0% Complete
فارسی
Home
/
سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
A parallel approach to the fractional time delay model for predicting the spread of COVID-19
Authors :
Mahdi Movahedian Moghaddam
1
Kourosh Parand
2
1- shahid beheshti university
2- shahid beheshti university
Keywords :
COVID-19،Fractional calculus،Task parallelization،Predictor-corrector method
Abstract :
Due to the importance of forecast accuracy for diseases such as COVID-19, the existence of a mathematical model is particularly important. In this research, first, a model to describe the spread of the COVID-19 pandemic is examined. This model is based on a fractional ordinary differential equation. Then the predictor-corrector numerical method is presented to solve this model. Due to the computational challenge of numerically solving fractional models, a task-parallel approach with coarse granularity is presented to solve this model on shared memory systems. The initial data for testing the proposed approach is the data reported on December 31, 2019 by the Wuhan Municipal Commission of the outbreak of the COVID-19 pandemic in the city of Wuhan, China. The numerical results obtained from the proposed parallel approach show that the acceleration of the parallel method compared to the sequential method reaches 2.76 in the prediction of 1000 days.
Papers List
List of archived papers
ارائه یک مدل تصمیم گیری چند معیاره فازی به منظور بهبود دقت فرایند تصمیم گیری به هنگام اختلال هوانوردی
فاطمه عطا عبدالرزاق - نگار مجمع
Intelligent Transportation System (ITS) Using Internet of Things (IoT)
Engineer Reza Khalilian - Dr. Abdalhossein Rezai - Dr. Sayyed Mohammad Reza Talakesh
Dealing with Black-hole Attacks in Inter-vehicle Networks Using the Packet Delivery Rate Algorithm
Marzieh Sedighi - Mehdi Hamidkhani - Mostafa Sadeghi
AOV-IDS: Arithmetic Optimizer with Voting classifier for Intrusion Detection System
Amir Soltany Mahboob - Mohammad Reza Ostadi Moghaddam - Shima Yousefi
Task Scheduling for Real-time Object Detection: Methods and Performance Comparison in ADAS Applications
Mahdi Seyfipoor - Sayyed Muhammad Jaffry - Siamak Mohamadi
A No-Code Platform for Developing Customizable Recommender Systems for Restaurants
Moein-Aldin AliHosseini - MohammadReza Sharbaf
Robustness Gap in NLP Models for Vulnerability Descriptions: Benchmarking and Data Augmentation
AmirHossein Majd - Mahdi Yousefikia - Saghar Ghasemzadeh - Amirreza Asari - Arya Khoshnavataher - Seyedeh Leili Mirtaheri
Classification and Evaluation of Privacy Preserving Data Mining Methods
Negar Nasiri - Mohammadreza Keyvanpour
کشف برخط تقلب پیشنهاد ساختگی (Bid-Shielding) در مناقصه و مزایدههای الکترونیکی هلندی با رویکرد تحلیل شبکه اجتماعی
فاطمه الثلایا - دکتر سید علیرضا هاشمی گلپایگانی فاطمه الثلایا - سید علیرضا هاشمی گلپایگانی -
Generalized Self-Attentive Spatiotemporal GCN with OPTICS Clustering for Recommendation Systems
Saba Zolfaghari - Seyed Mohammad Hossein Hasheminejad
more
Samin Hamayesh - Version 42.5.2