Results for 'Wael Soliman'

9 found
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  1. The Reality of Spreading the Culture of Entrepreneurship and Proposals for Activating It (An Applied Study on the University of Al-Azhar in Gaza).Wael M. Thabet, Yousef Shafeeq Abusultan, Riyad Awad Diab, Adnan Atiah Alajrami & Samy S. Abu-Naser - 2023 - International Journal of Academic Management Science Research (IJAMSR) 7 (6):43-63.
    The study aimed to investigate the reality of spreading the culture of entrepreneurship at Al-Azhar University from the point of view of students of the Faculty of Engineering and Information Technology and diagnose the most important obstacles that limit its activation. The researchers used the descriptive approach (survey) to achieve the objectives of the study, and relied on the questionnaire as a tool for applied study. The study concluded that: The reality of spreading the culture of entrepreneurship at Al-Azhar University (...)
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  2. The role of electroencephalogram in childhood neurological disorders.Wael Hayel Khreisat - 2012 - European Journal of Therapeutics 18 (1):7-10.
    The aim of this study was to obtain a baseline for clinical application of electroencephalography (EEG) in children and to evaluate the EEG findings in children with various acute and chronic central nervous system disorders and nonepileptic events. EEG records of 250 patients were studied in Neurophysiology Departments of Queen Rania Al-Abdullah Hospital for Children in Jordan. For each patient who had undergone EEG the following data were recorded: age, sex, source of referral (inpatient or outpatient department), reason for EEG, (...)
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  3. The Integrated Information Theory facing the Hard problem of consciousness.Wael Basille - 2020 - Dissertation, Sorbonne Université
    The Integrated Information Theory (IIT) formulated for the first time in 2004 by the neuroscientist Giulio Tononi, is a theoretical framework aiming to scientifically explain phenomenal consciousness. The IIT is presented in the first part of this work. Broadly speaking, integrated information is an abstract quantitative measure of the causal power a system has on itself. The main claim of IIT is the identity between informational structures and experience. The nature of this identity will be the subject of the second (...)
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  4. The problem of artificial qualia.Wael Basille - 2021 - Dissertation, Sorbonne Université
    Is it possible to build a conscious machine, an artifact that has qualitative experiences such as feeling pain, seeing the redness of a flower or enjoying the taste of coffee ? What makes such experiences conscious is their phenomenal character: it is like something to have such experiences. In contemporary philosophy of mind, the question of the qualitative aspect of conscious experiences is often addressed in terms of qualia. In a pre-theoretical and intuitive sense, qualia refer to the phenomenal character (...)
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  5. Potato Classification Using Deep Learning.Abeer A. Elsharif, Ibtesam M. Dheir, Alaa Soliman Abu Mettleq & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):1-8.
    Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...)
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  6. Machine Learning-Based Diabetes Prediction: Feature Analysis and Model Assessment.Fares Wael Al-Gharabawi & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):10-17.
    This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed to enhance (...)
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  7. 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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  8. Navigating the Ethical Landscape of Artificial Intelligence: Challenges and Solutions.Alaa N. Akkila, Mohammed A. Alkahlout, Suheir H. ALmurshid, Alaa Soliman Abu Mettleq, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Engineering and Information Systems (IJEAIS) 8 (8):68-73.
    Abstract: As artificial intelligence (AI) technologies become increasingly integrated into various sectors, ethical considerations surrounding their development and deployment have become paramount. This paper explores the multifaceted ethical landscape of AI, focusing on key challenges such as bias, transparency, privacy, and accountability. It examines how these issues manifest in AI systems and their impact on society. The paper also evaluates current approaches and solutions aimed at mitigating these ethical concerns, including regulatory frameworks, ethical guidelines, and best practices for AI design. (...)
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  9. The Impact of the Strategic Orientations on Crisis Management Agency, International Relief in Gaza.Mazen J. Al Shobaki, Youssef M. Abu Amuna & Wael Badah - 2016 - Al-Azhar University, Gaza:1-34.
    The research aims to identify the impact of the strategic orientations (Vision, Mission, goals) on crisis management agency, international relief in Gaza, the researchers used the descriptive and analytical approach and a survey for collection data, amounted to community size (881), and the study sample (268), and the sample was a stratified random. SPSS program used for entry, processing and analysis of data. The most important findings of the study: The results showed that the organization develop a clearly written vision, (...)
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