
Mohammad A. N. Al-AzawiGulf College Oman · Department of Information Technology
Mohammad A. N. Al-Azawi
BSc. Eng. MSc, MPhil, PhD
Associate Prof.
About
48
Publications
33,640
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124
Citations
Introduction
Dr Mohammad Alazawi is Associate Prof in AI. He has MPhil & PhD in Computational Intelligence from De Montfort University/UK, in addition to his BSc and MSc in Computer Engineering. He has over 20 years of teaching experience. & has published many papers in leading journals and participated in many international Conferences. He is a reviewer and editor for many journals and conferences. His research interests: applying human intelligence on machine vision and AI
Additional affiliations
Education
September 2011 - June 2015
September 2010 - September 2011
September 1992 - August 1995
Publications
Publications (48)
Saliency or salient region extraction from images is still a challenging field as it needs some understanding of the image and its nature. A technique that is suitable for some applications is not necessarily useful in other applications, thus, saliency identification is dependent upon the application. Based on a survey of existing methods of salie...
Machine vision is still a challenging topic and attracts many researchers. One of the significant differences between machine vision and human vision is attention whuch is one of the important properties of Human Vision System, with which the human can focus only on part of the scene at a time; scenes with more abrupt features shall attract human a...
Image segmentation is one of the most important techniques
in image processing. It is widely used in different applications
such as computer vision, digital pattern recognition, robot
vision, etc. Histogram was the earliest feature that has been
used for isolating objects from their background, it is widely
applicable in different application...
In computer vision applications it is necessary to extract the regions of interest in order to reduce the search space and to improve image contents identification. Human-Oriented Regions of Interest can be extracted by collecting some feedback from the user. The feedback usually provided by the user by giving different ranks for the identified reg...
Saliency or Salient regions extractions form
images is still a challenging field since it needs some
understanding for the image and the nature of the image.
The technique that is suitable in some application is not
necessarily useful in other application, thus, saliency
enhancement is application oriented. In this paper, a new
technique of extract...
Machine vision is still a challenging topic and attracts many researchers to research in this field. The main difference between machine vision and human vision is that, machines can see images as a set of pixels, while human can use cognitive capabilities to identify the contents of the image. Attention is one of the important properties of Human...
Medical image processing, which includes many applications such as magnetic resonance image (MRI) processing, is one of the most significant fields of computer-aided diagnostic (CAD) systems. It has witnessed great growth over the last few decades as a result of the tremendous advancements in computer technology. One of the applications that uses M...
Nowadays, email is an important medium of communication used by almost everyone whether for official or personal purposes, and this has encouraged some users to exploit this medium to send spam emails either for marketing purposes or for potentially harmful purposes. The massive increase in the number of spam messages led to the need to find ways t...
Medical image processing, which includes many applications such as magnetic resonance image (MRI) processing, is one of the most significant fields of computer-aided diagnostic (CAD) systems. the detection and identification of abnormalities in the magnetic resonance imaging of the brain is one of the important applications that uses magnetic reson...
Saliency extraction is a technique inspired by the human approach in processing a selected portion of the visual information received. This feature in the human visual system helps reduce the processing the brain needs to extract important information and neglect general and unimportant information. This paper presents a novel approach to identifyi...
In our previous studies, we showed that brain abnormalities can be detected by comparing the features extracted from the two lobes with each other. Based on this, many metrics, such as those extracted from colour or texture features, have been extracted and used. The large number of extracted metrics posed a challenge in terms of how important each...
This study sheds light on risks pertaining to interruptions disturbing the continuity of the course of higher academic education and the inability of students to attend regular classes for any reasons that may occur. Further enquiry is conducted as to how the institution can be equipped in lieu of the occurrence of such incidents. As there is some...
This study sheds light on risks pertaining to interruptions disturbing the continuity of the course of higher academic education and the inability of students to attend regular classes for any reasons that may occur. Further enquiry is conducted as to how the institution can be equipped in lieu of the occurrence of such incidents. As there is some...
Due to the importance of searching for an image in a database in various applications, many algorithms have been proposed to identify the contents of the image. Algorithms that identify the content of the image as a whole can offer good results in some applications and fail to produce satisfactory results in other applications. Therefore, searching...
Due to the great development in the field of digital image processing, it has become an integral and important part of computer-aided diagnosis systems. Magnetic resonance image (MRI) processing is one of the hot fields that attracted researchers due to its role in improving and speeding up diagnosis. This work presents a new method for identifying...
Developing systems inspired by human intelligence was the interest of research for many decades. Human vision is one of the fields the researchers tried to simulate and imitate to develop powerful machine vision systems. This research focuses on the advantages of extracting regions of interest from a scene in reducing the processing power and stora...
Eye tracking is one of the important technologies that is used to identify individual's interest by recording and analysing his/her eyes' movements. The attention and interest identification can be, then, used in various applications such as marketing and education. In this research, we utilise this technology and apply it in consumer behaviour app...
OPSO and AAPSO are the most recently developed face recognition techniques, in order to optimize the parameters of SVM. However, in order to increase the optimization, a combination between OPSO and AAPSO techniques has been proposed in this paper. The proposed technique is called Adaptive-Opposition particle swarm optimization (AOPSO). In AOPSO, t...
