Results for 'Sami Al Najjar'

977 found
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  1. Books’ Rating Prediction Using Just Neural Network.Alaa Mazen Maghari, Iman Ali Al-Najjar, Said Jamil Al-Laqtah & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (10):17-22.
    Abstract: The aim behind analyzing the Goodreads dataset is to get a fair idea about the relationships between the multiple attributes a book might have, such as: the aggregate rating of each book, the trend of the authors over the years and books with numerous languages. With over a hundred thousand ratings, there are books which just tend to become popular as each day seems to pass. We proposed an Artificial Neural Network (ANN) model for predicting the overall rating of (...)
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  2. The Reality of Digital Transformation in Non-Governmental Organizations in Palestine.Mahmoud T. Al Najjar, Mazen J. Al Shobaki & Suliman A. El Talla, - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (6):80-95.
    The study aimed to identify the digital transformation in Non-Governmental Organizations in Palestine, and the study used the descriptive analytical approach, and a structured questionnaire was used to collect data that contribute to achieving the objectives of the study, and the study population consists of employees in Non-Governmental Organizations in the southern Palestinian governorates, and a random sample was used to collect Data where (183) applicable questionnaires were retrieved. The results of the study showed that the general assessment of digital (...)
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  3. Institutional Competence in Non-Governmental Organizations in Palestine between Reality and Hope.Mahmoud T. Al Najjar, Mazen J. Al Shobaki & Suliman A. El Talla - 2023 - International Journal of Academic Accounting, Finance and Management Research(IJAAFMR) 7 (6):1-9.
    The study aimed to identify the level of institutional competence in Non-Governmental Organizations in Palestine. The study used the descriptive analytical approach. A structured questionnaire was used to collect data that contribute to achieving the objectives of the study. The study population consists of employees in Non-Governmental Organizations in the southern Palestinian governorates, and a random sample was used. For data collection, (183) applicable questionnaires were retrieved. The results of the study showed that the general assessment of the level of (...)
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  4. The Reality of Digital Transformation in the Palestinian Ministry of Interior and National Security.Mahmoud T. Al Najjar, Mazen J. Al Shobaki & Suliman A. El Talla - 2022 - International Journal of Academic Management Science Research (IJAMSR) 6 (11):148-165.
    This study aimed to identify the reality of digital transformation in the Palestinian Ministry of Interior and National Security from the point of view of workers in computer and information technology units. ) employees, and the study tool (the questionnaire) was distributed, and the comprehensive survey method was used, where (61) questionnaires were retrieved with a percentage of (87.1%), and they were unloaded and analyzed using the statistical packages SPSS. The study reached several results, including: The availability of dimensions of (...)
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  5. Leadership and Its Impact on Achieving Organizational Justice in Palestinian Relief Organizations.Mahmoud Al Najjar, Mazen J. Al Shobaki & Suliman El Talla - 2022 - International Journal of Academic Management Science Research (IJAMSR) 6 (9):207-231.
    The study aimed to identify the impact of leadership style in achieving organizational justice on relief organizations operating in the southern governorates - Palestine, and the most important hypotheses of the study were: that there is a positive correlation between leadership style and achieving organizational justice. Which contribute to achieving the objectives of the study, and the study population consisted of Employees in relief organizations, and a stratified random sample was used to collect data from 60 relief institutions. The study (...)
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  6. The Internal Factors of Process Re-Engineering and Its Impact on Achieving Organizational Justice in Relief Organizations.Mahmoud T. Al Najjar, Mazen J. Al Shobaki & Suliman A. El Talla - 2022 - International Journal of Academic Accounting, Finance and Management Research(IJAAFMR) 6 (9):80-104.
    The study aimed to identify the impact of the internal factors of process re-engineering in achieving organizational justice on relief organizations operating in the southern governorates - Palestine. Analytical, and a questionnaire was used to collect information that contributes to achieving the objectives of the study, and the study population consisted of employees in relief organizations, and a stratified random sample was used to collect data from 60 relief institutions. The study showed that the general estimate of the internal factors (...)
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  7. The Level of Creativity among NGOs Organizations in Palestine.Mahmoud T. Al Najjar, Mazen J. Al Shobaki & Suliman A. El Talla - 2022 - International Journal of Academic Accounting, Finance and Management Research(IJAAFMR) 6 (12):69-82.
