Results for 'Alaa Mansour Zalata'

27 found
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  1. Proposed Expert System for Calculating Inheritance in Islam.Alaa N. Akkila & Samy S. Abu Naser - 2016 - World Wide Journal of Multidisciplinary Research and Development 2 (9):38-48.
    The truth of every human being is the end his life with death, and this leads to leaving assets and funds for those after him and can lead to hate between the heirs, it has made a point of Islamic law on all aspects of life, including the subject of the inheritance of the deceased. The main problem is how to get the knowledge of the basics of inheritance. This paper reviews work done in the use of expert system software (...)
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  2. Teaching the Right Letter Pronunciation in Reciting the Holy Quran Using Intelligent Tutoring System.Alaa N. Akkila & Samy S. Abu Naser - 2017 - International Journal of Advanced Research and Development 2 (1):64-68.
    An Intelligent Tutoring System (ITS) is a computer system that offers an instant, adapted instruction and customized feedback to students without human teacher interference. Reciting "Tajweed" the Holy Quran in the appropriate way is very important for all Muslims and is obligatory in Islamic devotions such as prayers. In this paper, the researchers introduce an intelligent tutoring system for teaching Reciting "Tajweed". Our "Tajweed" tutoring system is limited to "Tafkhim and Tarqiq in TAJWEED" the Holy Quran, Rewaya: Hafs from ‘Aasem. (...)
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  3. Developing an Expert System to Diagnose Malaria.Alaa N. N. Qaoud & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (6):9-18.
    Malaria is a life-threatening disease spread to humans by some types of mosquitoes. It is mostly found in tropical countries. It is preventable and curable. The infection is caused by a parasite and does not spread from person to person. Symptoms can be mild or life-threatening. Mild symptoms are fever, chills and headache. Severe symptoms include fatigue, confusion, seizures, and difficulty breathing. Infants, children under 5 years, pregnant women, travelers and people with HIV or AIDS are at higher risk of (...)
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  4. Knowledge Based System for the Diagnosis of Dengue Disease.Aysha I. Mansour & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):12-19.
    Background: Dengue Disease is a mosquito-borne tropical disease caused by the dengue virus, symptoms typically begin three to fourteen days after infection. This may include a high fever, headache, vomiting, muscle and joint pains, and a characteristic skin rash. Dengue serology is applied in different settings, such as for surveillance, in health care facilities in endemic areas and in travel clinics in non-endemic areas. The applicability and quality of serological tests in dengue endemic regions has to be judged against a (...)
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  5. Diagnosis of Pneumonia Using Deep Learning.Alaa M. A. Barhoom & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (2):48-68.
    Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is a technique used (...)
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  6. Predicting Life Expectancy in Diverse Countries Using Neural Networks: Insights and Implications.Alaa Mohammed Dawoud & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):45-54.
    Life expectancy prediction, a pivotal facet of public health and policy formulation, has witnessed remarkable advancements owing to the integration of neural network models and comprehensive datasets. In this research, we present an innovative approach to forecasting life expectancy in diverse countries. Leveraging a neural network architecture, our model was trained on a dataset comprising 22 distinct features, acquired from Kaggle, and encompassing key health indicators, socioeconomic metrics, and cultural attributes. The model demonstrated exceptional predictive accuracy, attaining an impressive 99.27% (...)
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  7. Classification of Age and Gender Using ResNet - Deep Learning.Aysha I. Mansour & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (8):20-29.
    Age and gender classification has become relevant to an increasing amount of applications, particularly since the rise of social platforms and social media. Even Nevertheless, contrast to the large performance improvements recently reported for the closely related task of audio. In this research, we show that performance on these tasks can be significantly improved by learning representations using deep convolutional neural networks (CNN). where we get in the ResNet the training accuracy was 98% ,validation accuracy 95%, testing accuracy 96% .Testing (...)
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  8. Rules of Tajweed the Holy Quran Intelligent Tutoring System.Alaa N. Akkila & Samy S. Abu-Naser - 2018 - International Journal of Academic Pedagogical Research (IJAPR) 2 (3):7-20.
    Undeniably, the greatest way for a Moslem to be closer to Allah, is recitation of Holy-Quran approves with the method conveyed from Messenger of Allah Mohammed from the feature of speech points of letters and the intrinsic and fleeting characteristics of the letters, So, there is a persistent need to teach all Moslems the science of Tajweed Al-Quran. ITS (Intelligent Tutoring System) is computer software that supplies direct and tailored training or response to students without human teacher interfering. The main (...)
