Year:

  1.  17
    Perceived Organizational Reputation and Its Impact on Achieving Strategic Innovation.Keshta S. Mohamed, El-Talla A. Suliman, J. Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (6):34-59.
    The study aimed to identify the perceived organizational reputation and its impact on achieving strategic creativity in Islamic banks, the study adopted the descriptive analytical approach, and a questionnaire was designed as a tool for the study, and the study community of all employees in Islamic banks from the top and middle management has been represented, and the study has been applied to The Palestinian Islamic Bank and the Arab Islamic Bank were used; the comprehensive inventory method was used, due (...)
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  2.  8
    The Effect of Choosing Strategic Goals and Core Capabilities on the Creative Behavior of Organizations.K. Hamdan Muhammad, A. El Talla Suliman, J. Al Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (4):54-76.
    Abstract: The study aimed to identify the impact of the choice of strategic goals and the core ability to the creative behavior of Palestinian NGOs, and the study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations operating in the governorates of Gaza Strip, and the cluster sample method was used and the sample size reached (343) individuals. (298) questionnaires were retrieved, and the following results were reached: The relative weight (...)
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  3.  13
    The Reality of Applying Recruitment Criteria for Coastal Municipalities Water Utility Company.R. Ahmad Husam, J. Al Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (3):31-53.
    Abstract: The research aimed to study the reality of applying the recruitment criteria in Coastal Municipalities Water Utility Company, and to achieve the study goals, the analytical descriptive approach was relied upon, and the main study tool was the questionnaire. The study sample consisted of (42) employees and employees in Coastal Municipalities Water Utility Company. The study reached a set of results, the most important of which was that the level of application of recruitment and employment policies and standards in (...)
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  4. 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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  5. 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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  6. Classifying Nuts Types Using Convolutional Neural Network.Ibtesam M. Dheir, Alaa Soliman Abu Mettleq, Abeer A. Elsharif & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (12):12-18.
    Abstract: Nuts are nutrient-dense foods with complex matrices rich in unsaturated fatty and other bioactive compounds. By virtue of their unique composition, all types of nuts are likely to beneficially impact health outcomes. In this paper, we classified five types of Nuts with a dataset that contains 2868 images. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used for this task. The trained model achieved an accuracy of 98% on a held-out test set, (...)
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  7.  30
    ANN for Diagnosing Autism Spectrum Disorder.Mohammad Nassar - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (12):12-17.
    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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  8. ANN for Predicting Mobile Phone Price Range.Fatthy Khillha & Nassar Shawwa - 2020 - 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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