Mohammed A. Fadhel

Mohammed A. Fadhel
University of Sumer · Department of Computer Information Systems

MSc of Computer Eng.
Head, Department of Computer Information Systems

About

69
Publications
43,708
Reads
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1,712
Citations
Citations since 2017
68 Research Items
1712 Citations
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201720182019202020212022202302004006008001,000
201720182019202020212022202302004006008001,000
Introduction
Mohammed A. Fadhel works at the University of Sumer. He gets MSc. from University of Technology/Control and Systems Eng., Baghdad, IRAQ 2015. Mohammed's interests in FPGA, medical diagnosis techniques, and real-time systems, artificial intelligence.
Additional affiliations
February 2016 - December 2019
University of Information Technology and Communication
Position
  • Lecturer
Education
September 2006 - February 2015
University of Technology, Iraq
Field of study
  • Computer Engineering

Publications

Publications (69)
Article
Full-text available
Deep learning is currently playing an important role in image analysis and classification. Diseases in maize diminish productivity, which is a major cause of economic damages in the agricultural business throughout the world. Researchers have previously utilized hand-crafted characteristics to classify images and identify leaf illnesses in Maize pl...
Article
Full-text available
Nowadays, several advanced control systems are developed to assist drivers and enhance vehicle comfort and safety. Among these sophisticated systems technologies, the tire-condition and its status predictors showed significant progress. In this paper, a neural network model to detect tire wear for motorsport vehicles is implemented. The system used...
Article
Full-text available
Nowadays, several advanced control systems are developed to assist drivers and enhance vehicle comfort and safety. Among these sophisticated systems technologies, the tire-condition and its status predictors showed significant progress. In this paper, a neural network model to detect tire wear for motorsport vehicles is implemented. The system used...
Data
These data are collected form https://www.scopus.com/sources.uri?zone=TopNavBar&origin=searchauthorfreelookup#
Article
Full-text available
Nowadays medical imaging plays a vital role in diagnosing the various types of diseases among patients across the healthcare system. Robust and accurate analysis of medical data is crucial to achieving a successful diagnosis from physicians. Traditional diagnostic methods are highly time-consuming and prone to handmade errors. Cost is reduced and p...
Article
Full-text available
In the last decade, there has been a surge of interest in addressing complex Computer Vision (CV) problems in the field of face recognition (FR). In particular, one of the most difficult ones is based on the accurate determination of the ethnicity of mankind. In this regard, a new clas‐ sification method using Machine Learning (ML) tools is propose...
Article
Full-text available
The last decade has witnessed the rise of the proliferation of Internet-enabled devices. The Internet of Things (IoT) is becoming ever more pervasive in everyday life, connecting an ever-greater array of diverse physical objects. The key vision of the IoT is to bring a massive number of smart devices together in integrated and interconnected hetero...
Article
Full-text available
Diabetes is a chronic disease that can affect human health negatively when the glucose levels in the blood are elevated over the creatin range called hyperglycemia. The current devices for continuous glucose monitoring (CGM) supervise the glucose level in the blood and alert user to the type-1 Diabetes class once a certain critical level is surpass...
Article
Full-text available
Diseases of human nails are a kind of deformities in nails. Nail has its own various class of diseases, which have their own set of symptoms, signs, causes and effects that may or may not impute to other medical conditions. In this study, four types of nail diseases have been addressed, represented by healthy nail, nail hyperpigmentation, nail club...
Preprint
Full-text available
Deep Learning (DL) requires a large amount of training data to provide quality outcomes. However, the field of medical imaging suffers from the lack of sufficient data for properly training DL models because medical images require manual labelling carried out by clinical experts thus the process is time-consuming, expensive, and error-prone. Recent...
Data
تم حصول البيانات من الموقع الرسمي لمستوعب سكوباس https://www.elsevier.com/solutions/scopus/how-scopus-works/content?dgcid=RN_AGCM_Sourced_300005030
Article
Full-text available
Transfer learning (TL) has been widely utilized to address the lack of training data for deep learning models. Specifically, one of the most popular uses of TL has been for the pre-trained models of the ImageNet dataset. Nevertheless, although these pre-trained models have shown an effective performance in several domains of application, those mode...
Data
This dataset has images of diabetic foot ulcers (DFU) for the purpose of classification --------------- It consists of four folders 1- Original Images: these are collected from the medical center 2- Patches: extracted from the Original Images in the size of 224 x 224. TestSet: images to test the trained model Transfer-Learning image: These ar...
Article
Full-text available
In this paper, we present a comparison of four proposed hybrid deep convolutional neural network models for diabetic foot ulcer (DFU) classification to discriminate between abnormal (DFU) and normal (healthy skin) classes. Increasing the depth in single branch deep convolutional neural networks does not always significantly contribute to their over...
Chapter
Full-text available