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  9. Energy Efficiency Prediction using Artificial Neural Network.Ahmed J. Khalil, Alaa M. Barhoom, Bassem S. Abu-Nasser, Musleh M. Musleh & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (9):1-7.
    Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a (...)
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  10. 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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  11. 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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  12. Age and Gender Classification Using Deep Learning - VGG16.Aysha I. Mansour & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (7):50-59.
    Abstract: Age and gender classification has been around for a long time, and efforts are still being made to improve the findings. This has been the case since the inception of social media platforms. Visible understanding has become more important in the computer vision society with the emergence of AI increase in performance and help train a model to achieve age and gender classification. Although these networks built for the mobile platform are not always as accurate as the larger, more (...)
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  13. 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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  14. Teaching the right letter pronunciation in reciting the holy Quran using ITS.Alaa Akila & Massoud Agha - 2017 - International Journal of Advanced Research and Development 2 (1):64-69.
    An Intelligent Tutoring System (ITS) is a computer system that offers an instant, adapted instruction and customized feedback to students without human teacher interference. Reciting "Tajweed" the Holy Quran in the appropriate way is very important for all Muslims and is obligatory in Islamic devotions such as prayers. In this paper, the researchers introduce an intelligent tutoring system for teaching Reciting "Tajweed". Our "Tajweed" tutoring system is limited to "Tafkhim and Tarqiq in TAJWEED" the Holy Quran, Rewaya: Hafs from ‘Aasem. (...)
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  15. 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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  16. The Reality of the Practice of Crisis Management in the Union of Health Work Committees in Gaza In Light of the Corona Pandemic.Muhammad K. Hamdan, Mansour A. Mansour, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2021 - International Journal of Academic Management Science Research (IJAMSR) 5 (4):141-148.
    The aim of the research is to identify the reality of the practice of crisis management in light of The Corona Pandemic, and to achieve the research objectives, the researchers used the descriptive and analytical approach using the comprehensive survey method for the total research community, which numbered (110) individuals, while (90) were recovered: That the level of crisis management practice came with a relative weight (75.60%). Among the most important recommendations made by the research: Work to disburse a health (...)
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  17. Architecture, Acoustics, Auralization & Emotions.Jeff Hawley & Alaa Algargoosh - 2024 - Live Sound International 5 (May):16-19.
    An interview with Dr. Alaa Algargoosh, a research fellow at MIT Media Lab.
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  18. The Reality of the Quality of Health Services in the Union of Health Work Committees in Gaza In Light of the Corona Pandemic.Muhammad K. Hamdan, Mansour A. Mansour, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2021 - International Journal of Academic Accounting, Finance and Management Research(IJAAFMR) 5 (4):97-104.
    Abstract: The aim of the research is to identify the reality of the quality of health services in light of the Corona Pandemic, and in order to achieve the research objectives, the researchers used the descriptive and analytical approach using a comprehensive survey method for the total research community, whose number reached (110) individuals, while (90) were recovered: The level of health service quality is of relative weight (76%). Among the most important recommendations made by the research: Work to pay (...)
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  19.  44
    AI and Ethics in Surveillance: Balancing Security and Privacy in a Digital World.Msbah J. Mosa, Alaa M. Barhoom, Mohammed I. Alhabbash, Fadi E. S. Harara, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (10):8-15.
    Abstract: In an era of rapid technological advancements, artificial intelligence (AI) has transformed surveillance systems, enhancing security capabilities across the globe. However, the deployment of AI-driven surveillance raises significant ethical concerns, particularly in balancing the need for security with the protection of individual privacy. This paper explores the ethical challenges posed by AI surveillance, focusing on issues such as data privacy, consent, algorithmic bias, and the potential for mass surveillance. Through a critical analysis of the tension between security and privacy, (...)
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  20. Hair Loss Diagnosis and Treatment Expert System.Amal Nabahhin, Alaa Abu Aloun & Suheir H. Almurshidi - 2017 - International Journal of Engineering and Information Systems (IJEAIS) 1 (4):160-169.
    Though hair loss (alopecia) is not a debilitating or life threatening sickness, the very thought of becoming bald can lead to emotional stress and traumatic experience for those who suffer from premature or excessive hair loss. Many will try anything and everything to bring back their locks. Or at least, some of their once full head of hair. Hair loss sufferers spend billions of dollars annually on remedies ranging from drugs, vitamins to special tonics and shampoos. Conventional treatments of hair (...)
