فیاضی, علی
دانشگاه ولی عصر(عج)رفسنجان
[ 1 ] - همزمان سازی سیستم های مرتبه کسری آشوبی جنسیو تسی و کولت با استفاده از کنترل کننده تطبیقی مرتبه کسری
همزمان سازی سیستم های مرتبه کسری آشوبی جنسیو تسی و کولت با استفاده از کنترل کننده تطبیقی مرتبه کسری در این مقاله یک کنترل کننده تطبیقی مرتبه کسری بر مبنای مد لغزشی برای همزمان سازی سیستم های آشوبی مرتبه کسری با پارامترهای متناسب، با دینامیک کسری پیشنهاد شده است. این کنترل کننده تطبیقی یک PID مرتبه کسری است که ضرایب آن با یک مکانیزم تطبیق مناسب تنظیم خواهند شد. با انتخاب یک سطح لغزش مناسب، ضرا...
[ 2 ] - The Diagnosis of Brucellosis in Rafsanjan City Using Deep Auto-Encoder Neural Networks
Introduction: Brucellosis is considered as one of the most important common infectious diseases between humans and animals. Considering the endemic nature of brucellosis and the existence of numerous reports of human and animal cases of brucellosis in Iran, the incidence of human brucellosis in Rafsanjan city was determined in the last 3 years (2016–2018). The main objective of this study was t...
[ 3 ] - The Diagnosis of Brucellosis in Rafsanjan City Using Deep Auto-Encoder Neural Networks
Introduction: Brucellosis is considered as one of the most important common infectious diseases between humans and animals. Considering the endemic nature of brucellosis and the existence of numerous reports of human and animal cases of brucellosis in Iran, the incidence of human brucellosis in Rafsanjan city was determined in the last 3 years (2016–2018). The main objective of this study was t...
[ 4 ] - طراحی یک سامانه سخت افزاری جهت جداسازی پسته‌های معیوب از سالم با استفاده از شبکه‌های عصبی عمیق
هدف از این مطالعه توسعه الگوریتم‌های تصویربرداری، جهت بهبود درجهبندی آجیل‌ها با نقص‌های پوسته از جمله لکه‌های چربی، لکه‌های تیره، بدنه چسبیده، نقص‌های هسته‌ای آسیب و پوسیدگی قارچی میباشد. همه این نقصها نشان‌دهنده خطر آلودگی به آفلاتوکسین هستند. شبکه‌های عصبی کانولوشن در زمینه‌های مختلف بینایی ماشین و طبقه‌بندی تصویر برجسته شده‌اند. در این پژوهش یک مدل سخت‌افزار آزمایشگاهی بر مبنای شبکه عصبی ...
[ 5 ] - Extraction of Suitable Features for Breast Cancer Detection Using Dynamic Analysis of Thermographic Images
Introduction: Thermography is a non-invasive imaging technique that can be used to diagnose breast cancer. In this study, a method was presented for the extraction of suitable features in dynamic thermographic images of breast. The extracted features can help classify thermographic images as cancerous or healthy. Method: In this descriptive-analytical study, the images were taken from the IC/UF...
[ 6 ] - Extraction of Suitable Features for Breast Cancer Detection Using Dynamic Analysis of Thermographic Images
Introduction: Thermography is a non-invasive imaging technique that can be used to diagnose breast cancer. In this study, a method was presented for the extraction of suitable features in dynamic thermographic images of breast. The extracted features can help classify thermographic images as cancerous or healthy. Method: In this descriptive-analytical study, the images were taken from the IC/UF...
[ 7 ] - Segmentation of the Left Atrial Appendage in the Echocardiographic Images of the Heart Using a Deep Neural Network
Introduction: Cardiovascular diseases are one of the leading causes of mortality in today’s industrial world. Occlusion of left atrial appendage (LAA) using the manufactured devices is a growing trend. The objective of this study was to develop a computer-aided diagnosis system for the identification of LAA in echocardiographic images. Method: The data used in this descriptive analytical study ...
[ 8 ] - Segmentation of the Left Atrial Appendage in the Echocardiographic Images of the Heart Using a Deep Neural Network
Introduction: Cardiovascular diseases are one of the leading causes of mortality in today’s industrial world. Occlusion of left atrial appendage (LAA) using the manufactured devices is a growing trend. The objective of this study was to develop a computer-aided diagnosis system for the identification of LAA in echocardiographic images. Method: The data used in this descriptive analytical study ...
Co-Authors