Results for 'Ola Mohammed Abu Kweik'

404 found
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  1. Artificial Neural Network for Lung Cancer Detection.Ola Mohammed Abu Kweik, Mohammed Atta Abu Hamid, Samer Osama Sheqlieh, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (11):1-7.
    Abstract: The effectiveness of cancer prediction system helps the people to know their cancer risk with low cost and it also helps the people to take the appropriate decision based on their cancer risk status. The dataset is collected from the data world website. In this paper, we proposed an Artificial Neural Network for detecting whether lung cancer is found or not in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic (...)
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  2.  92
    Predicting Birth Weight Using Artificial Neural Network.Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (1):9-14.
    In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The evaluation (...)
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  3. An Expert System for Arthritis Diseases Diagnosis Using SL5 Object.Hosni Qasim El-Mashharawi, Izzeddin A. Alshawwa, Mohammed Elkahlout & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):28-35.
    Background: Arthritis is very common but is not well understood. Actually, “arthritis” is not a single disease; it is an informal way of referring to joint pain or joint disease. There are more than 100 different types of arthritis and related conditions. People of all ages, sexes and races can and do have arthritis, and it is the leading cause of disability in America. More than 50 million adults and 300,000 children have some type of arthritis. It is most common (...)
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  4.  92
    Predicting Effect of Oxygen Consumption of Thylakoid Membranes (Chloroplasts) From Spinach After Inhibition Using Artificial Neural Network.Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (2):15-20.
    Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict effect of oxygen consumption of thylakoid membranes (chloroplasts) from spinach after inhibition. A number of factors were identified that may affect of oxygen consumption of thylakoid membranes from spinach. Factors such as curve, herbicide, dose, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some inhibition of photosynthesis in farms. (...)
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  5. A Proposed Artificial Neural Network for Predicting Movies Rates Category.Ibrahim M. Nasser, Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (2):21-25.
    We proposed an Artificial Neural Network (ANN) in this paper for predicting the rate category of movies. A dataset used obtained from UCI repository created for research purposes. Our ANN prediction model was developed and validated; validation results showed that the ANN model is able to 92.19% accurately predict the category of movies’ rate.
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  6. Artificial Neural Network for Mushroom Prediction.Kamel Jamal Dawood, Mohamed Hussam Zaqout, Riad Mohammed Salem & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (10):9-17.
    Abstract: Predication is an application of Artificial Neural Network (ANN). It is a supervised learning due to predefined input and output attributes. Multi-Layer ANN model is used for training, validating, and testing of the dataset. In this paper, Multi-Layer ANN model was used to train and test the mushroom dataset to predict whether mushroom is edible or poisonous. The Mushrooms dataset was prepared for training, 8124 instances were used for the training. JNN tool was used for training and validating the (...)
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  7. Developing Artificial Neural Network for Predicting Mobile Phone Price Range.Ibrahim M. Nasser, Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (2):1-6.
    In this paper an Artificial Neural Network (ANN) model, was developed and tested for predicting the price range of a mobile phone. We used a dataset that contains mobile phones information, and there was a number of factors that influence the classification of mobile phone price. Factors as battery power, CPU clock speed, has dual sim support or not, Front Camera mega pixels, has 4G or not, has Wi-Fi or not, etc…. 20 attributes were used as input variables for the (...)
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  8. Artificial Neural Network for Diagnose Autism Spectrum Disorder.Ibrahim M. Nasser, Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (2):27-32.
    In this paper an Artificial Neural Network (ANN) model, was developed and tested for diagnosing Autism Spectrum Disorder (ASD). A dataset collected from ASD screening app was used in this paper, it contains ASD tests results based upon questions answers from users. Test data evaluation shows that the ANN model is able to correctly diagnose ASD with 100% accuracy.
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  9. An Intelligent Tutoring System for Teaching the 7 Characteristics for Living Things.Mohammed A. Hamed & Samy S. Abu Naser - 2017 - International Journal of Advanced Research and Development 2 (1):31-35.
