Papers by Maad M . Mijwil
To That of Artificial Intelligence, Passing Through Business Intelligence
Advances in computational intelligence and robotics book series, Apr 7, 2023
Asian Journal of Applied Sciences
Artificial intelligence is one of the most popular and influential sciences in many fields. It wo... more Artificial intelligence is one of the most popular and influential sciences in many fields. It works continuously to contemporise computer systems to operate with high efficiency and to think like what a human think. In addition, this science seeks to make the work of the machine simulate the work of the human brain in thinking and making decisions, according to the environment in which they live. Therefore, it has become necessary to have artificial intelligence applications in all areas, including education, especially the English language teaching electronically. In this regard, the most influential applications and programs that contribute to the development of teaching English electronically and their effectiveness in developing e-learning will be reviewed. This article concluded that there are applications of artificial intelligence in teaching English electronically, which are of great importance and a great future in the development of language teaching.
Asian Journal of Applied Sciences
Deep learning has become a favoured trend in many applications serving humanity in the past few y... more Deep learning has become a favoured trend in many applications serving humanity in the past few years. Since deep learning seeks useful investigation and can learn and train huge amounts of unlabelled data, deep learning has been applied in many fields including the medical field. In this article, the most noteworthy applications of deep learning are presented shortly and positively, they are image recognition, automatic speech recognition, natural language processing, drug discovery and toxicology, customer relationship management, recommendation systems and bioinformatics. The report concluded that these applications have a significant and vital role in all areas of life.
Asian Journal of Pharmacy, Nursing and Medical Sciences
Nowadays, artificial intelligence, machine learning, and deep learning are among the most popular... more Nowadays, artificial intelligence, machine learning, and deep learning are among the most popular and applied topics in many scientific and life fields that serve humanity. This science seeks to impose itself strongly on the various activities and academic circles and information science. Artificial intelligence techniques have proven their worth to be important in many fields, especially in the medical fields, business administration, military applications, communications, and many others. In short, artificial intelligence is from another world that will be of great importance in the future. In this article, the importance of digitisation and artificial intelligence in the healthcare sector will be addressed, what services they provide to this sector, and how they contribute to the service of healthcare workers and patient satisfaction. This article concluded that artificial intelligence and digital technologies are of great importance in the healthcare sector and can never be disp...
Asian Journal of Applied Sciences
A convolutional neural network is one of the deep learning architectures that has been involved i... more A convolutional neural network is one of the deep learning architectures that has been involved in a lot of the literature, and it's incredible at work. The convolutional neural network is distinguished in its use in computer vision and graphical analysis applications. It is characterised by the actuality of one or more hidden layers that extract features in images or videos, and there is also a layer to show the effects. In this regard, the authors decided to involve the convolutional neural network algorithm to classify a few chest X-ray images of COVID-19 patients and study the behaviour of this algorithm and the effects that will be obtained at the time of training. Finally, this study concluded that the performance and practices of this algorithm are very excellent and give satisfactory effects with a perfect training time.
Iraqi Journal of Science
The coronavirus is a family of viruses that cause different dangerous diseases that lead to ... more The coronavirus is a family of viruses that cause different dangerous diseases that lead to death. Two types of this virus have been previously found: SARS-CoV, which causes a severe respiratory syndrome, and MERS-CoV, which causes a respiratory syndrome in the Middle East. The latest coronavirus, originated in the Chinese city of Wuhan, is known as the COVID-19 pandemic. It is a new kind of coronavirus that can harm people and was first discovered in Dec. 2019. According to the statistics of the World Health Organization (WHO), the number of people infected with this serious disease has reached more than seven million people from all over the world. In Iraq, the number of people infected has reached more than twenty-two thousand people until April 2020. In this article, we have applied convolutional neural networks (ConvNets) for the detection of the accuracy of computed tomography (CT) coronavirus images that assist medical staffs in hospitals on categorization chest CT-coron...
Asian Journal of Applied Sciences, 2021
A decision tree (DTs) is one of the most popular machine learning algorithms that divide data rep... more A decision tree (DTs) is one of the most popular machine learning algorithms that divide data repeatedly to form groups or classes. It is a supervised learning algorithm that can be used on discrete or continuous data for classification or regression. The most traditional classifier in this algorithm is the C4.5 decision tree, which is the point of this research. This classifier has the advantage of building a vast data set and does not stop until it reaches the desired goal. The problem with this classifier is that there are unnecessary nodes and branches leading to overfitting. This overfitting can negatively affect the classification process. In this context, the authors suggest utilizing a genetic algorithm to prune the effect of overfitting. This dataset study consists of four datasets: IRIS, Car Evaluation, GLASS, and WINE collected from UC Irvine (UCI) machine learning repository. The experimental results have confirmed the effectiveness of the genetic algorithm in pruning th...