Abstract—This research focuses on the use of human visual attention (HVA) principles to improve machine vision processing by understanding these principles and simulating them in salient regions extraction. It includes a brief explanation for HVA and salient point extraction and comparison between them. It, also, reviews some state-of-the-art appro...
Abstract— This research presents an approach of the application of salient regions extraction in identifying the contents of an image which is referred to as Saliency-Based Image Retrieval System (SBIR). A discussion of Content-based image retrieval (CBIR), image identification and evaluation of image retrieval systems is presented in this paper as...
Most of the studies in image contents recognition and identification focus on identifying the objects that the image contains. Although, background identification is an important part of any image contents identification and description, it has received less attention. Background identification is as important as the objects in the image in describ...
Abstract—Machine vision is still a challenging topic and
attracts researchers to carry out researches in this field. Efforts
have been placed to design machine vision systems (MVS) that
are inspired by human vision system (HVS). Attention is one of
the important properties of HVS, with which the human can
focus only on part of the scene at a time;...
Abstract—Machine vision is still a challenging topic and
attracts researchers to carry out researches in this field. Efforts
have been placed to design machine vision systems (MVS) that
are inspired by human vision system (HVS). Attention is one of
the important properties of HVS, with which the human can
focus only on part of the scene at a time;...
Abstract—Machine vision is still a challenging topic and
attracts researchers to carry out researches in this field. Efforts
have been placed to design machine vision systems (MVS) that
are inspired by human vision system (HVS). Attention is one of
the important properties of HVS, with which the human can
focus only on part of the scene at a time;...
This research introduces an image retrieval system which is, in different ways, inspired by the human vision system. The main problems with existing machine vision systems and image understanding are studied and identified, in order to design a system that relies on human image understanding. The main improvement of the developed system is that it...
Abstract— Saliency or Salient region extraction from images is still a challenging field as it needs some understanding of the image and its nature. A technique that is suitable for some applications is not necessarily useful in other applications, thus, saliency enhancement is application-oriented. Based on a survey of existing methods of saliency...
Image segmentation is one of the most important techniques in image processing. It is widely used in different applications such as computer vision, digital pattern recognition, robot vision, etc. Histogram was the earliest feature that has been used for isolating objects from their background, it is widely applicable in different application in wh...
Image segmentation is one of the most important techniques
in image processing. It is widely used in different applications
such as computer vision, digital pattern recognition, robot
vision, etc. Histogram was the earliest feature that has been
used for isolating objects from their background, it is widely
applicable in different application...
Human attention which is represented by the place he focuses on can give impression about the person interest, thus eyes tracking systems have become one of the important tools in different applications. Nowadays the collection of the gaze points from the user became easy and available, though, filtering and grouping these points to form the region...
Abstract— Image segmentation is one of the most important
techniques in image processing, it is widely used in variety of
applications like; computer vision, digital pattern recognition,
robot vision, etc. histogram was the earliest feature which has
been used for segmenting objects from their background, it is
widely applicable in different applic...
Image recognition and understanding is one of the most interesting fields of researches. Its main idea is to bridge the gap between the high level human image understanding and the low level machine image representation. Quite a lot of applications have been suggested in different fields like medicine, industry, robotics, satellite imagery and othe...
http://www.academia.edu/1934322/Reflections_on_the_use_of_ICT_for_effective_learning_at_Oman_College
"An edge matching technique has been used in this work where an algorithm was developed for detecting & coding the edge points which depends on the direction of the edge points the coding is followed by’ edge thinning, edge linking & isolated points removing .Then points tracing process is performed to form the straight lines. Lines matching operat...
BSTRACT An edge matching technique has been used in this work where an algorithm
was developed for detecting & coding the edge points which depends on the direction of the
edge points the coding is followed by edge thining, edge linking & isolated points removing.
Then points tracing process is performed to form the straight lines. Lines matching o...
Questions
Questions (6)
Ethical Concerns of AI use and development Survey
Thank you for taking the time to participate in this survey on awareness of ethical concerns in the use and development of AI.
The survey will take approximately 5–10 minutes to complete.
All responses will be anonymized and used solely for research purposes.
https://lnkd.in/dhy3Jus9
To develop a survey to collect information and create a dataset to study the reasons and effects of social media addiction, I would appreciate it if you take some time to give your feedback and opinions.
The following are the main questions,
Please feel free to suggest any other questions or factors and I will develop the form and share it with you.
Please refer to the project in the following link to follow the progress and updates:
- Factors used to measure the level of a person's addiction to social media:
- Number of hours a person spends browsing social media platforms
- Number of social media platforms a person has accounts on
- Number of followers on each platform
- The purpose of using social media
- - Playing games
- - Follow the news
- - Meet new friends
- - E-Commerce
- - Entertainment
- Personal Information
- Age
- Educational level
- Employability status
- Monthly income
- Specialization
Dear Colleagues
One of my students is studying the reasons that encourage social media platforms users to spread fake news. Please take a few minutes to share your opinion and fill out the questionnaire at the following link
Your participation is highly appreciated