Results for 'Khaled Hassanein'

17 found
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  1.  74
    ANN for Predicting Temperature and Humidity in the Surrounding Environment.Abd Al-Rahman Shawwa, Saji Al-Absi, Khaled Hassanein & Bastami Bashhar - 2017 - International Journal of Academic Pedagogical Research (IJAPR) 9 (2):1-5.
    Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict temperature in the surrounding environment. A number of factors were identified that may affect temperature or humidity. Factors such as the nature of the surrounding place, proximity or distance from water surfaces, the influence of vegetation, and the level of rise or fall below sea level, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and (...)
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  2. Artificial Neural Network for Predicting Workplace Absenteeism.Raghad Adnan Abu Hassanein, Saja Ahmed Al-Qassas, Fatima Naji Abu Tir & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (9):62-67.
    Associations can grow, succeed, and sustain if their employees are committed. The main assets of an association are those employees who are giving it a required number of hours per month, in other words, those employees who are punctual towards their attendance. Absenteeism from work is a multibillion-dollar problem, and it costs money and decreases revenue. At the time of hiring an employee, Associations do not have an objective mechanism to predict whether an employee will be punctual towards attendance or (...)
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  3. The Disaster of the Impact Factor.Khaled Moustafa - 2015 - Science and Engineering Ethics 21 (1):139-142.
    Journal impact factor is a value calculated annually based on the number of times articles published in a journal are cited in two, or more, of the preceding years. At the time of its inception in 1955 , the inventor of the impact factor did not imagine that 1 day his tool would become a controversial and abusive measure, as he confessed 44 years later . The impact factor became a major detrimental factor of quality, creating huge pressures on authors, (...)
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  4. Publishers: Save Authors' Time.Khaled Moustafa - 2017 - Science and Engineering Ethics (naa):1-2.
    Scientific journals ask authors to put their manuscripts, at the submission stage, sometimes in a complex style and a specific pagination format that are time consuming while it is unclear yet that the submitted manuscripts will be accepted. In the case of rejections, authors need to submit to another journal most likely with a different style and formatting that require additional work and time. To save authors’ time, publishers should allow authors to submit their manuscripts in any format and to (...)
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  5. Blind Manuscript Submission to Reduce Rejection Bias?Khaled Moustafa - 2015 - Science and Engineering Ethics 21 (2):535-539.
    High percentages of submitted papers are rejected at editorial levels without offering a second chance to authors by sending their papers for further peer-reviews. In most cases, the rejections are typical quick answers without helpful argumentations related to the content of the rejected material. More surprisingly, some journals vaunt their high rejection rates as a “mark of prestige”!However, journals that reject high percentages of submitted papers have built their prominent positions based on a flawed measure, the impact factor, and from (...)
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  6. Fake Journals: Not Always Valid Ways to Distinguish Them.Khaled Moustafa - 2015 - Science and Engineering Ethics 21 (5):1391-1392.
    In their recent paper, Esfe et al. present some criteria for fake journals and propose some ‘features’ to recognize them. While I share most of the authors’ concerns about this issue in general, some of the reported criteria are not fit to differentiate fake journals from genuine ones. Here are some examples derived from their list, which illustrate that such criteria are not necessarily specific to fake journals only, but they could also apply to well-established journals and, therefore, should not (...)
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  7. Prediction of Whether Mushroom is Edible or Poisonous Using Back-Propagation Neural Network.Eyad Sameh Alkronz, Khaled A. Moghayer, Mohamad Meimeh, Mohannad Gazzaz, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic and Applied Research (IJAAR) 3 (2):1-8.
    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 data. In this paper, Multi-Layer ANN model was used to train and test the mushroom dataset to predict whether it is edible or poisonous. The Mushrooms dataset was prepared for training, 8124 instances were used for the training. JustNN software was used to training and validating the (...)
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  8. ANN for Predicting Medical Expenses.Khaled Salah & Ahmed Altalla - 2016 - International Journal of Engineering and Information Systems (IJEAIS) 2 (10):11-16.
    Abstract: In this research, the Artificial Neural Network (ANN) model was developed and tested to predict the rate of treatment expenditure on an individual or family in a country. A number of factors have been identified that may affect treatment expenses. Factors such as age, grade level such as primary, preparatory, secondary or college, sex, size of disability, social status, and annual medical expenses in fixed dollars excluding dental and outpatient clinics among others, as input variables for the ANN model. (...)
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  9. Aberration of the Citation.Khaled Moustafa - 2016 - Accountability in Research 23 (4):230.
    Multiple inherent biases related to different citation practices (for e.g., self-citations, negative citations, wrong citations, multi-authorship-biased citations, honorary citations, circumstantial citations, discriminatory citations, selective and arbitrary citations, etc.) make citation-based bibliometrics strongly flawed and defective measures. A paper can be highly cited for a while (for e.g., under circumstantial or transitional knowledge), but years later it may appear that its findings, paradigms, or theories were untrue or invalid anymore. By contrast, a paper may remain shelved or overlooked for years or (...)
