Mohammed Hazim Alkawaz

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Verified

Mohammed verified their affiliation via an institutional email.

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• Doctor of Philosophy
• Asst.Prof.Dr at University of Mosul

O Multiscale U-Net, as an important model for deep learning in the field of medical image segmentation, has been widely studied and applied in recent years. In this paper, we systematically review the algorithmic variants of multiscale U-Net and the specific applications of different algorithms in image segmentation of different epidemics. However,...

This work is to investigate the diagnostic value of a deep learning-based magnetic resonance imaging (MRI) image segmentation (IS) technique for shoulder joint injuries (SJIs) in swimmers. A novel multi-scale feature fusion network (MSFFN) is developed by optimizing and integrating the AlexNet and U-Net algorithms for the segmentation of MRI images...

This paper systematically reviews the aspect-based sentiment analysis techniques that integrate data augmentation and pre-trained language models. Aspect-based sentiment analysis aims to identify the sentiment tendency of specific aspects in texts. Traditional methods face challenges such as data sparsity and insufficient model generalization. Data...

Medical image segmentation is a core task in the field of medical image processing. It aims to separate areas of interest such as organs, tissues, and lesions from the background in medical images to facilitate further analysis, diagnosis, and treatment planning. Accurate image segmentation is crucial for improving the accuracy of disease diagnosis...

Swarm intelligence, inspired by the collective behaviour of natural swarms and social insects, represents a powerful paradigm for solving complex optimization and decision-making problems. In this review paper, we provide an overview of swarm intelligence, covering its definition, principles, algorithms, applications, performance evaluation, challe...

This paper reviews the strategies for high-throughput concurrent processing of graph data in edge computing environments. As information technology rapidly advances, particularly in areas such as the Internet of Things (IoT), smart cities, and autonomous driving, the need for real-time and efficient data processing continues to grow. Edge computing...

Software Regression Testing (SRT) helps with the modified code to ensure that no other new defects have been trained and significantly impact the existing code. SRT is a time and cost taking process. Test Case Prioritization (TCP) helps to reschedule test cases (TC’S) and picks according to the prioritization, which allows the software testers to m...

Coronavirus Disease 19 or well known as Covid-19 is infectious disease that attack human respirator system. This virus is contagious due to its fast transmission from small droplets that come to people that sneezing, coughing, or even talking. This virus can stay in air for long time and it also can survive on the inanimate surface things. During t...

In order to avoid Alzheimer’s disease (AD) progression, diagnosis is necessary beforehand. Specialists would then begin preventive care as quickly as possible. They require fast and accurate evaluation at the earliest and most challenging stage to detect in the diagnosis of AD. The main objectives of this paper are to review previous studies into a...

A Fingerprint is an important identifier for the humans. This paper proposes finger print voting system with Arduino. The majority of the worldwide election were using a paper-based voting rather than using biometric system. The current voting process has safety problems such as authenticity of voters. In proposed system, a voter identity can be pr...

the exploration on 3D advanced model is developing and turned out to be more sensible as far as three dimensional information. The rise of laser checks and propelled 3D instruments bestowed promote towards the fast improvement of any unpredictable model. This paper has given an outline on 3d process, for example, design, finishing and rendering. 3D...

Currently, rapid growth of digital images on the internet is observed, accordingly, the need for content-based image retrieval systems are in high demand. Content-based image retrieval (CBIR) is an image search technique that does not depend on manually assigned annotations; rather, CBIR uses discriminative features to search an image. By refining...

Mobile ad hoc network (MANET) is a set of nodes, which communicates using wireless medium and forming an arbitrary and dynamic network. Data is transmitted by forwarding the data from one node to another. To achieve this, each MANET node must act as both a host and a routing node. Routing in MANET poses a challenge because of the frequent changes i...

Current studies indicate that there is no comprehensive instructor model in e-learning systems’ adoption in universities in Tanzania. This paper addresses this problem by developing an instructor model through adapting DeLone and McLean (2003) information system success model. The developed research model answers the following debatable questions:...

Campus tours are among the opportunities for colleges and universities to show their environment, facilities and achievement to the visitors or prospective students. Along with the advancement technology of mobile devices, smartphone and tablet have created new possibilities for the institutions to create mobile application which is integrated with...

The problem of finding comprehensive model to measure e-learning systems' adoption in universities is the global agenda like Malaysia in particular. This problem has been contributed by limited factors of existing models. The main purpose of this research study is to develop the robust multi-factors model for measuring adoption of e-learning system...

Studies show that there are many benefits of using Web 2.0 and social media in governments. However, the factors influencing government employees‘ adoption of these technologies are not well known. In this paper, the Unified Theory of Acceptance and Use of Technology (UTAUT) was integrated with two constructs, namely, perceived confidentiality risk...

Since powerful editing software is easily accessible, manipulation on images is expedient and easy without leaving any noticeable evidences. Hence, it turns out to be a challenging chore to authenticate the genuineness of images as it is impossible for human’s naked eye to distinguish between the tampered image and actual image. Among the most comm...

Lip synchronization of 3D face model is now being used in a multitude of important fields. It brings a more human, social and dramatic reality to computer games, films and interactive multimedia, and is growing in use and importance. High level of realism can be used in demanding applications such as computer games and cinema. Authoring lip syncing...

Data mining uses sophisticated mathematical algorithms to segment the data and evaluate the probability of future events. With this process, it helps to find patterns within large data sets to predict outcomes. The process of data mining uses big data, therefore, it is very suitable to be incorporated to the system. The development of this website...