Asian Journal of Applied Sciences
Deep learning techniques have become vital in many fields in the modern era because they are exce... more Deep learning techniques have become vital in many fields in the modern era because they are excellent at analysing and predicting real big data to act in different situations. Although it is marvellous in many aspects, it is prone to misinterpretation of data, so teams of experienced specialists cannot be dispensed with in following up on the execution stages of data analysis. Convolutional Neural Network is one of the most significant deep learning techniques. It is widely employed in visual image analysis. In this article, R-CNN and Fast R-CNN are summarised and compared and are the best in image analysis. This article concluded that the most suitable performance is for Fast R-CNN in testing and training.
Asian Journal of Applied Sciences
Today, humans live in the era of rapid growth in electronic devices that are based on artificial ... more Today, humans live in the era of rapid growth in electronic devices that are based on artificial intelligence, including the significant growth in the manufacture of machines that perform intelligent human tasks to solve complex situations. Artificial intelligence will significantly influence the development of many domains, especially the medical domain, which relies heavily on artificial intelligence techniques in diagnosing disease data and manufacturing drugs and vaccines. Artificial intelligence has unexpectedly advanced in helping physicians and healthcare workers save many lives, especially during the spread of the COVID-19 virus. This article reviews some literature that have applied deep learning techniques to detect COVID-19 based on chest x-rays and CT-scans images. This article concluded that deep learning techniques have a fundamental and significant role in diagnosing a big dataset of images and assisting specialists in determining whether a person is infected (positiv...
Journal of Advances in Medicine and Medical Research
According to the World Health Organization, many people suffer from heart disease and blockage of... more According to the World Health Organization, many people suffer from heart disease and blockage of blood vessels, which are the most common diseases of death worldwide. The heart is one of the human body organs located between the lungs in the middle of the chest behind the sternum muscle. In this article, the authors decided to highlight the types of heart disease that affect humans and the signs and causes. This article outlined that these diseases are dangerous, and care should be taken to review the specialists early and take the appropriate treatment in order not to cause sudden death.
Asian Journal of Applied Sciences
The epidemic is an imminent danger that all humans fear, as it does not differentiate between any... more The epidemic is an imminent danger that all humans fear, as it does not differentiate between anyone, whether small or old, rich or poor. It is characterized by its ability and super speed to conquer the world and its primary goal is to target humans and eradicate their lives. In this article, the authors decided to provide a brief historical overview of the Spanish flu pandemic, where it initiated and how it influenced the people of the earth and review a set of images about events that occurred in the United States of America in 1918. All facts in this article are collected from a group of published articles on websites. This article found that the Spanish flu is one of the deadliest diseases in human history, as it managed to kill 40 to 100 million people around the world in two years.
Asian Journal of Applied Sciences
In the modern era, artificial intelligence applications have become one of the most essential and... more In the modern era, artificial intelligence applications have become one of the most essential and prominent aspirations of countries in their various organisations and sectors, especially the education sector, due to the ability of these techniques to help this sector to develop rapidly and increase productivity by imparting scientific material in a beautiful way to the learners. This article provides an overview of the significance of artificial intelligence applications and their role in learning, and how they can be employed in the future. All information in this scenario is collected from a set of studies published in the time of COVID-19 pandemic between 2019 and 2021. This scenario concluded that artificial intelligence is the future that is constantly growing and can be benefited from in the field of education and must be properly exploited to build a new world that depends heavily on digital societies.
Asian Journal of Engineering and Technology, 2022
The optoelectronic achievement of a lattice matching InGaAs/InP lateral cavity surface radiating ... more The optoelectronic achievement of a lattice matching InGaAs/InP lateral cavity surface radiating LASER in crystal orientations (100), (110), (111), (113), and (131) is computationally simulated utilising MATLAB by attempting to solve a k.p Hamiltonian of eight-band utilising only a finite difference strategy with spin-orbit linkage. To shift wave-vector k as well as Hamiltonian from traditional (100) plane orientation, tensor plane revolution equations are used. It is demonstrated that optical emission spectrum and crystal plane alignments have a significant correlation. At a carriers injection density of 2.50 x 1018 per cm3, the maximum and minimum gains are measured in the (111) as well as (100) orientations, respectively, with optimum emission wavelengths of 1770.00nm and 1680.00nm. This research will serve as a catalyst for the development of ultra-fast optoelectronic devices with improved performance thanks to the use of non-100 orientation epitaxial layers.
5 Abstract— Malware is a software that is created to distort or obstruct computer or mobile appli... more 5 Abstract— Malware is a software that is created to distort or obstruct computer or mobile applications, gather sensitive information or execute malicious actions. These malicious activities include increasing access through personal information, stealing this valuable information from the system, spying on a user’s activity, and displaying unwanted ads. Nowadays, mobile devices have become an essential part of our times, therefore we always need active algorithms for malware detection. In this paper, supervised machine learning techniques (SMLTs): Random Forest (RF), support vector machine (SVM), Naïve Bayes (NB) and decision tree (ID3) are applied in the detection of malware on Android OS and their performances have been compared. These techniques rely on Java APIs as well as the permissions required by employment as features to generalize their behavior and differentiate whether it is benign or malicious. The experimentation of results proves that RF has the highest performance ...