    Recently, due to the rapid progress of computer technology, researchers develop an effective computer program to enhance the achievement of the student in learning process, which is Intelligent Tutoring System (ITS). Science is important because it influences most aspects of everyday life, including food, energy, medicine, leisure activities and more. So learning science subject at school is very useful, but the students face some problem in learning it. So we designed an ITS system to help them understand this subject easily (...)
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  10.  82
    ANN Model for Predicting Protein Localization Sites in Cells.Mohammed Nafez Abu Samra, Bilal Ezz El-Din Abed, Hossam Abdel Nasser Zaqout & Samy S. Abu-Naser - 2020 - International Journal of Academic and Applied Research (IJAAR) 4 (9):43-50.
    To automate examination of massive amounts of sequence data for biological function, it is important to computerize interpretation based on empirical knowledge of sequence-function relationships. For this purpose, we have been constructing an Artificial Neural Network (ANN) by organizing various experimental and computational observations as a collection ANN models. Here we propose an ANN model which utilizes the Dataset for UCI Machine Learning Repository, for predicting localization sites of proteins. We collected data for 336 proteins with known localization sites and (...)
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  11. Type of Grapefruit Classification Using Deep Learning.Mohammed M. Abu-Saqer, Samy S. Abu-Naser & Mohammed O. Al-Shawwa - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (1):1-5.
    Fruit has been recognized as a good source of vitamins and minerals, and for their role in preventing vitamin C and vitamin A deficiencies. People who eat fruit as part of an overall healthy diet generally have a reduced risk of chronic diseases. Fruit are important sources of many nutrients, including potassium, fiber, vitamin C and folate (folic acid). One of important types of fruit is Grapefruit . Grapefruit is a tropical citrus fruit known its sweet and somewhat sour taste. (...)
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  12. Photoshop (CS6) Intelligent Tutoring System.Mohammed Z. Shaath, Mones Al-Hanjouri, Samy S. Abu Naser & Rami ALdahdooh - 2017 - International Journal of Academic Research and Development 2 (1):81-86.
    In this paper, we designed and developed an intelligent tutoring system for teaching Photoshop. We designed the lessons, examples, and questions in a way to teach and evaluate student understanding of the material. Through the feedback provided by this tool, you can assess the student's understanding of the material, where there is a minimum overshoot questions stages, and if the student does not pass the level of questions he is asked to return the lesson and read it again. Eventually this (...)
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  13. An Intelligent Tutoring System for Teaching Grammar English Tenses.Mohammed I. Alhabbash, Ali O. Mahdi & Samy S. Abu Naser - 2016 - European Academic Research 4 (9):1-15.
    The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years. English is the third most common languages in the world and also is the internationally dominant in the telecommunications, science and trade, aviation, entertainment, radio and diplomatic language as most of the areas of work now taught in English. Therefore, the demand for learning English has increased. In this paper, we describe the design of (...)
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  14. ITS for Enhancing Training Methodology for Students Majoring in Electricity.Mohammed S. Nassr & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (3):16-30.
    This thesis focuses on the use of intelligent tutoring system for education and training of students specialized in electricity in the field of technical and vocational education. The use of modern systems in training and education will have a great positive impact in improving the level of students receiving training and education; this will improve the level of the local economy by producing students of professionals who are able to engage in society efficiently, especially for those who have specialized in (...)
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  15. An Intelligent Tutoring System for Teaching Advanced Topics in Information Security.Ali O. Mahdi, Mohammed I. Alhabbash & Samy S. Abu Naser - 2016 - World Wide Journal of Multidisciplinary Research and Development 2 (12):1-9.
    Recently there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching information security. This intelligent tutoring systems target the students enrolled in Advanced Topics in Information Security in the faculty of Engineering and Information Technology at Al-Azhar University in Gaza. Through which the student will be able to study the course and solve related problems. An evaluation of the intelligent tutoring systems (...)