Data mining methods have been implemented in many advanced universities nowadays to analyze and extract the information which can help in decision making. In this study, a website system in the platform of PHP and Laravel is presented. The system can predict the students’ academic performances in Management and Science University (MSU) based on C4....

The color of skin is one of the key indicators of bodily change that affect facial expressions. The skin colour tenacity is majorly determined by the light effect and concentration from the chromophores inside skin and haemoglobin oxygenation in the blood. We did an extension work of previous researcher: Donner and Jensen approach to develop a real...

With an increase in the advancement of digital imaging and computing power, computationally intelligent technologies are in high demand to be used in ophthalmology cure and treatment. In current research, Retina Image Analysis (RIA) is developed for optometrist at Eye Care Center in Management and Science University. This research aims to analyze t...

With ceaseless utilization of web and other online advances, it has turned out to be amazingly simple to imitate, discuss, and convey digital material. Subsequently, confirmation and copyright assurance issues have been emerged. Text is the most widely used media of communication on the web as compared with images and videos. The significant part o...

Face is the most considerable constituent that people use to recognize one another. Humans can quickly and easily identify each other by their faces and since facial features are unobtrusive to lighting condition and pose, face remains as a dynamic recognition approach to human. Kinship recognition refers to the task of training a machine to recogn...

In recent years, the opinion analysis is one of the key research fronts of any domain. Opinion target extraction is an essential process of opinion analysis. Target is usually referred to noun or noun phrase in an entity which is deliberated by the opinion holder. Extraction of opinion target facilitates the opinion analysis more precisely and in a...

The boundaries of computer vision are especially challenged by partial occluded ob-ject recognition. In this paper, we proposed a new algorithm that used to recognize the partially occluded objects in 2-D images. Two different cases of occlusion are considered. Firstly, when an object missing some parts. Secondly, objects are overlapping each other...

Segmentation of objects from a noisy and complex image is still a challenging task that needs to be addressed. This article proposed a new method to detect and segment nuclei to determine whether they are malignant or not (determination of the region of interest, noise removal, enhance the image, candidate detection is employed on the centroid tran...

Cloth simulation is an area of research in domain of computer graphics, that assists actors/actress to wear such clothes that seem real using animated techniques. In this paper, we discuss a panoramic overview on computer graphics cloth simulation and modelling techniques such as firstly geometrical methods which utilise geometrical equations to ge...

http://dx.doi.org/10.1155/2014/367013

Now a days, writer identification is at high demand to identify the original writer of the script at high accuracy. The one of the main challenge in writer identification is how to extract the discriminative features of different authors’ scripts to classify precisely. In this paper, the adaptive division method on the offline Latin script has been...

Image fusion process consolidates data and information from various images of same sight into a solitary image. Each of the source images might speak to a fractional perspective of the scene, and contains both "pertinent" and "immaterial" information. In this study, a new image fusion method is proposed utilizing the Discrete Cosine Transform (DCT)...

Markerless tracking for augmented reality should not only be accurate but also fast enough to provide a seamless synchronization between real and virtual beings. Current reported methods showed that a vision-based tracking is accurate but requires high computational power. This paper proposes a real-time hybrid-based method for tracking unknown env...

In various application domains such as website, education, crime prevention, commerce, and biomedicine, the volume of digital data is increasing rapidly. The trouble appears when retrieving the data from the storage media because some of the existing methods compare the query image with all images in the database; as a result, the search space and...

The quest for determining the glamorous conditions of the human facial skin based on the texture, color, health perception, races, age and charm is never-ending. Manifestation of facial skin is subjected to the physical and physiological state of human emotions. The facial expression and appearance alters as we move, talk, think and endure stress u...

The quest of developing realistic facial animation is ever-growing. The emergence of sophisticated algorithms, new graphical user interfaces, laser scans and advanced 3D tools imparted further impetus towards the rapid advancement of complex virtual human facial model. Face-to-face communication being the most natural way of human interaction, the...

The research on facial animation is growing and became more sensible in terms of three dimensional data. The emergence of laser scans and advanced 3D tools imparted further towards the rapid development of complex facial model. This paper has given an overview on facial animation techniques such as blend shape interpolation, facial action coding sy...

The rapid growth of covert activities via communications network brought about an increasing need to provide an efficient method for data hiding to protect secret information from malicious attacks. One of the options is to combine two approaches, namely steganography and compression. However, its performance heavily relies on three major factors,...

This paper presents a novel features mining approach from documents that could not be mined via optical character recognition (OCR). By identifying the intimate relationship between the text and graphical components, the proposed technique pulls out the Start, End, and Exact values for each bar. Furthermore, the word 2-gram and Euclidean distance m...

The facial animation in term of 3D facial data has accurate research support of the laser scan and advance 3D tools for complex facial model production. However, the approach still lacks facial expression based on emotional condition. Though, facial skin colour is required to offers an effect of facial expression improvement, closely related to the...

The rapid growth of covert activities via communications network brought about an increasing need to provide an efficient method for data hiding to protect secret information from malicious attacks. One of the options is to combine two approaches, namely steganography and compression. However, its performance heavily relies on three major factors,...

Nowadays, computer facial animation is used in a significant multitude fields that brought human and social to study the computer games, films and interactive multimedia reality growth. Authoring the computer facial animation, complex and subtle expressions are challenging and fraught with problems. As a result, the current most authored using univ...

The research on facial animation has grown very fast and become more realistic in term of 3D facial data since the laser scan and advance 3D tools can support creating complex facial model. However, that approaches still lacking in term of facial expression based on emotional condition. Facial skin color is one parameter that is contributing on aug...