During the last few years, many attempts were accomplished in the field of human sound and speech processing aiming to build speakers identification systems. The basic views of these systems were different, but the accuracy of the final computer process result for the identification depended on varieties of factors. For the intent of human sound ex...
Chapter
Classification of dates in an orchard environment is a challenging task due to various texture, color, shape, and size properties. Moreover, the date has various data types that have almost the same appearance and makes classification much more difficult. To overcome these limitations, deep learning offers effective models that automatically extrac...
Chapter
The past decade has shown considerable growth in the field of deep learning techniques, changing the context of several areas of research. In medicine, deep learning techniques have achieved encouraging results with additional precision in the processing of various image datasets, such as brain MRI, chest X-ray, and retinal imaging. For example, ma...
Chapter
The Internet of Things (IoT) has a huge influence on the modern world and how the Internet communicates with it. In order to allow IoT networks, the wireless sensor network (WSN) is a promising wireless communication system. These networks, however, have limited energy (battery) resources and energy savings in these networks have become a pressing...
Chapter
Full-text available
For recognizing vegetable and fruit maturing, various techniques have been released in the last two decades. These techniques have different accuracies and are generally time consuming. To speed up the recognition performance to be suitable for real-time basis, a hardware accelerator is needed to implement. This paper introduced a field programmabl...
Chapter
Full-text available
Among the solid components of the human blood, the type that has the largest number of them is well known as red blood cells (RBCs). These cells have flat-round shapes, where their centers are depressed like a doughnut missing its hole. When the cell shape is changed from circular to sickle, then this case is a blood disease named sickle cell anemi...
Article
Full-text available
The brain tumor, the most common and aggressive disease, leads to a very shorter lifespan. Thus, planning treatments is a crucial step in improving a patient's quality of life. In general, several image techniques such as CT, MRI, and ultrasound have been used for assessing tumors in the prostate, breast, lung and brain. Primarily, MRI images are a...
Article
Full-text available
In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in the field of ML, thus achieving outstanding results on several complex cognitive tasks, matching or even beating those provided by...
Article
Full-text available
Citation: Alzubaidi, L.; Al-Amidie, M.; Al-Asadi, A.; Humaidi, A.J.; Al-Shamma, O.; Fadhel, M.A.; Zhang, J.; Santamaría, J.; Duan, Y. Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data. Cancers 2021, 13, 1590.
Article
Full-text available
The spectrum has increasingly become occupied by various wireless technologies. For this reason, the spectrum has become a scarce resource. In prior work, the authors have addressed the spectrum sensing problem by using multi-input and multi-output (MIMO) in cognitive radio systems. We considered the detection and estimation framework for MIMO cogn...
Chapter
Full-text available
Fruits classification is a challenging task due to the several types of fruits. To classify fruits more effectively, we propose a new deep convolutional neural network model to classify 118 fruits classes. The proposed model combines two aspects of convolutional neural networks, which are traditional and parallel convolutional layers. The parallel...
Chapter
Full-text available
With increasing popularity holographic method, 3D scene and augmented reality, needless to say, that 3D holography would be playing the most important role of real-time recording display. This paper demonstrates a setup that shows and records the scene in a real-time 3D appearance. We speed up the holographic processing by using a hardware accelera...
Chapter
Full-text available
In spite of, several mathematical approaches of the Lorenz solver system have been declared, fast and effective approaches has always been the direction in which scientists are trying to achieve. Based on this challenge, this paper initiates to boost the processing of Lorenz ordinary differential equations (ODE) system by applied hardware accelerat...
Conference Paper
Full-text available
Classification of dates in an orchard environment is a challenging task due to various texture, color, shape, and size properties. Moreover, the date has various data types that have almost the same appearance and makes classi-fication much more difficult. To overcome these limitations, deep learning of-fers effective models that automatically extr...
Technical Report
Full-text available
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Chapter
Full-text available
Sickle cell anemia (SCA) is a blood disease, which causes distortion in the shape of Red Blood Cells (RBCs) and becomes like a crescent. Traditional methodologies of classifying and counting RBCs that have been used by medical analysts are time-consuming, as well as, cost-effective. In addition, it is possible to make errors throughout the classify...
Article
Full-text available
Internet of Things (IoT) devices are spread in different areas such as e-tracking, e-commerce, e-home, and e-health, etc. Thus, during the last ten years, the internet of things technology (IoT) has been a research focus. Both privacy and security are the key concerns for the applications of IoT, and still face a huge number of challenges. There ar...
Article
Full-text available