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  16. An Analytical Study of the Reality of Electronic Documents and Electronic Archiving in the Management of Electronic Documents in the Palestinian Pension Agency (PPA).Mohammed Khair I. Kassab, Samy S. Abu Naser & Mazen J. Al Shobaki - 2017 - European Academic Research 4 (12):10052-10102.
    The study aims to identify the reality of management of electronic documents and electronic archiving retirement in the Palestinian Pension Agency -analytical study, as well as to recognize the reality of the current document management system in the Palestinian Pension Agency. The study found the following results: that the reality of the current system for the management of documents in the agency is weak and suffers from many jams. Employee in the agency understand the importance and benefits of the management (...)
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  17. Impact of Information Technology on the Success of Office Management Systems in the Palestinian Pension Agency.Mohammed Khair I. Kassab, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (2):7-26.
    The aim of the research is to identify the impact of information technology on the success of office management systems in the Palestinian Pension Agency. The research community is composed of all the employees of the Palestinian Pension Agency. In order to achieve the objectives of the study, the researchers used the analytical descriptive method in which they tries to describe the phenomenon studied, analyze its data and the relationship between its components and the opinions that are raised around it. (...)
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  18. Avocado Classification Using Deep Learning.Mohammed N. Abu Alqumboz & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):30-34.
    Avocado is the fruit of the avocado tree, scientifically known as Persia Americana. This fruit is prized for its high nutrient value and is added to various dishes due to its good flavor and rich texture. It is the main ingredient in guacamole. These days, the avocado has become an incredibly popular food among health-conscious individuals. It’s often referred to as a superfood, which is not surprising given its health properties. Using a public dataset of 1,234 images of Avocado collected (...)
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  19. Breast Cancer Diagnosis and Survival Prediction Using JNN.Mohammed Ziyad Abu Shawarib, Ahmed Essam Abdel Latif, Bashir Essam El-Din Al-Zatmah & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (10):23-30.
    Abstract: Breast cancer is reported to be the most common cancer type among women worldwide and it is the second highest women fatality rate amongst all cancer types. Notwithstanding all the progresses made in prevention and early intervention, early prognosis and survival prediction rates are still not sufficient. In this paper, we propose an ANN model which outperforms all the previous supervised learning methods by reaching 99.57 in terms of accuracy in Wisconsin Breast Cancer dataset. Experimental results on Haberman’s Breast (...)
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  20.  39
    The Reality of Determinants of Organizational Justice in Palestinian Police Force.Mohammed N. R. Abusamaan, Mazen J. Al Shobaki, Suliman A. El Talla & Samy S. Abu-Naser - 2020 - International Journal of Academic Management Science Research (IJAMSR) 4 (10):137-160.
    Abstract: This study aimed to measure the reality of the determinants of organizational justice from the point of view of the police officers in Gaza Strip, and this study comes to study the reality of human resources and their organizational behavior in the police apparatus, which is the largest security services operating in Gaza Strip, so it is expected that this study will contribute to upgrading In this aspect, to be reflected positively on serving the country and the citizen and (...)
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  21. An Intelligent Tutoring System for Learning Introduction to Computer Science.Ahmad Marouf, Mohammed K. Abu Yousef, Mohammed N. Mukhaimer & Samy S. Abu-Naser - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (2):1-8.
    The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on the performance of students enrolled in computer science (...)
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  22.  43
    The Behavior of Organizational Citizenship in Palestinian Police Force Between Reality and Expectations.Mohammed N. R. Abusamaan, Mazen J. Al Shobaki, Suliman A. El Talla & Samy S. Abu-Naser - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 4 (10):167-197.
    Abstract: This study aimed to identify the behavior of organizational citizenship in Palestinian Police Force between reality and expectations, and this study comes to study the reality of human resources and their organizational behavior in the police apparatus, which is the largest security services operating in Gaza Strip, so it is expected that this study will contribute to improving this This aspect will be reflected positively on serving the country and the citizen and achieving security and safety for them. The (...)