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  21. Advancements in AI for Medical Imaging: Transforming Diagnosis and Treatment.Zakaria K. D. Alkayyali, Ashraf M. H. Taha, Qasem M. M. Zarandah, Bassem S. Abunasser, Alaa M. Barhoom & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research(Ijaer) 8 (8):8-15.
    Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...)
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  22. The Role of Artificial Intelligence in Revolutionizing Health: Challenges, Applications, and Future Prospects.Nesreen Samer El_Jerjawi, Walid F. Murad, Dalia Harazin, Alaa N. N. Qaoud, Mohammed N. Jamala, Bassem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):7-15.
    rtificial Intelligence (AI) is swiftly becoming a fundamental element in modern healthcare, bringing unparalleled capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper delves into AI's transformative impact on the healthcare sector, highlighting how it enhances patient outcomes, boosts the efficiency of medical practices, and introduces new ethical and operational challenges. Through an analysis of current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, the paper underscores the significant advancements AI has introduced to (...)
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  23. Handwritten Signature Verification using Deep Learning. [REVIEW]Eman Alajrami, Belal A. M. Ashqar, Bassem S. Abu-Nasser, Ahmed J. Khalil, Musleh M. Musleh, Alaa M. Barhoom & Samy S. Abu-Naser - manuscript
    Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a (...)
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  24. AI in HRM: Revolutionizing Recruitment, Performance Management, and Employee Engagement.Mostafa El-Ghoul, Mohammed M. Almassri, Mohammed F. El-Habibi, Mohanad H. Al-Qadi, Alaa Abou Eloun, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):16-23.
    Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM) by enhancing the efficiency and effectiveness of key functions such as recruitment, performance management, and employee engagement. This paper explores the integration of AI technologies in HRM, focusing on their potential to revolutionize these critical areas. In recruitment, AI-driven tools streamline candidate sourcing, screening, and selection processes, leading to more accurate and unbiased hiring decisions. Performance management is similarly transformed, with AI enabling continuous, data-driven feedback and personalized development plans that (...)
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  25. Alaä Hamed - Ein Religionskritiker in Ägypten.Oliver Kloss - 1992 - Materialien Und Informationen Zur Zeit 4 (21. Jg.):17-19.
    On 25 December 1991 Alaa Hamed must for his literary work to the "Emergency Court for National Security" in Cairo. The judge read out the verdict: 2,300 egyptian pounds fine and eight years in prison for violating of state security and social peace. - A shock not only for egyptian intellectuals! The Arabic Department of BBC London placed the sentence in second place in the news, immediately after the notification of the resignation of Michail Gorbachev. Even in Germany the (...)
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  26. Transferência de Embriões nos Animais e a Indústria de Embriões no Brasil.Emanuel Isaque Cordeiro da Silva -
    REPRODUÇÃO ANIMAL: TRANSFERÊNCIA DE EMBRIÕES EM ANIMAIS, E A INDÚSTRIA DE EMBRIÕES NO BRASIL -/- ANIMAL BREEDING: EMBRYO TRANSFER IN ANIMALS, AND THE EMBRYO INDUSTRY IN BRAZIL Apoio: Emanuel Isaque Cordeiro da Silva Departamento de Zootecnia da UFRPE E-mail: [email protected] WhatsApp: (82)98143-8399 -/- 1. INTRODUÇÃO A técnica da inseminação artificial tornou possível aumentar o impacto na descendência de touros geneticamente superiores em termos de produção láctea das filhas. Com a transferência de embriões é possível aumentar o impacto da fêmea sobre (...)
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  27. Omnicide: Mania, Fatality, and Future-in-Delirium (review). [REVIEW]Ekin Erkan - 2019 - Philosophy East and West 69 (4):3-6.
    Omnicide: Mania, Fatality and Future-in-Delirium (2019) finds Iranian-American philosopher and comparative literature theorist Jason Bahbak Mohaghegh carving the figure of the diffracted neo-Bedouin wanderer, whose mania we tail through the book’s haunted pages. The book’s namesake, “omnicide,” refers to the complete and total erasure of the Earth--the term has most recently been generally applied in ecological contexts, most markedly in regards to the Anthropocene and futurology. However, it is the explicitly poetic and literary intersection between mania and the grotesque that (...)
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