد امین قماشی - رضا کاظمی
Tracking Blood Glucose Concentration of Type 1 Diabetic Patients Using Reinforcement Learning
Peyman Vafadoost Sabzevar - Hamid Sadrian - Ahmad Hajipour
مطالعه کنترلپذیری فرآیند جداسازی مخلوط سه جزیی تتراهیدروفوران-متانول-آب به روشهای تقطیر استخراجی متداول و یکپارچه سازی حرارتی
رضا اسلاملوئیان - ساغر معتمدی
UAV Lateral Near-optimal Control Based on Model Reduction
Saman Zaker - Hassan Zarabadipour
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.2.8