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  23. Grape Type Classification Using Deep Learning.Hosni Qasim El-Mashharawi, Samy S. Abu-Naser, Izzeddin A. Alshawwa & Mohammed Elkahlout - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):41-45.
    Abstract: A grape is a fruit, botanically a berry, of the deciduous woody vines of the flowering plant genus Vitis. it can be eaten fresh or they can be used for making jam, grape juice, jelly, grape seed extract, raisins, and grape seed oil. Grapes are a nonclimacteric type of fruit, generally occurring in clusters. Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. (...)
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  24.  99
    Developing an Expert System for Papaya Plant Disease Diagnosis.Mohammed M. Abu-Saqer & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (4):14-21.
    The papaya is a plant that grows in tropical climates and also known as pawpaws or papaws, it has many health benefits like reducing risk of heart disease, diabetes, cancer, aiding in digestion, improving blood glucose control in people with diabetes, lowering blood pressure, and improving wound healing. With these big health benefits and with taken into consideration that it’s available at most times of the year. The farmers have to take care of this plant. Because of that we developed (...)
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  25. Peach Type Classification Using Deep Learning.Mohammed I. El-Kahlout & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):35-40.
    Abstract: Peach, (Prunus persica), fruit tree of the rose family (Rosaceae), grown throughout the warmer temperate regions of both the Northern and Southern hemispheres. Peaches are widely eaten fresh and are also baked in pies and cobblers; canned peaches are a staple commodity in many regions. Yellow-fleshed varieties are especially rich in vitamin A. Peach trees are relatively short-lived as compared with some other fruit trees. In some regions orchards are replanted after 8 to 10 years, while in others trees (...)
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  26.  67
    Grape Type Classification Using Deep Learning.Hosni Qasim El-Mashharawi, Samy S. Abu-Naser, Izzeddin A. Alshawwa & Mohammed Elkahlout - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):41-45.
    Abstract: A grape is a fruit, botanically a berry, of the deciduous woody vines of the flowering plant genus Vitis. it can be eaten fresh or they can be used for making jam, grape juice, jelly, grape seed extract, raisins, and grape seed oil. Grapes are a nonclimacteric type of fruit, generally occurring in clusters. Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. (...)
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  27. Parkinson’s Disease Prediction Using Artificial Neural Network.Ramzi M. Sadek, Salah A. Mohammed, Abdul Rahman K. Abunbehan, Abdul Karim H. Abdul Ghattas, Majed R. Badawi, Mohamed N. Mortaja, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (1):1-8.
    Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Doctors do not know what causes it and finds difficulty in early diagnosing the presence of Parkinson’s disease. An artificial neural network system with back propagation algorithm is presented in this paper for helping doctors in identifying (...)
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  28. Determinants of Organizational Justice and Their Relationship to Conscientious Behavior From the Point Of View of Officers Working In the Palestinian Police Force.Ahmed I. Alhussaina, Mohammed N. R. Abusamaan, Mazen J. Al-Shobaki, Suliman A. El Talla & Samy S. Abu-Naser - 2021 - International Journal of Academic Accounting, Finance and Management Research(IJAAFMR) 5 (2):67-88.
    Abstract: Purpose - This study aimed to analyze the relationship between the determinants of organizational justice and their relationship to conscientious behavior from the point of view of officers working in the Palestinian police in Gaza Strip. Methodology - The study relied on the descriptive and analytical approach, using the questionnaire, targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers. The study tool was distributed among the (...)
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  29. An Expert System for Depression Diagnosis.Izzeddin A. Alshawwa, Mohammed Elkahlout, Hosni Qasim El-Mashharawi & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):20-27.
    Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...)
