Hossein Ghayoumi zadeh

• PhDs in Biomedical Engineering
• Professor (Associate) at Vali Asr University of Rafsanjan

Introduction: Drowsy driving is a significant contributor to accidents, accounting for 35 to 45% of all crashes. Implementation of an internet of things (IoT) system capable of alerting fatigued drivers has the potential to substantially reduce road fatalities and associated issues. Often referred to as the internet of medical things (IoMT), this s...

Effective fault identification and management are critical for efficient wind turbine operation. This research presents a novel L1 adaptive-SMC system designed to enhance fault tolerance in wind turbines, specifically addressing common issues such as pump wear, hydraulic leakage, and excessive air content in the oil. By combining SMC with L1 adapti...

Atrial fibrillation, a prevalent cardiac arrhythmia, disrupts the normal path of electrical signals within the heart. To address this issue, the left atrial appendage closure is often considered. This involves using a closure instrument named the Watchman to obstruct the left atrial appendage (LAA) ostium. The wide variety of LAA shapes, sizes, and...

There scientific and therapeutic advances in perinatology and neonatology have improved the survival prospects of preterm and extremely low birth weight infants. Infants' cries are a valuable noninvasive tool for monitoring their neurologic health, especially if they are premature. An automatic acoustic analysis and data mining are employed in this...

Rising mortality rates in recent years have elevated melanoma to the ranks of the world’s most lethal cancers. Dermoscopy images (DIs) have been used in smart healthcare applications to determine medical features using deep transfer learning (DTL). DI-related lesions are widespread, have local features, and are associated with uncertainty. There ar...

Predicting and estimating the time it takes for an event of interest to occur base on available information is special assistance in how to deal with the event and handle it or provide solution to prevent the occurrence of the event. In medicine, valuable information about evaluating the types of treatments and prognosis and providing solution to h...

Introduction: Due to breast cancer's prevalence as the second leading cause of cancer death worldwide, accurate survival prediction models are crucial. This study aimed to use an optimized deep neural network to predict breast cancer patient survival. Material and Methods: The present study is an analytical study. The information utilized in this r...

The hydropower industry is one of the most important sources of clean energy. Predicting hydropower production is essential for the hydropower industry. This study introduces a hybrid deep learning model to predict hydropower production. Statistical methods are unsuitable for modeling hydropower production because their accuracy depends on seasonal...

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...

Currently, COVID-19 is circulating in crowded places as an infectious disease. COVID-19 can be prevented from spreading rapidly in crowded areas by implementing multiple strategies. The use of unmanned aerial vehicles (UAVs) as a sensing devices can be useful in detecting overcrowding events. Accordingly, in this paper, we introduce a real-time sys...

In this paper, a novel ultra-compact metamaterial unit-cell is introduced. The proposed unit-cell consists of one modified rings which has been designed based on the fractal technique and meander technique. These techniques are used to reduce the physical size of the conventional complementary split ring resonators (CSRRs). In the proposed metamate...

Air pollution is a major challenge of new civilized world, which has intensified as a result of industrialization, urbanization expansion, and rapid traffic growth and increasing anthropogenic activities. Air pollutants can cause serious toxicological impacts on human health and the environment. Therefore, knowledge of pollutant concentrations can...

This paper presents an optimum network structure based on a BBO tuned adaptive neuro-fuzzy inference system (ANFIS) to control an active suspension system (ASS). The unsupervised learning via Biogeography-Based Optimization (BBO) algorithm is used to train the ANFIS network. The optimal proportional-integral-derivative controller tuned based on the...

The main motivation of this study is development of density prediction of mixture including ionic liquid (IL) using semi-empirical and cubic equations of state (CEoS). The considered systems are contained of 51 ILs, 41 solvents and 4626 data point in the wide temperature range (278.15-348.15 K), ionic liquid mole fraction (0.0040-0.9977) and atmosp...