Abstract: One of the main challenges of employing deep learning models in the field of medicine is a lack of training data due to difficulty in collecting and labeling data, which needs to be performed by experts. To overcome this drawback, transfer learning (TL) has been utilized to solve several medical imaging tasks using pre-trained state-of-th...
Presentation
Full-text available
Certificate of Participation at Kuala Lumpur, Malaysia More details follow youtube link: https://www.youtube.com/watch?v=oYFuQvi40AE
Presentation
Full-text available
جامعة سومر كلية علوم الحاسوب و تكنولوجيا المعلومات
Presentation
Full-text available
جامعة سومر - كلية علوم الحاسوب و تكنولوجيا المعلومات
Presentation
Full-text available
Sumer University - Computer Sciences and information technology
Article
Full-text available
Diabetic Foot Ulcer (DFU) is the main complication of Diabetes, which, if not properly treated, may lead to amputation. One of the approaches of DFU treatment depends on the attentiveness of clinicians and patients. This treatment approach has drawbacks such as the high cost of the diagnosis as well as the length of treatment. Although this approac...
Article
Full-text available
Several detecting algorithms are developed for real-time surveillance systems in smart cities. The most popular algorithms due to its accuracy are Temporal Differencing, Background Subtraction, and Gaussian Mixture Models. Selecting of which algorithm is the best to be used, based on accuracy, is a good choice, but is not the best. Statistical accu...
Article
Full-text available
Breast cancer is a significant factor in female mortality. An early cancer diagnosis leads to a reduction in the breast cancer death rate. With the help of a computer-aided diagnosis system, the efficiency increased, and the cost was reduced for the cancer diagnosis. Traditional breast cancer classification techniques are based on handcrafted featu...
Article
Full-text available
Sickle cell anemia, which is also called sickle cell disease (SCD), is a hematological disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death. The key function of red blood cells (erythrocytes) is to supply all the parts of the human body with oxygen. Red blood cells (RBCs) form a crescent or sickle shape when s...
Chapter
Convolutional Neural Network (CNN) has been extensively used for image recognition due to its great accuracy. This accuracy is achieved through emulating the optic nerves behavior in living human beings. The speedy progress of the current applications derived from deep learning algorithms has extra enhanced research and developments. More specifica...
Chapter
Full-text available
Phono-Cardio-Gram (PCG) is an effective technique of detecting various heart abnormalities and malfunctions. Several PCG segmentation algorithms, each with its advantages and disadvantages, have been developed and tested. Unfortunately, most of these algorithms fail to diagnose heart conditions in real time. This paper introduces a real-time method...
Chapter
Full-text available
Red Blood Corpuscles (RBCs) form the main cellular component of human blood. RBCs in common physiological status has a circular form in the front view and bi-concave form in side view. In case of a person is infected with anemia RBCs form as sickle-shaped cells which drive to blood vessel obstruction joined by painful episodes and even death. Preci...
Chapter
Sickle cell anemia is an abnormal red blood cell which leads to blood vessel obstruction joined by painful episodes and even death. It is also called abnormal hemoglobin. Hemoglobin is responsible for passing oxygen through the blood vessel for all over the body. Normal red blood cells are in a circular shape and they are compact and flexible, enab...
Article
Full-text available
Recently, several techniques have been developed for vegetable and fruit maturing recognition. Adding hardware designs will enhance the recognition performance. Especially, parallel processing designs efficiently speed up the process functions. This paper utilizes a hardware parallel processing design called field programmable gate array for that p...
Article
Full-text available
Red blood cells represent the greatest amount of solid blood components. They have a flat round shape with a depressed center, similar to a doughnut in that they lack a hole. A blood disease, called Sickle Cell Anemia, changes the shape of red blood cells from normal to sickle-shaped. Further, the number of normal/abnormal red blood cells is extrem...
Conference Paper
In this paper, multi-classifier of K-Nearest Neighbor and Support Vector Machine (SVM) classifiers with multi-domain features are employed, as a proposed methodology for recognizing the normality status of the heart sound recordings (so-called Phonocardiogram - PCG). The PhysioNet/CinC Challenge 2016 offers the dataset used in this paper. Heart sou...
Conference Paper
One of the main reasons for death among women is breast cancer. The traditional diagnosis process of breast cancer is time-consuming and expensive. Also, an early cancer diagnosis may reduce the breast cancer death rate. With the help of computer-aided diagnosis system, the efficiency increased and the cost is reduced of the cancer diagnosis. Tradi...
Article
Full-text available
It is important to improve the performance of images matching, so that, many algorithms have been studied to achieve this goal. However, finding best one is still a very interested field of study because the performance of matching is a wide term containing many factors like rotating invariant, scaling invariant, noise invariant, and etc..., In thi...
Conference Paper
Interactions between people commonly expressed and possessed emotions due to the human beings. Respiration is one of the parameters that reflects an emotion. The reasonable hypothesis, that various respiratory patterns are associated with various emotions, has enhanced the evidence for links between respiration and emotion. For instance, breathing...