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  30.  65
    Predicting the Age of Abalone From Physical Measurements Using Artificial Neural Network.Ghaida Riyad Mohammed, Jaffa Riad Abu Shbikah, Mohammed Majid Al-Zamili, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2020 - International Journal of Academic and Applied Research (IJAAR) 4 (11):7-12.
    Abalones have long been a valuable food source for humans in every area of the world where a species is abundant. Predicting the age of abalone is done using physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope -- a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age of abalone is using Artificial Neural Network (...)
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  31. Adaptive Intelligent Tutoring System for Learning Computer Theory.Mohammed A. Al-Nakhal & Samy S. Abu Naser - 2017 - EUROPEAN ACADEMIC RESEARCH 4 (10).
    In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to (...)
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  32.  84
    Knowledge Based System for Diabetes Diagnosis Using SL5 Object.Ibtesam M. Dheir, Alaa Soliman Abu Mettleq, Abeer A. Elsharif, Mohammed N. Abu Al-Qumboz & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (4):1-10.
    Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...)
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  33. Classification of Apple Fruits by Deep Learning.Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):1-7.
    Abstract: Apple is a plant species that follows the apple genus, which is a fruit because it contains seeds of the pink family. It is one of the most fruit trees in terms of agriculture. The apple tree is small in length from 3 to 12 meters. Several recent studies have shown many health benefits of apples. It helps with the strengthening of the brain, heart, and stomach. It is used in the treatment of joint pain and limberness. It is (...)
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  34.  93
    An Intelligent Tutoring System for Learning Computer Network CCNA.Izzeddin A. Alshawwa, Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):28-36.
    Abstract: Networking is one of the most important areas currently used for data transfer and enterprise management. It also includes the security aspect that enables us to protect our network to prevent hackers from accessing the organization's data. In this paper, we would like to learn what the network is and how it works. And what are the basics of the network since its emergence and know the mechanism of action components. After reading this paper - even if you do (...)
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  35. An Intelligent Tutoring System for Learning Java.Mohammed Al-Shawwa, Izzeddin A. Alshawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (1):1-6.
    Java is one of the most widely used languages in Desktop developing, Web Development and Mobile Development, so there are many lessons that explain its basics, so it should be an intelligent tutoring system that offers lessons and exercises for this language. Why tutoring system? Simply because it is one-one teacher, adapts with all the individual differences of students, begins gradually with students from easier to harder level, save time for teacher and student, the student is not ashamed to make (...)
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  36. Learning Computer Networks Using Intelligent Tutoring System.Mones M. Al-Hanjori, Mohammed Z. Shaath & Samy S. Abu Naser - 2017 - International Journal of Advanced Research and Development 2 (1).
    Intelligent Tutoring Systems (ITS) has a wide influence on the exchange rate, education, health, training, and educational programs. In this paper we describe an intelligent tutoring system that helps student study computer networks. The current ITS provides intelligent presentation of educational content appropriate for students, such as the degree of knowledge, the desired level of detail, assessment, student level, and familiarity with the subject. Our Intelligent tutoring system was developed using ITSB authoring tool for building ITS. A preliminary evaluation of (...)
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  37.  72
    Evolving Efficient Classification Patterns in Lymphography Using EasyNN.Ahmed Suhail Jaber, Ahmed Khalil Humid, Mohammed Ahmed Hussein & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (9):66-73.
    A neural network exploits the non-linearity of a problem to define a set of desired inputs. Neural networks are important in realizing a better way for classification in machine learning and finds application in various fields such as data mining, pattern recognition, forensics etc. In this paper, our focus is to classify of patient records obtained from clinical data. Feature selection is a supervised method that attempts to select a subset of the predictor features based on the information gain. The (...)
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  38.  71
    Hepatitis Expert System Diagnosis Using Sl5 Object.Abeer A. Elsharif, Mohammed Naji Abu Al-Qumboz, Izzeddin A. Alshawwa, Alaa Soliman AbuMettleq, Ibtesam M. Dheir & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (1):10-18.