In this paper , an efficient optimized fractional-order fuzzy proportional-integral-derivative controller (FOFPID) based on biogeography-based optimization (BBO) method is designd for automatic generation control of a two-zone four unit hydro-thermal power system. Studies were conducted in two scenarios. In the first scenario , the simulation was c...

The COVID-19 pandemic is a severe public health hazard. Hence, proper and early diagnosis is necessary to control infection progression. We can diagnose this disease by employing a chest X-ray (CXR) screening, which is ordinarily cheaper and less harmful than a Computed Tomography scan (CT scan) and is continuously accessible in small or rustic hos...

Abstract. Background: This paper presents a method to improve medical radiography images based on the use of statistical signal moments. Method: In this paper, the image with noise is considered as a statistical signal, and the noise reduction is performed by using fractional moments. The fractional moments method, on the one hand, has a speed simi...

Introduction: Atrial fibrillation is the most common cardiac arrhythmia of clinical significance and is associated with increased risk of stroke through thrombus formation primarily in the left atrial appendage (LAA). LAA occlusion using a purpose-built device is a growing procedure. In this study, we aimed to develop a computer aided diagnostic sy...

In this paper, an efficient scheme is presented based on fractional order sliding mode control (FOSMC) method for tip position control of a single link flexible robot manipulator. The proposed control strategy is robust against the system parameters variations such as payload and viscous friction variations in the presence of the unknown Coulomb fr...

The nature and importance of user's comments in various social media systems play an important role in creating or changing people's perceptions of certain topics or popularizing them. It has now an important place in various fields, including education, sales, prediction, and so on. In this paper, Facebook social network has been considered as a c...

Breast cancer is the most commonly diagnosed cancer among women worldwide. Diagnosing breast cancer at its earliest stages increases the chance for treatment. Thermography offers a method to consider screening strategies for this type of cancer. The analysis of the breast thermography images is very effective to extract the local information which...

Aim: The purpose of this study was to investigate the crosstalk effects between adjacent pixels in a thin silicon detector with 50 um thickness. Background: There are some limitations in the applications of detectors in hadron therapy. So it is necessary to have a detector with concurrent excellent time and resolution. In this work, the GEANT4 tool...

This article presents an efficient scheme based on fractional order sliding mode control approach for precision tip position control of a single link flexible robot arm. The proposed control strategy is robust against the system parameters variations such as payload and viscous friction variations in the presence of the sinusoidal disturbance and t...

Diabetes is a disease that impairs blood flow throughout the body. In this disease, the retinal blood vessels may leak and cause retinal swelling known as edema. The person’s sight might be affected if this swelling happens in the central vision area of retina, the macula. In this paper, we proposed a classification system, including a novel combin...

Background: In this paper, a novel approach is proposed for the recognition of Persian phonemes in the Persian consonant-vowel combination (PCVC) speech dataset. Nowadays, deep neural networks (NNs) play a crucial role in classification tasks. However, the best results in speech recognition are not yet as perfect as human recognition rate. Deep le...

The aim of this study is to develop imaging algorithms to improve the grade of nuts with shell defects such as oily stains; dark stains, adhering hull, damage seed defects, and fungal decay. All these defects indicate the risk of aflatoxin contamination. Convolutional Neural Networks (CNNs) have become prominent in various fields of machine vision...

Background and Objective: 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...

چکیده زمینه و هدف: سیستم‌های تشخیص Computer-aided design به طور گسترده در تشخیص افتراقی سرطان سینه استفاده می‌شوند. بنابراین بهبود دقت یک سیستم CAD به یکی از حوزه‌های مهم تحقیقاتی تبدیل شده‌است. در این مقاله به بررسی سیستم های CAD مبتنی بر شبکه های عصبی عمیق از نوع کانولوشن در جهت تشخیص سرطان پستان در تصاویر ترموگرافی پرداخته شد. روش بررسی: برای تح...