13 Abstract—Wireless sensor networks (WSNs) bring together advanced sensor technology and innovat... more 13 Abstract—Wireless sensor networks (WSNs) bring together advanced sensor technology and innovative network algorithms, making them a highly relevant field of research. WSNs can be deployed in a variety of environmental monitoring and information gathering applications. This paper, clarify a significant Structure of parking management using WSN. The parking management system, a number of sensor nodes is placed in the parking field to indicate the occupancy of the parking space. The information on the state of the parking spaces is sent to a base station posted on the parking entrance, to guide the drivers. The sensor nodes are equipped with a battery providing the energy to ensure their operation. This energy resource is very important for the sensor nodes and has a direct effectiveness on the sensor nodes life and thus entire WSN. In this paper, Hybrid communication mode is offered to optimize energy consumption. The energy consumption is compared in the proposed parking managemen...
Asian Journal of Applied Sciences, 2021
All nations are facing significant challenges and difficulties in the face of an intense pandemic... more All nations are facing significant challenges and difficulties in the face of an intense pandemic that controls human life, and many things have changed in life, which led to the doubling of the global economy and the difficulty of life for many of the world's inhabitants. At present, the nations are seeking to control the spread of the epidemic in them, as every country uses plans to prevent this pandemic. This article presents South Korea's experience in employing modern artificial intelligence techniques in facing COVID-19. Besides, the use of artificial intelligence techniques and their great role in analysing images of people with COVID-19 disease are discussed, and how they are used to save many lives of the victims. The data obtained in this article is from a group of studies, social networking sites, and news on TV channels in the first period of 2020, which are collected and summarised in this article. This study summarises the role of South Korea in facing the pand...
Asian Journal of Applied Sciences, 2019
The internet and especially social media are one of the most important means of modern communicat... more The internet and especially social media are one of the most important means of modern communication among humanity. Undoubtedly, it has played an important role in influencing the cultures of many peoples. It has had positive and negative effects. The effect of this modern technology has extended to the family. The Sociology defines a family is a group consisting of a man and a woman with whom there is a marital relationship. As a result, many problems have arisen, including all segments of society, including the important part of society and its main constituent, countryside families. In this paper, the main hypothesis was established to show whether there is a statistically significant effect on the Iraqi family’s relationship in Diyala governorate and specifically in Khanaqin city, by using the linear regression equation in SPSS, which shows the effect of the Internet as well as social media sites on them.
AUS Journal, 2019
The investment and progress made in the transfer of technology by the Gulf cooperation council (G... more The investment and progress made in the transfer of technology by the Gulf cooperation council (GCC) countries to industrialize their countries are briefly reviewed. About 31.42 billion US$ was spent between, and 2005 to 2015 establish over 3280 industrial operating plants. Manufacturing industry and other sectors contribution to national income has increased significantly. However, serious difficulties and obstacles still face the GCC industry, and these are specified and reported. The status and level of expenditure of R & D were low, and the present R & D system is deficient. These might have been partly responsible for the above industrial problems. Arab countries spent 0.76 % of their GNP on R & D in 1989 compared to 2.92 % of GNP by developed countries. The expenditure on R & D is increased by 10 % for the same period. Examples of indigenous R & D showed success in achieving innovative technologies because the environment for R & D was right. Some corrective measures to present R & D systems are recommended.
Asian Journal of Pharmacy, Nursing and Medical Sciences
The COVID-19 virus, which began at the end of 2019 in China and spread rapidly and turned into a ... more The COVID-19 virus, which began at the end of 2019 in China and spread rapidly and turned into a significant epidemic worldwide, has posed a severe threat to public health. Affected persons may develop an asymptomatic or mild illness or may experience severe consequences, up to acute respiratory failure requiring the support of healthcare workers. In this article, the authors decided to highlight artificial intelligence techniques by identifying the most influential platforms and applications that have been used to track and control the spread of the COVID-19 pandemic. Fifteen tools utilised in the United States, Canada, South Korea, China, Turkey, Iraq, Germany, India, and Netherlands are organised in one table. This article found the significance of artificial intelligence and its ability to combat and control epidemics.
Asian Journal of Applied Sciences, 2022
Today, the science of artificial intelligence has become one of the most important sciences in cr... more Today, the science of artificial intelligence has become one of the most important sciences in creating intelligent computer programs that simulate the human mind. The goal of artificial intelligence in the medical field is to assist doctors and health care workers in diagnosing diseases and clinical treatment, reducing the rate of medical error, and saving lives of citizens. The main and widely used technologies are expert systems, machine learning and big data. In the article, a brief overview of the three mentioned techniques will be provided to make it easier for readers to understand these techniques and their importance.
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Papers by Maad M . Mijwil