    The study aimed to identify the level of creativity among NGOs Organizations in Palestine. The study used the descriptive analytical approach. A structured questionnaire was used to collect data that contribute to achieving the objectives of the study. The study population consists of workers in civil organizations, and a random sample was used to collect data, as 222 applicable questionnaires were retrieved. The results of the study showed that the level of creativity was high with a relative weight of (78.07%). (...)
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  8. The Extent of Cyber Security Application at the Ministry Of Interior and National Security in Palestine.Mahmoud T. Al Najjar, Mazen J. Al Shobaki & Suliman A. El Talla - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (11):9-43.
    This study aimed to identify the extent of the application of Cyber Security at the Ministry of Interior and National Security from the point of view of workers in the computer and information technology units. 70 employees, and the study tool (questionnaire) was distributed, and the comprehensive survey method was used, as (61) questionnaires were retrieved at a rate of (87.1%), and they were unloaded and analyzed using the SPSS statistical package. The study reached several results, including: There was a (...)
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  9. Organizational Justice in Palestinian Relief Organizations.Mahmoud T. Al Najjar, Al Shobaki Mazen & Suliman A. El Talla - 2022 - International Journal of Academic Multidisciplinary Research (IJAMR) 6 (8):221-236.
    The study aimed to identify the level of organizational justice in relief organizations operating in the southern governorates - Palestine. The study used the descriptive analytical method، and the questionnaire was used to collect information that contributes to achieving the objectives of the study، and the study population consisted of workers in relief organizations، and a stratified random sample was used to collect data from 60 relief institutions. The study showed that the relative weight of organizational justice was 82.2%. Where (...)
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  10. The Availability of Governance Requirements in Non-Governmental Organizations in Palestine.Suliman A. El Talla, Mahmoud T. Al Najjar & Mazen J. Al Shobaki - 2023 - International Journal of Academic Management Science Research (IJAMSR) 7 (6):103-111.
    The study aimed to identify the availability of governance requirements in NGOs in the southern Palestinian governorates. The study used the descriptive analytical approach. A structured questionnaire was used to collect data that contribute to the requirements of the study objectives. The study population consists of employees in NGOs in the southern Palestinian governorates. The use of a random sample to collect data from the study population, where the sample amounted to (184) individuals, and the results of the study showed (...)
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  11. Management and Development of Human Resources for Graduates Registered In the Palestinian Ministry of Labor between Reality and Hope.Suliman A. El Talla, Mahmoud T. Al Najjar & Mazen J. Al Shobaki - 2023 - International Journal of Academic Management Science Research (IJAMSR) 7 (6):33-42.
    The study aimed to identify the reality of management and development of human resources among graduates registered with the Palestinian Ministry of Labor. The study used the descriptive analytical approach. A structured questionnaire was used to collect data that contribute to achieving the objectives of the study. The study population consists of university graduates in the southern Palestinian governorates who are registered with the Ministry of Labor. Palestinian labor force, and a random sample was used to collect data, as the (...)
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  12. The Reality of Intellectual Capital among NGOs Organizations in Palestine.Mazen J. Al Shobaki, Mahmoud T. Al Najjar & Suliman A. El Talla - 2022 - International Journal of Academic Management Science Research (IJAMSR) 6 (12):87-100.
    The study aimed to identify the reality of intellectual capital among NGOs Organizations in Palestine. The study used the descriptive analytical approach. A structured questionnaire was used to collect data that contribute to achieving the objectives of the study. The study population consists of workers in NGOs Organizations. A random sample was used to collect data. 222 applicable questionnaires were retrieved. The results of the study showed that the general estimate for intellectual capital amounted to 79.84%, and the results showed (...)
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  13. The Level of Using Artificial Intelligence Applications as a Modern Trend among Training Institutions in Palestine.Mazen J. Al Shobaki, Suliman A. El Talla & Mahmoud T. Al Najjar - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (7):36-48.
    The study aimed to identify the reality of the use of artificial intelligence applications as a modern trend among training institutions in the southern Palestinian governorates. The study used the descriptive analytical method. The southern Palestinian governorates, and the random sample was used to collect data, as (90) applicable questionnaires were retrieved. The results of the study showed that the general estimate of artificial intelligence applications reached (83.63%), and that the order of areas of artificial intelligence applications is as follows (...)
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  14. The Level of Enhancing the Competitive Advantage of Training Institutions in Palestine.Mazen J. Al Shobaki, Suliman A. El Talla & Mahmoud T. Al Najjar - 2023 - International Journal of Academic Management Science Research (IJAMSR) 7 (7):96-104.