The purpose of the present paper is improving the accuracy of existing formulas for the longitudinal dispersion coefficient (LDC) prediction based on a novel and simple meta-heuristic optimization method called Whale Optimization Algorithm (WOA). Although several existing formulas calculate LDC in the rivers based on the hydraulic and hydrodynamic...

A new topology for the design of microwave narrow band-pass filters (NBPFs) with wide out of band rejection and sharp edges, based on the use of Composite Right-Left Handed (CRLH) Transmission Line (TL) concept is presented. The proposed NBPF has been realized by using two different sections. The left-handed section is implemented by etching spiral...

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-analyti...

Pistachio nut is mainly consumed as raw, salted or roasted because of its high nutritional properties and favorable taste. Pistachio nuts with shell and kernel defects, besides not being acceptable for a consumer, are also prone to insects damage, mold decay, and aflatoxin contamination. In this research, a deep learning-based imaging algorithm was...

Abstract—Pistachio nut is mainly consumed as raw, salted or roasted because of its high nutritional properties and favorable taste. Pistachio nuts with shell and kernel defects, besides not being acceptable for a consumer, are also prone to insects damage, mold decay, and aflatoxin contamination. In this research, a deep learning-based imaging algo...

In this paper, a novel wideband bandpass filter using half-mode substrate integrated waveguide (HMSIW) structure loaded by complementary Z-shaped resonator (CZR) is proposed. The working principle of the proposed filter is based on the evanescent-mode propagation. The CZR unit-cell behave as a magnetic dipole, which is able to generate a backward-w...

Background: Breast cancer is a common malignancy in which early breast cancer detection by the help of imaging can improve the treatment outcome. Thermography utilizes infrared beams which are fast, non-invasive, and non-contact and the output created images by this technique are flexible and useful to monitor the temperature of the human body. Cas...

Varicocele is the abnormal dilation and tortuosity of venous plexus (venous) above the testicles. The pattern of abnormal heat distribution in the scrotum can be diagnosed by the help of thermal imaging. Thermal Imaging is a distant, non-contact, and non-invasive method. Thermal imaging was conducted on 50 patients who referred to the hospital 501...

چکیده زمینه و هدف: سرطان پستان یک بدخیمی رایج است که تشخیص زودهنگام مبتنی بر تصویربرداری از سرطان پستان نتیجه درمان را بهبود می¬بخشد. تصويربرداري حرارتي شيوه¬اي سریع، غیرتهاجمی، بدون تماس و انعطاف¬پذیر برای تشخیص سرطان پستان می باشد. معرفی بیمار: بیمار زن 25 ساله است که در آبان ماه 93 و تیرماه 96 جهت انجام معاینات کلینیکی به مرکز تحقیقات رادیولوژی...

This volume presents the best of the best of the First International Conference on Fundamental Research in Electrical Engineering, held at Khwarazmi University, Tehran, Iran in July, 2017. The papers were selected out of 1700 peer reviewed papers and cover whole spectrum of the main four fields of Electrical Engineering (Electronic, Telecommunicati...

Background: One common symptom of diabetes is diabetic retinopathy, if not timely diagnosed and treated, leads to blindness. Retinal image analysis has been currently adopted to diagnose retinopathy. In this study, a model of hierarchical self-organized neural networks has been presented for the detection and classification of retina in diabetic pa...

In this paper, a novel compact microstrip dual-band (DB) bandpass filter with high selectivity for wireless local area networks applications is proposed. The design procedure is based on unbalanced composite right/left-handed (UCRLH) transmission lines (TLs). The DB features can be achieved by unbalancing the CRLH transmission line. The necessary c...