    Background: Your liver is your body’s largest solid organ. This organ is vital to the body’s metabolic functions and immune system. Without a functioning liver, a person cannot survive. The liver’s position is mostly in the right upper portion of the stomach, just below the diaphragm. A portion of the liver goes into the left upper abdomen as well. There are many types of diseases that can affect the liver and its functions. Objectives: The main objective of this expert system (...)
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  39. A Proposed Expert System for Diagnosing Skin Cancer Using SL5 Object.Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 4 (3):1-9.
    Skin is considered the largest organ of the body, with a total area of about 20 square feet. The skin protects us from microbes and the elements, helps regulate body temperature, and permits the sensations of touch, heat, and cold. For a patient to recover from any illness or weakness that affects the skin, he/she requires an accurate diagnosis of his/her the situation. In this paper will present an expert system that quickly diagnosis patient’s condition and propose a suitable solution (...)
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  40.  52
    Managing the Design of Operations in Local NGOs in Gaza Strip.Rasha O. Owda, Maram Owda, Mohammed N. Abed, Samia A. M. Abdalmenem, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (7):37-47.
    The study aimed to identify the reality of the process design management in the local ngos in Gaza Strip. In order to achieve the objectives of the study and to test its hypotheses, the analytical descriptive method was used, relying on the questionnaire as the main tool for data collection. The study society is one of the decision makers in the local ngos in Gaza Strip. The study population consisted of 78 local ngos in Gaza Strip. The overall inventory of (...)
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  41.  35
    Determinants of Organizational Justice and Their Relationship to the Behavior of Sportsmanship and Civilized Behavior in the Palestinian Police.Mohammed N. R. Abusamaan, Mazen J. Al Shobaki, Suliman A. El Talla & Samy S. Abu-Naser - 2021 - International Journal of Academic Information Systems Research (IJAISR) 5 (3):49-71.
    Abstract: This study aimed to analyze the relationship between the determinants of organizational justice and the behavior of sportsmanship and civilized behavior from the viewpoint of the officers working in the Palestinian police in Gaza Strip. The study relied on the descriptive and analytical approach, using the questionnaire, targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers, and (353) questionnaires were retrieved, with a recovery rate of (...)
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  42.  55
    Perspective on Intelligent Assistive Devices in Rehabilitation.Mohamed Sabri Al Ijla & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (11):31-36.
    Abstract: Intelligent assistive devices have the potential of offering innovative solutions for the disabled and for the new generation of senior citizens. ‘e-Tools’ stands for Embedded Tools, as we aim to embed intelligent assistive devices in homes and other facilities, creating ambient intelligence environments to give support to patients and caregivers. In particular, we aim to explore the benefits of the concept of situated intelligence to build intelligent artifacts that will enhance the autonomy of the target group during their daily (...)
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  43. Intelligent Tutoring System Effectiveness for Water Knowledge and Awareness.Mohammed A. Hamed, Samy S. Abu-Naser & Khaldoun S. Abualhin - 2018 - International Journal of Academic Information Systems Research (IJAISR) 2 (4):18-34.
    Due to the tremendous progress in technology and the methods used in its application to facilitate and refine human's life, Intelligent Tutoring System was created to contribute in this era. In this study, the Intelligent Tutoring System was adopted as a platform in linking the complex Technological fields for obtaining information smoothly, and highlighting the importance of water issues and in the Gaza strip. In the light of the absence and inability of the formal education system to raise awareness of (...)
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  44. Impact of Applying Fraud Detection and Prevention Instruments in Reducing Occupational Fraud: Case Study: Ministry of Health (MOH) in Gaza Strip.Faris M. Abu Mouamer, Youssef M. Abu Amuna, Mohammed K. H. A. L. I. Khalil & Abedallh Aqel - 2020 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 4 (6):35-45.