    :The study aimed to identify the level of enhancing the competitive advantage of training institutions in Palestine. The study used the descriptive analytical approach. A structured questionnaire was used to collect data that contribute to achieving the objectives of the study. The study population consists of workers in training institutions operating in the southern Palestinian governorates. The random sample for data collection, where (90) applicable questionnaires were retrieved. The results of the study showed that the general estimate for the competitive (...)
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  15. The Level of Business Intelligence in Non-Governmental Organizations in Palestine.Mazen J. Al Shobaki, Suliman A. El Talla & Mahmoud T. Al Najjar - 2023 - International Journal of Academic Multidisciplinary Research (IJAMR) 7 (6):08-220.
    The study aimed to identify the level of business intelligence in its dimensions (data reliability, information technology, competitive intelligence, analytical ability, business management performance, immediate analytical processing) in NGOs in the southern Palestinian governorates. The study used the analytical descriptive approach, and a structured questionnaire was used to collect data. Which contribute to the development of the objectives of the study, and the study population consists of employees in Non-Governmental Organizations in the southern Palestinian governorates, and a random sample was (...)
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  16. Digital Transformation and Its Impact on the Application of Cyber Security in the Ministry Of Interior and National Security in Palestine.Mazen J. Al Shobaki, Suliman A. El Talla & Mahmoud T. Al Najjar - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (11):92-115.
    This study aimed to identify the digital transformation and its impact on the application of Cyber Security in the Palestinian Ministry of Interior and National Security. The study used the analytical descriptive approach. The study tool (questionnaire), and the comprehensive survey method was used, where (61) questionnaires were retrieved (87.1%), and they were unloaded and analyzed using the SPSS statistical package. The study found several results, including that there is a statistically significant correlation between all dimensions of Digital transformation and (...)
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  17. Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  18. Knowledge Based System for Diagnosing Custard Apple Diseases and Treatment.Mustafa M. K. Al-Ghoul, Mohammed H. S. Abueleiwa, Fadi E. S. Harara, Samir Okasha & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (5):41-45.
    There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...)
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  19. The Role of the Practice of Excellence Strategies in Education to Achieve Sustainable Competitive Advantage to Institutions of Higher Education-Faculty of Engineering and Information Technology at Al-Azhar University in Gaza a Model.Mazen J. Al Shobaki & Samy S. Abu Naser - 2017 - International Journal of Digital Publication Technology 1 (2):135-157.
    This study aims to look at the role of the practice of excellence strategies in education in achieving sustainable competitive advantage for the Higher educational institutions of the faculty of Engineering and Information Technology at Al-Azhar University in Gaza, a model, and the study considered the competitive advantage of educational institutions stems from the impact on the level of each student, employee, and the institution. The study was based on the premise that the development of strategies for excellence in education, (...)
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  20. Usage Degree of the Capabilities of DSS in Al-Aqsa University of Gaza.Mazen J. Al-Shobaki & Samy S. Abu-Naser - 2017 - International Journal of Engineering and Information Systems (IJEAIS) 1 (2):33-47.
    Abstract— This study aimed to identify the degree of use of the capabilities of decision-support systems in Palestinian institutions higher education, Aqsa University in Gaza - a case study. The study used a analytical descriptive approach, and the researchers used the of questionnaire tool to collect the data, the researchers using stratified random sample distributed (150) questioners to the study population and (126) was obtained back with rate of 84%. The study showed that the most important results are: that senior (...)
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  21. Predictive Modeling of Smoke Potential Using Neural Networks and Environmental Data.Abu Al-Reesh Kamal Ali, Al-Safadi Muhammad Nidal, Al-Tanani Waleed Sami & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (9):38-46.
    This study presents a neural network-based model for predicting smoke potential in a specific area using a Kaggle-derived dataset with 15 environmental features and 62,631 samples. Our five-layer neural network achieved an accuracy of 89.14% and an average error of 0.000715, demonstrating its effectiveness. Key influential features, including temperature, humidity, crude ethanol, pressure, NC1.0, NC2.5, SCNT, and PM2.5, were identified, providing insights into smoke occurrence. This research aids in proactive smoke mitigation and public health protection. The model's accuracy and feature (...)
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  22. An expert system for nausea and vomiting problems in infants and children.Samy S. Abu Naser & Abed ELhaleem A. El-Najjar - 2016 - International Journal of Medicine Research 1 (2):114--117.