چکیده زمینه و هدف: واریکوسل اتساع و پیچخوردگی غیرطبیعی شبکه وریدی (سیاهرگی) بالای بیضهها است. الگو توزیع حرارتی غیرطبیعی را میتوان در کیسه بیضه توسط تصویربرداری حرارتی تشخیص داد. تصویربرداری حرارتی روشی از راه دور، بدون تماس و غیرتهاجمی است. روش بررسی: مطالعه حاضر از نوع توصیفی تحلیلی است. با استفاده از دوربین مادون قرمز غیرتماسی SDS Hotfind Lو عکس...

Introduction: Breast cancer is the most common cancer in women. Accurate classification of breast cancer tumors has a key role in medical diagnosing. Researchers seek optimized methods to improve the tumor diagnosing. Methods: In this study, bio-geographical based optimization neural network is developed that achieve in classifying data as benign a...

زمينه و هدف: ديابت، بيماري شايعي است كه با ايجاد عوارض چشمي منجر به كاهش بينـايي و كـوري مـيگـردد. در اين پژوهش مدلي از شبكههاي عصبي خودسازمانده سلسله مراتبي در جهت تشخيص و طبقـهبنـدي ضـايعات شـبكيه )رتينوپاتي ديابتي( ارايه شد. روش بررسي: نوع مطالعه بهصورت مقطعي گذشتهنگر ميباشد كـه از دي تـا اسـفند 1394در دانشـگاه علـوم پزشـكي ارتـش انجام پذيرفت. م...

A miniaturized substrate integrated waveguide (SIW) bandpass filter using fractal open complementary split-ring resonators (FOCSRRs) unit-cell is proposed. The proposed structure is realized by etching the proposed FOCSRR unit-cells on the top metal surface of the SIW structure. The working principle of the proposed filter is based on the evanescen...

مقدمه: در حال حاضر، سرطان پستان از شایعترین بیماریهای زنان است. دستهبندی دقیق تومور سرطان پستان نقش کلیدی را در امر تشخیص پزشکی ایفا میکند. متخصصین به دنبال روشهای بهینه جهت بهبود تشخیص این تومور میباشند. روش بررسی: در این مطالعه شبکه عصبی مبتنی بر جغرافیای زیستی ارایه گردیده که با استفاده از آنالیز اجزای اصلی در مرحله آمادهسازی و بروز رسانی همزمان...

Evaluation of Thermal Imaging System of the Scrotum in Patients with Varicocele

Introduction: A varicocele is the abnormal dilation and tortuosity of venous plexus above the testicles. The pattern of abnormal heat distribution in the scrotum can be detected through thermal imaging, which is a distant, non-contact, and non-invasive method. The aim of the present study is to detect and grade varicocele. Materials and Methods: Th...

Varicocele disorder is defined as a form of abnormal dilation and tortuosity of venous plexus (venous) noticeable above the testicles. The main patterns of the level of abnormal heat distribution in the scrotum can be detected by the help of thermal imaging. It should be noted that Thermal Imaging is widely considered as a distant, non-contact, and...

Background and Objective: Varicocele is the abnormal dilatation and tortuosity of pampiniform plexus above the testicles. The distribution pattern of abnormal heat in the scrotum can be detected by thermal imaging. The thermal imaging is a remote, noncontact and noninvasive method. The purpose of the study was to investigate the correlation between...

Mammography is the most common modality for screening breast cancer. In this paper, a computer aided system is introduced to diagnose benignity and malignancy of masses. In the first step of the proposed method, masses are prepared for segmentation using a noise reduction and contrast enhancement technique. Afterward, a region of interest is segmen...

Breast cancer is the most common cancer in women and one of the leading of death among them. The high and increasing incidence of the disease and its difficult treatment specifically in advanced stages,imposes hard situations for different countries’ health systems. Body temperature is a natural criteria for the diagnosis of diseases. In recent dec...

Breast cancer is the main cause of death among young women in developing countries. The human body temperature carries critical medical information related to the overall body status. Abnormal rise in total and regional body temperature is a natural symptom in diagnosing many diseases. Thermal imaging (Thermography) utilizes infrared beams which ar...