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  10. Does the Cover Letter Really Matter?Khaled Moustafa - 2015 - Science and Engineering Ethics 21 (4):839-841.
    The cover letter is not the main text destined to be evaluated or published. The content of the cover letter is already overlapped and redundant with the article's abstract. Cover letters look like the ‘misleading’ commercial ads; as good or as bad as they might be, they do not change the inherent value of the advertised product. The significance of a manuscript should be manifest in the 200–300 words of its abstract and alongside the manuscript as a whole. The aim (...)
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  11. Internet and Advertisement.Khaled Moustafa - 2016 - Science and Engineering Ethics 22 (1):293-296.
    The Internet has revolutionized the way knowledge is currently produced, stored and disseminated. A few finger clicks on a keyboard can save time and many hours of search in libraries or shopping in stores. Online trademarks with an prefix such as e-library, e-business, e-health etc., are increasingly part of our daily professional vocabularies. However, the Internet has also produced multiple negative side effects, ranging from an unhealthy dependency to a dehumanization of human relationships. Fraudulent, unethical and scam practices are also (...)
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  12. MAPK Cascades and Major Abiotic Stresses.Khaled Moustafa - 2014 - Plant Cell Reports 33.
    Plants have evolved with complex signaling circuits that operate under multiple conditions and govern numerous cellular functions. Stress signaling in plant cells is a sophisticated network composed of interacting proteins organized into tiered cascades where the function of a molecule is dependent on the interaction and the activation of another. In a linear scheme, the receptors of cell surface sense the stimuli and convey stress signals through specific pathways and downstream phosphorylation events controlled by mitogen-activated protein (MAP) kinases and second (...)
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  13.  93
    ANN for Diagnosing Hepatitis Virus.Fathi Metwally, Khaled AbuSharekh & Bastami Bashhar - 2017 - International Journal of Academic Pedagogical Research (IJAPR) 11 (2):1-6.
    Abstract: This paper presents an artificial neural network based approach for the diagnosis of hepatitis virus. A number of factors that may possibly influence the performance of patients were outlined. Such factors as age, sex, Steroid, Antivirals, Fatigue, Malaise, Anorexia, Liver Big, Liver Firm Splean Palpable, Spiders, Ascites, Varices, Bilirubin, Alk Phosphate, SGOT, Albumin, Protine and Histology, were then used as input variables for the ANN model . Test data evaluation shows that the ANN model is able to correctly predict (...)
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  14.  29
    Applying a HAC Study on an LPG/SNG System in a Steel Factory.Khaled Habib Ezzat, Moustapha Salem Mansour, Ibrahim Ismail Ibrahim & Fathy Ahmed Shoukry - 2018 - International Journal of Academic Engineering Research (IJAER) 2 (5):9-16.
    Abstract: As a global trend, safety has become the number 1 priority in all industries worldwide. This leads any organization either It‘s in the design phase or already in production, to design or modify –respectively- its layout and Installations to comply with safety standards. One of the most important hazards that are common in most industries, either it is petrochemical, non-petrochemical or even FMCG (Food Manufacturing & Customer Goods) industries, is the Explosion Hazard. According to the most recent fire statistics (...)
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  15. MPG Prediction Using Artificial Neural Network.Yara Ibrahim Al Barsh, Maram Khaled Duhair, Hassan Jassim Ismail, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (11):7-16.
    Abstract: During the course of this research, imposing the training of an artificial neural network to predicate the MPG rate for present thru forthcoming automobiles in the foremost relatively accurate evaluation for the approximated number which foresight the actual number to help through later design and manufacturing of later automobile, by training the ANN to accustom to the relationship between the skewing of each later stated attributes, the set of mathematical combination of the sequences that could be excavate the Miles (...)
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  16.  59
    Intelligent Neurtosophic Diagnostic System for Cardiotcography Data.Belal Amin, A. A. Salama, Mona G. Gafar & Khaled Mahfouz, - 2021 - Computational Intelligence and Neuroscience 2021:15-21.
    Cardiotocography data uncertainty is a critical task for the classification in biomedical field. Constructing good and efficient classifier via machine learning algorithms is necessary to help doctors in diagnosing the state of fetus heart rate. *e proposed neutrosophic diagnostic system is an Interval Neutrosophic Rough Neural Network framework based on the backpropagation algorithm. It benefits from the advantages of neutrosophic set theory not only to improve the performance of rough neural networks but also to achieve a better performance than the (...)
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  17. The Algebraic Creativity in The Neutrosophic Square Matrices‏.Mohammad Abobala, Ahmed Hatip, A. A. Salama, Necati Olgun, Broumi Said & Huda E. Khaled - 2021 - Neutrosophic Sets and Systems 40:1-11.
    The objective of this paper is to study algebraic properties of neutrosophic matrices, where a necessary and sufficient condition for the invertibility of a square neutrosophic matrix is presented by defining the neutrosophic determinant. On the other hand, this work introduces the concept of neutrosophic Eigen values and vectors with an easy algorithm to compute them. Also, this article finds a necessary and sufficient condition for the diagonalization of a neutrosophic matrix.
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