    Infants and children are suffering from a lots of nausea and vomiting problems. Doctors, usually face various difficulties dealing with these problems because of their similarities. In this paper, we present an expert system to help users in getting the correct diagnosis of problems of nausea and vomiting in infants and children (Gastro-esophageal reflux, Gastroenteritis, Systemic Infection, Bowel obstruction, Tumors, A bleeding disease, tonsillitis, and Hepatitis pharynx). Furthermore, this expert system provide information about the disease and how to deal with (...)
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  23. An expert system for men genital problems diagnosis and treatment.Samy S. Abu Naser & Mones M. Al-Hanjori - 2016 - International Journal of Medicine Research 1 (2):83--86.
    Male genital problems and injuries may occur quite simply because of the scrotum and penis are not protected like other organs. Genital problems and injuries normally happen through: recreational activities (like Football, Hooky, biking, basketball), workrelated tasks (like contact to irritating chemicals), downhill drop, and sexual activity. A genital injury frequently causes harsh pain that typically disappear fast without causing enduring harm. Home handling is generally all that is required for trivial problems or injuries. Pain, inflammation, staining, or rashes that (...)
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  24. 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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  25. Papaya Maturity Classifications using Deep Convolutional Neural Networks.Marah M. Al-Masawabe, Lamis F. Samhan, Amjad H. AlFarra, Yasmeen E. Aslem & Samy S. Abu-Naser - 2021 - International Journal of Engineering and Information Systems (IJEAIS) 5 (12):60-67.
    Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...)
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  26. An Intelligent Tutoring System for Health Problems Related To Addiction of Video Game Playing.Mohran H. Al-Bayed & Samy S. Abu Naser - 2017 - International Journal of Advanced Scientific Research 2 (1):4-10.
    Lately in the past couple of years, there are an increasing in the normal rate of playing computer games or video games compared to the E-learning content that are introduced for the safety of our children, and the impact of the video game addictiveness that ranges from (Musculoskeletal issues, Vision problems and Obesity). Furthermore, this paper introduce an intelligent tutoring system for both parent and their children for enhancement the experience of gaming and tell us about the health problems and (...)
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  27. Strategic and Operational Planning As Approach for Crises Management Field Study on UNRWA.Mazen J. Al Shobaki, Youssef M. Abu Amuna & Samy S. Abu Naser - 2017 - International Journal of Information Technology and Electrical Engineering 5 (6):43-47.
    The research aims to study the role of strategic and operational planning as approach for crises management in UNRWA - Gaza Strip field- Palestine. Several descriptive analytical methods were used for this purpose and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that strategic and operational planning is performed in UNRWA. The results of static analysis show that there are a (...)
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  28. Design and Development of an Intelligent Tutoring System for C# Language.Bashar G. Al-Bastami & Samy S. Abu Naser - 2017 - European Academic Research 4 (10).
    Learning programming is thought to be troublesome. One doable reason why students don’t do well in programming is expounded to the very fact that traditional way of learning within the lecture hall adds more stress on students in understanding the Material rather than applying the Material to a true application. For a few students, this teaching model might not catch their interest. As a result, they'll not offer their best effort to grasp the Material given. Seeing however the information is (...)
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  29. A Knowledge Based System for Cucumber Diseases Diagnosis.Nora J. H. Al-Saloul, Hadeel A. El-Hamarnah, Ola I. A. LAfi, Hanan I. A. Radwan & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (5):29-45.
    The cucumber is a creeping vine that roots in the ground and grows up trellises or other supporting frames, wrapping around supports with thin, spiraling tendrils. The plant may also root in a soilless medium, whereby it will sprawl along the ground in lieu of a supporting structure. The vine has large leaves that form a canopy over the fruits. Among these common diseases, we single out the diseases that affect the cucumber, which is affected by about 22 diseases, with (...)
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  30. Developing an Expert System to Diagnose Tomato Diseases.Mohanad H. Al-Qadi, Mohammed F. El-Habibi, Mosa M. M. Megdad, Mohammed J. A. AlQatrawi, Raed Z. Sababa & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (5):34-40.
    There is no doubt that tomato diseases are one of the important reasons that destroy the tomato plant and its crops. This leads to clear damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help to avoid damage to these plants. The expert system diagnoses tomato disease correctly to facilitate farmers (...)