چکیده مقدمه: دمای بدن انسان می تواند شاخصی طبیعی برای تشخیص برخی از بیماری ها باشد . تصویر برداری حرارتی (ترموگرافی) با استفاده از روش مادون قرمز شیوه ای سریع، غیرتهاجمی، بدون تماس و انعطاف پذیر برای نظارت بر درجه حرارت بدن انسان می باشد. مواد و روش ها: در این مقاله با بررسی مطالعات انجام شده در دو بازه زمانی قبل و بعد از سال 2000 و با تأکید بیشتر...

Due to the incremental application of thermal thermography in medical science, the authors have decided to compile articles that are highly applicative and informative in their book. One of the main characteristics of this book in comparison with the similar titles is in the whey that these articles have been gathered in the three fields of industr...

Background: The segmentation of cancerous areas in breast images is important for the early detection of disease. Thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. Imaging technique is the focus of this research. Methods: The proposed model in this paper is a combin...

Introduction: Body temperature is a natural criteria for the diagnosis of diseases. Thermal imaging (thermography) applies infrared method which is fast, non-invasive, non-contact and flexibile to monitor the temperature of the human body. Materials and methods: This paper investigates highly diversified studies implemented before and after the yea...

Breast cancer is one of the leading causes of death among women. Early diagnosis can increase the survival rate in cancer patients. Digital Infrared Thermal Imaging (DITI) is a portable and non-invasive diagnostic technology that is non-contact, pain-free and radiation free procedure for breast carcinoma diagnosis. However, the link between disease...

Background: Breast cancer is a common disorder in women, constituting one of the main causes of death all over the world. The purpose of this study was to determine the diagnostic value of the breast tissue diseases by the help of thermography. Materials and methods: In this paper, we applied non-contact infrared camera, INFREC R500 for evaluati...

Introduction: Body temperature is a natural criteria for the diagnosis of diseases. Thermal imaging (thermography) applies infrared method which is fast, non-invasive, non-contact and flexibile to monitor the temperature of the human body. Materials and methods: This paper investigates highly diversified studies implemented before and after the yea...

The temperature of human body is indicative of critical medical information concerning the whole body. Abnormal rise in total and regional body temperature is a natural symptom in diagnosing many types of diseases. Thermal imaging (Thermography) utilizes infrared beams, which are fast, non-invasive, and non-contact. Generally, the output images by...

Breast cancer is the main cause of death among young women in developing countries. The human body temperature carries critical medical information related to the overall body status. Abnormal rise in total and regional body temperature is a natural symptom in diagnosing many diseases. Thermal imaging (Thermography) utilizes infrared beams which ar...

In this paper, suspicious breast tumors were classified by using the neural network and the growth area method has been used for a fractionation of the benign or malignant areas of the normal tissue. Features extracted from input tissues are including statistical features and characteristics of spatial dependence. The advantage of this method is us...

تشخیص سایت های مربوط به ژورنال های جعلی

Abstract. Breast cancer is one of the most common cancers among women. Mammography is currently the most effective method for early detection of breast cancer. In this paper, a method is proposed for detecting masses in mammogram images. First, based on a specific algorithm, image is segmented and a number of the suspicious regions are obtained. Th...

Human body temperature can be a natural index in diagnosing some diseases. Thermal imaging (Thermography), which works on the basis of infrared radiations, is a fast, non-invasive, non-contact and flexible method for monitoring human body temperature. Additionally, thermal imaging can map the body surface temperature in a non-contact manner. In rec...

Breast screening is a valuable method of decreasing chances of death from breast cancer, which is the most frequent cancer in women. Several methods are currently used to screen for breast cancer. The proposed method in this paper applies artificial intelligence to detect and screen breast cancer using thermal images, in order to minimise the possi...