Conference Paper
Full-text available
Due to the vast growth of informatics and computer-related applications, most universities have offered a variety of education programs in Computer Science (CS), Information Technology (IT), and further newly Information Systems (IS) and Business Informatics (BI). With respect to its development, BI is still offspring. This paper expressed briefly,...
Article
Full-text available
The active safety systems used in automotive field are largely exploiting lane detection technique for warning the vehicle drivers to correct any unintended road departure and to reach fully autonomous vehicles. Due to its ability, to be programmed, to perform complex mathematical functions and its characterization of high speed processing, Field P...
Article
Full-text available
Computer vision becomes one of the significant smart city applications due to the unbelievable growth in electronics, informatics, and communication fields. Since the smart city is directed by smart self-governing systems, A lot of algorithms have been released for achieving smart city requirements. These algorithms include methods for detecting te...
Chapter
Full-text available
In the most recent years, numerous approaches have been accomplished in the discipline of human voice recognition for building speaker identification systems. Frequency and time domain techniques are widely used in extracting human voice features. This paper presents the most robust and most popular Mel-frequency cepstral coefficient (MFCC) techniq...
Article
Full-text available
Benefit Due to the pressing demand for safe storage in public areas, Increase the number of people applying these services in substantial life, such as the Holy shrines, Institutions, Airports and building office, In view of the traditional methods of the lockers to save a package, which relies on regular keys that can be stolen or lost, the higher...
Article
Full-text available
In this paper the efficiency comparison are displayed for recognize the unripe strawberry fruit using two different methods; color thresholding and K-means clustering. Color thresholding technique includes the following steps: color thresholding, morphological enhancement and draw mark for tracking. K-means clustering comprises filtering, convert t...
Article
Full-text available
In this paper, the efficiency comparison is displayed for recognize the unripe strawberry fruit using two different methods; color thresh- olding and K-means clustering. Color thresholding technique includes the following steps: color thresholding, morphological enhance- ment and draw mark for tracking. K-means clustering comprises filtering, trans...
Article
Full-text available
With the growth of the electronic and communication devices, computer vision has become an significant application of smart cities. A smart city is controlled by smart autonomous systems. Many algorithms have been developed to satisfy these smart cities. This paper concerned with addressing the moving objects (vehicles) by using morphological techn...
Article
Full-text available
With the growth of the electronic and communication devices, computer vision has become an significant application of smart cities. A smart city is controlled by smart autonomous systems. Many algorithms have been developed to satisfy these smart cities. This paper concerned with addressing the moving objects (vehicles) by using morphological techn...
Article
Full-text available
In the near future, autonomous vehicles are predicted to improve traffic flow, enhance mobility, alleviate navigation, reduce fuel consumption and crime. In spite of the various potential benefits to the utilization of vehicle automation, there are unresolved problems of safety and liability. Consequently, this paper has proposed an FPGA-Based Lane...
Article
Full-text available
The active safety systems used in the automotive field are largely exploiting lane detection techniques for warning the vehicle drivers to correct any unintended road departure and to reach fully autonomous vehicles. Due to its ability, to be programmed, to perform complex mathematical functions and its characterization of high-speed processing, Fi...
Conference Paper
Full-text available
This paper presents the performance comparison for lane detection and tracking using two techniques; Hough transform and color thresholding. Hough transform includes the following steps: gray scale conversion, edge detection, Hough space accumulation and un-Hough step to draw line. Color thresholding algorithm comprises color thresholding, morpholo...

Questions

Questions (4)
Question
Dear researchers
I am wondering about journals specializing in engineering and computer science that are:
1-Free of charge
2-Fast acceptance and publication
3- Open Access
4- Scopus or Clarivate indexed
Question
  • The COVID-19 has resulted in schools shut all across the world. Globally, over 1.2 billion children are out of the classroom.
  • As a result, education has changed dramatically, with the distinctive rise of e-learning, whereby teaching is undertaken remotely and on digital platforms.
  • Research suggests that online learning has been shown to increase retention of information, and take less time, meaning the changes coronavirus has caused might be here to stay.
Do you think e-learning has provided more educational opportunities with less effort?
Question
I try to analyze the respiration of humans that infected with COVID-19, Anyone has the dataset of that disease? we seek cooperation with scientific research.
Question
There are several articles and textbooks that cite my articles but are not included as citations in my Google Scholar profile. However, I was wondering whether anybody knows how we can add these missing citations to our profile in Google Scholar?

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