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  31. 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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  32. Learning Organizations and Their Role in Achieving Organizational Excellence in the Palestinian Universities.Mazen J. Al Shobaki, Samy S. Abu Naser, Youssef M. Abu Amuna & Amal A. Al Hila - 2017 - International Journal of Digital Publication Technology 1 (2):40-85.
    The research aims to identify the learning organizations and their role in achieving organizational excellence in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) workers from the Palestinian universities was selected and the recovery rate (...)
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  33. Decision support systems and its role in developing the universities strategic management: Islamic university in Gaza as a case study.Mazen J. Al Shobaki & Samy S. Abu Naser - 2016 - International Journal of Advanced Research and Development 1 (10):33-47.
    This paper aims to identify the decision support systems and their role on the strategic management development in the Universities- Case Study: Islamic University of Gaza. The descriptive approach was used where a questionnaire was developed and distributed to a stratified random sample. (230) questionnaires were distributed and (204) were returned with response rate (88.7%). The most important findings of the study: The presence of a statistically significant positive correlation between the decision support systems and strategic management in the Islamic (...)
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  34. 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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  35. Smoke Detectors Using ANN.Marwan R. M. Al-Rayes & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):1-9.
    Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...)
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  36. The impact of top management support for strategic planning on crisis management: Case study on UNRWA-Gaza Strip.Mazen J. Al Shobaki, Youssef M. Abu Amuna & Samy S. Abu Naser - 2016 - International Journal of Academic Research and Development 1 (10):20-25.
    The study aims to analyze the impact of top management support for strategic planning on crisis management in UNRWA-Gaza Strip field in Palestine. Several descriptive analytical methods were used for this purpose, and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that top management provides needed HR for strategic planning but with no financial support. Also there are shortcomings in the (...)
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  37. The reality of modern methods applied in process of performance assessments of employees in the municipalities in Gaza Strip.Mazen J. Al Shobaki & Samy S. Abu Naser - 2016 - International Journal of Advanced Scientific Research 1 (7):14-23.
    The research aims to identify the reality of modern methods applied in the process of performance assessments of employees in the municipalities of Gaza-strip, Complete Census method of community study was used, (571) questionnaires were distributed to all members of the community study, (524) questionnaires were recovery with rate of (91.76%). The most important findings of the study: There were statistically significant relationship differences between the applications of modern methods in the performance assessments of employees in the municipalities of Gaza-strip. (...)
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  38. The effectiveness of a training program in increasing crowd funding awareness.Suliman A. El Talla, Mazen J. Al Shobaki, Samy S. Abu Naser & Youssef M. Abu Amuna - 2017 - International Journal of Advanced Educational Research 2 (1):31-37.
    The current study tries to verify the effectiveness of a training program in increasing Crowdfunding awareness. The sample was (50) students in CIS, who were purposively selected and distributed equally into a treatment and control group. The researchers designed the study tools (a training program to increase Crowdfunding awareness). The study findings revealed the existence of statistically significant differences between the treatment and control groups in favor of the former. Furthermore, there were statistically significant differences between the pre and the (...)
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  39. The Level of Promotion of Entrepreneurship in Technical Colleges in Palestine.Mazen J. Al Shobaki, Samy S. Abu-Naser, Youssef M. Abu Amuna & Suliman A. El Talla - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (1):168-189.
    The study aimed to identify the level of promotion of entrepreneurship in the technical colleges in Palestine. The analytical descriptive method was used in the study. A questionnaire of 41 items was randomly distributed to the technical colleges in the Gaza Strip. The random sample consisted of (275) employees from the mentioned colleges, and the response rate were (74.5%). The results of the study showed that the technical colleges achieved a high level of promotion of entrepreneurship with a relative weight (...)
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  40. The Impact of Management Requirements and Operations of Computerized Management Information Systems to Improve Performance (Practical Study on the employees of the company of Gaza Electricity Distribution).Samy S. Abu Naser & Mazen J. Al Shobaki - 2016 - Al-Azhar University, Gaza 1 (1):1-28.
    The research aims to identify the impact of the management requirements on operating of computerized management information systems to improve performance, and discuss the perceptions of respondents to develop the performance of employees in the Gaza Electricity Distribution Company, the researchers used the stratified sample method, (360) questionnaires were distributed on the study sample, (306) questionnaires were recoved with a percentage of (85%). The most important findings of the study: computerized MI have a positive impact on the development of performance (...)
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  41. Predicting Heart Disease using Neural Networks.Ahmed Muhammad Haider Al-Sharif & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):40-46.
    Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary classification, identifying the (...)
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  42. Measuring knowledge management maturity at HEI to enhance performance-an empirical study at Al-Azhar University in Palestine.Samy S. Abu Naser, Mazen J. Al Shobaki & Youssef M. Abu Amuna - 2016 - International Journal of Commerce and Management Research 2 (5):55-62.
    This paper aims to assess knowledge management maturity at HEI to determine the most effecting variables on knowledge management that enhance the total performance of the organization. This study was applied on Al-Azhar University in Gaza strip, Palestine. This paper depends on Asian productivity organization model that used to assess KM maturity. Second dimension assess high performance was developed by the authors. The controlled sample was (364). Several statistical tools were used for data analysis and hypotheses testing, including reliability Correlation (...)
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  43. The Reality of the Application of e-DMS in Governmental Institutions - an Empirical Study on the PPA.Mazen J. Al-Shobaki, Samy S. Abu-Naser & Mohammed Khair I. Kassab - 2017 - International Journal of Engineering and Information Systems 1 (2):1-14.
    The research aims to identify the status of the application of electronic document management system in governmental institutions – the study was applied on the Palestinian Pension Agency. The population of this study is composed of all employees in the Palestinian Pension Agency. In order to achieve the objectives of the study, the researchers used the descriptive and analytical approach, through which try to describe the phenomenon of the subject of the study, analyze the data and the relationship between the (...)
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  44. Neural Network-Based Water Quality Prediction.Mohammed Ashraf Al-Madhoun & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):25-31.
    Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water quality (...)
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  45. Chances of Survival in the Titanic using ANN.Udai Hamed Saeed Al-Hayik & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):17-21.
    Abstract: The sinking of the RMS Titanic in 1912 remains a poignant historical event that continues to captivate our collective imagination. In this research paper, we delve into the realm of data-driven analysis by applying Artificial Neural Networks (ANNs) to predict the chances of survival for passengers aboard the Titanic. Our study leverages a comprehensive dataset encompassing passenger information, demographics, and cabin class, providing a unique opportunity to explore the complex interplay of factors influencing survival outcomes. Our ANN-based predictive model (...)
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  46. Neural Network-Based Audit Risk Prediction: A Comprehensive Study.Saif al-Din Yusuf Al-Hayik & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):43-51.
    Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...)
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  47. Using Deep Learning to Classify Corn Diseases.Mohanad H. Al-Qadi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems (Ijaisr) 8 (4):81-88.
    Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...)
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  48. The Degree of Administrative Transparency in the Palestinian HEI.Mazen J. Al-Shobaki, Samy S. Abu-Naser & Tarek M. Ammar - 2017 - International Journal of Engineering and Information Systems (IJEAIS) 1 (2):35-52.
    Abstract - The aim of the study is to identify the degree of administrative transparency in the Palestinian higher educational institutions in the Gaza Strip. In the study, the researchers adopted a descriptive and analytical method. The research population consisted of administrative staff, whether academic or administrative, except for those in senior management or the university council. The study population reached 392 employees. A random sample was selected (197). The number of questionnaires recovered was (160) with a recovery rate of (...)
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  49. Forecasting COVID-19 cases Using ANN.Ibrahim Sufyan Al-Baghdadi & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):22-31.
    Abstract: The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, necessitating accurate and timely forecasting of cases for effective mitigation strategies. In this research paper, we present a novel approach to predict COVID-19 cases using Artificial Neural Networks (ANNs), harnessing the power of machine learning for epidemiological forecasting. Our ANNs-based forecasting model has demonstrated remarkable efficacy, achieving an impressive accuracy rate of 97.87%. This achievement underscores the potential of ANNs in providing precise and data-driven insights into the dynamics (...)
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  50. The Requirements of Computerized Management Information Systems and Their Role in Improving the Quality of Administrative Decisions in the Palestinian Ministry of Education and Higher Education.Mazen J. Al Shobaki & Samy S. Abu-Naser - 2017 - International Journal of Information Technology and Electrical Engineering 6 (6):7-35.
    The purpose of this study is to identify the requirements of computerized Management Information Systems and their role in improving the quality of administrative decisions in the Palestinian Ministry of Education and Higher Education. The authors used the descriptive analytical method and the questionnaire method to collect the data. (247) questionnaires were distributed on the study sample and (175) questionnaires were collected back with a recovery rate of (70.8). The study showed a number of results, the most important of which (...)
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