In this paper a new method based on pattern recognition by using artificial neural networks is presented for detection and classification of induction motor ball bearing faults. And also one set of data is used for testing network. In this method, time and frequency of domain characteristics of the vibration signal of the engine body are extracted...

Breast screening is a valuable method of decreasing chances of death from breast cancer, which is the most frequent cancer in women. Several methods are currently used to screen for breast cancer. The proposed method in this paper applies artificial intelligence to detect and screen breast cancer using thermal images, in order to minimize the possi...

Accuracy in feature extraction is an important factor in image classification and retrieval. In this paper, a breast tissue density classification and image retrieval model is introduced for breast cancer detection based on thermo graphic images. The new method of thermo graphic image analysis for automated detection of high tumor risk areas, based...

Background: Accuracy in feature extraction is an important factor in image classification and retrieval. In this paper, a breast tissue density classification and image retrieval model is introduced for breast cancer detection based on thermographic images. The new method of thermographic image analysis for automated detection of high tumor risk a...

In this paper, a multi-objective genetic algorithm is provided to help designing electronic circuits. The used optimization algorithm is an extended multi-objective genetic algorithm based on the distributed Pareto frontier, which optimizes circuit parameters in order to achieve low noise, low power and circuit stability. The circuit studied in thi...

In this work, an image analysis approach for automated detection, segmentation, and classification of particular cells, specially the cancer cells from normal cells is introduced. In this technique we can also count the number of defected cells and find their position with image processing. The results of this analysis are useable in designing a ne...

مقدمه: سرطان پستان یکی از شایع ترین سرطان ها بین بانوان می باشد. با توجه به اهمیت غربالگری سرطان پستان و نقش آن در شناسایی به موقع بیماران و همچنین کاهش هزینههای درمان، جزو اولویت های بهداشتی یک کشور قرار می گیرد.تصویربرداری حرارتی به دلیل سرعت عملکرد در تشخیص و عدم تابش پرتو مضرر می تواند در این مرحله از جایگاه ویژه ای برخوردار می باشد. موارد و رو...

Due to the importance of rolling bearings as one of the most commonly used industrial machinery elements, it is necessary to develop proper monitoring and fault diagnosis procedure to suppress malfunctioning and failure of these elements during operation. For rolling bearing fault detection, it is expected that a desired time domain analysis method...

Introduction This study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. The medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. By analyzing this information, the best diagnostic parameters a...

Introduction: This study is an effort to diagnose breast cancer by processing the quantitative and qualitative information obtained from medical infrared imaging. The medical infrared imaging is free from any harmful radiation and it is one of the best advantages of the proposed method. By analyzing this information, the best diagnostic parameters...

In this paper optical properties (refraction index, extinct index, density of state and optical conductivity) for Ca3TaGa3Si2O14 compound in trigonal phase have been computed. Ca3TaGa3Si2O14 is a new optical material which has piezoelectric properties. This crystal has four kinds of cations sites in its structure. In these four cations site, Ca2+ a...

In this paper will be focused on human behavior recognition from video images. The noises due to city electrical network and environment ingredient which cause important effects on image decline with proposed technic. In order to different states and high data rate, PCA technic and neural network will be use to increasing velocity and so recognitio...

This letter presents a low power, low noise CMOS double-balanced direct conversion mixer for ultra-wideband systems. The mixer is a critical block to perform the frequency translation in ultra-wideban d systems. The proposed mixer employs three techniques: the sub threshold operation of transistors for the radio frequency stage reduces current diss...

A new approach to pattern recognition and classification of non-stationary power signal is presented in this paper. In the proposed work visual localization and detection of non-stationary power signals are achieved using Image processing and its pattern is recognized and classified by MLP neural network algorithm. Also disturbance localization and...

In this paper we proceed breast cancer detection through thermal indicators at infrared images to be taken from the patient. The work is notably important according to non application of harmful radiations where are used to produce mammography images for instance. In this method it has been tried to provide people in general, easy detection of brea...