0% Complete
English
صفحه اصلی
/
سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Non-Linear Control of Cancer Model, Considering the Drug Resistance Using Feedback Based Chemotherapy Approach
نویسندگان :
Danial Kiaei
1
Hami Tourajizadeh
2
1- دانشگاه خوارزمی
2- دانشگاه خوارزمی
کلمات کلیدی :
cancer model،mutation rate،drug resistance،cancer control،feedback linearization
چکیده :
In this paper a nonlinear controller is designed and implemented on the dynamic of the cancer model in which the mutation phenomenon is considered. Since, one of the most important challenges of the traditional treatments of the cancer is drug resistance, dynamic model of the cancer with mutation rate is considered in this article for design and implementation of a proper controller. Moreover, existence of mutation, neutralizes the positive effect of the conventional open loop treatment algorithms. For this illness condition, using feedback based control results in a faster and more stable cure of the patients. As a result Feedback Linearization (FL) strategy is opted here to determine the required feedback based dosage of the controlling input of the chemotherapy drug. It is shown that using the proposed controller, can extremely increase the efficiency of the cancer treatment and avoid the overshoot the proliferation of the cancer cells’ during the treatment.
لیست مقالات
لیست مقالات بایگانی شده
پیاده سازی موازی یک طرح (t,n)-تسهیم چند تصویر با استفاده از GPU
سعیده کبیری راد
مکانیابی خطاهای کاربردها و خدمات نرمافزاری با کمک تولید داده آزمون با نامتغیرهای محتمل
محمد نصرتی مقدم - حسن حقیقی - مجتبی وحیدی اصل
IoT-Driven Water Quality Management System using Deep Q-Network
Shakiba Rajabi - Komeil Moghaddasi
An integrated approach for estimating software cost estimation using Adaptive Neuro-Fuzzy Inference System and the Grey Wolf Optimization algorithm
Maryam Karimi - Taghi Javdani Gandomani - Mahdi Mosleh
پیشبینی بازار فارکس با استفاده از نمودار شمعی و شبکهی عصبی GRU
محمدرضا نوروزی - مریم مومنی
LLM-Driven Feature Extraction for Stock Market Prediction: A case study of Tehran Stock Exchange
Siavash Hosseinpour Saffarian - Saman Haratizadeh
Using Trust Statements and Ratings by GraphSAGE to Alleviate Cold Start in Recommender Systems
Seyedeh Niusha Motevallian - Dr Seyed Mohammad Hossein Hasheminejad
Ensemble Model Based on an Improved Convolutional Neural Network with a Domain-agnostic Data Augmentation Technique
Faraz Fatahnaie - Armin Azhdehnia - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
Embedding-Consistent Contrastive Learning: A Robust Approach for Imbalanced Classification
Sobhan Siamak - Eghbal Mansoori
Epileptic Seizure Detection based on Statistical and Wavelet Features and Siamese Network
Zahra Hossein-Nejad - Mehdi Nasri
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0