    The study aimed to identify the effect of applying detection and prevention tools for career fraud in combating and preventing fraud and reducing its risks through an applied study on Palestinian Ministry of Health in Gaza Strip, Palestine. To achieve the objectives of the study, the researchers used the questionnaire as a main tool to collect data, and the descriptive and analytical approach to conducting the study. The study population consisted of (501) supervisory employees working at MOH in Gaza Strip, (...)
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  45. Banana Classification Using Deep Learning.Ahmed F. Al-Daour, Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (12):6-11.
    Abstract: Banana, fruit of the genus Musa, of the family Musaceae, one of the most important fruit crops of the world. The banana is grown in the tropics, and, though it is most widely consumed in those regions, it is valued worldwide for its flavour, nutritional value, and availability throughout the year. Cavendish, or dessert, bananas are most commonly eaten fresh, though they may be fried or mashed and chilled in pies or puddings. They may also be used to flavour (...)
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  46. An Expert System for Citrus Diseases Diagnosis.Mohammed Ibraheem El Kahlout & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (4):1-7.
    Background: Citrus, genus of plants belonging to the rue family (Rutaceae), and yielding pulpy fruits covered with fairly thick skins. Economically important plants in this group include the lemon (C. × limon), lime (C. × aurantiifolia), sweet orange (C. × sinensis), sour orange (C. × aurantium), tangerine (C. reticulata), grapefruit (C. x paradisi), citron (C. medica), and shaddock (C. maxima)[1]. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment by (...)
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  47.  70
    Silicosis Expert System Diagnosis and Treatment.Mohammed Ibraheem El Kahlout, Izzeddin A. Alshawwa, Hosni Qasim El-Mashharawi & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (5):1-8.
    Background Silicosis (particularly the acute form) is characterized by shortness of breath, cough, fever, and cyanosis (bluish skin). It may often be misdiagnosed as pulmonary edema (fluid in the lungs), pneumonia, or tuberculosis. Silicosis resulted in 46,000 deaths globally in 2013 down from 55,000 deaths in 1990. Objectives The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment by presenting suggestions on Silicosis disease to the user by asking about symptoms. Methods (...)
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  48. The Role of Policies and Procedures for the Electronic Document Management System in the Success of the Electronic Document Management System in the Palestinian Pension Agency.Mohammed Khair I. Kassab, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Multidisciplinary Research (IJAMR) 3 (1):43-57.
    The aim of the research is to identify the role of policies and procedures for the electronic document management system in the success of the electronic document management system in the Palestinian Pension Agency. In order to achieve the objectives of the study, the researchers used the analytical descriptive method in which the tries to describe the phenomenon studied, analyze its data, the relationship between its components and the opinions that are raised around it, and use the comprehensive inventory method (...)
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  49.  48
    Strategic Creativity in Islamic Banks in Palestine Between Reality and Implementation.S. Keshta Mohamed, A. El Talla Suliman, J. Al Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 4 (3):79-99.
    It aimed to identify the strategic creativity in Islamic banks in Palestine between reality and implementation. The study adopted the descriptive analytical approach. A questionnaire was designed as a tool for the study. The study community consisted of all employees in Islamic banks from the top and middle management and the study has been applied to the Palestinian Islamic bank and the Arab Islamic Bank. The comprehensive inventory method was used, given the small size of the study sample, as questionnaires (...)
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  50. Analyzing Types of Cherry Using Deep Learning.Izzeddin A. Alshawwa, Hosni Qasim El-Mashharawi, Mohammed Elkahlout, Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (1):1-5.
    A cherry is the fruit of many plants of the genus Prunus, and is a fleshy drupe (stone fruit), Michigan's Northwest Lower Peninsula is the largest producer of tart cherries in the United States. In fact, grow 75% of the country's variety of mighty Montmorency cherries. We use these Ruby Red Morsels of Joy in over 200 cherry products like Salsas, Chocolate Covered Cherries, Cherry Nut Mixes, and much more. Cherry fruits are rich in vitamins and minerals, and it is (...)
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