Results for 'Siow Ann Chong'

166 found
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  1. Vandalizing Tainted Commemorations.Chong-Ming Lim - 2020 - Philosophy and Public Affairs 48 (2):185-216.
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  2. Clarifying the Best Interests Standard: The Elaborative and Enumerative Strategies in Public Policy-Making.Chong Ming Lim, Michael C. Dunn & Jacqueline J. Chin - 2016 - Journal of Medical Ethics 42 (8):542-549.
    One recurring criticism of the best interests standard concerns its vagueness, and thus the inadequate guidance it offers to care providers. The lack of an agreed definition of ‘best interests’, together with the fact that several suggested considerations adopted in legislation or professional guidelines for doctors do not obviously apply across different groups of persons, result in decisions being made in murky waters. In response, bioethicists have attempted to specify the best interests standard, to reduce the indeterminacy surrounding medical decisions. (...)
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  3. Wang Chong, Truth, and Quasi-Pluralism.Lajos L. Brons - 2015 - Comparative Philosophy 6 (1):129-148.
    In (2011) McLeod suggested that the first century Chinese philosopher Wang Chong 王充 may have been a pluralist about truth. In this reply I contest McLeod's interpretation of Wang Chong, and suggest "quasi-pluralism" (albeit more as an alternative to pluralism than as an interpretation of Wang Chong), which combines primitivism about the concept of truth with pluralism about justification.
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  4. Accommodating Autistics and Treating Autism: Can We Have Both?Chong-Ming Lim - 2015 - Bioethics 29 (8):564-572.
    One of the central claims of the neurodiversity movement is that society should accommodate the needs of autistics, rather than try to treat autism. People have variously tried to reject this accommodation thesis as applicable to all autistics. One instance is Pier Jaarsma and Stellan Welin, who argue that the thesis should apply to some but not all autistics. They do so via separating autistics into high- and low-functioning, on the basis of IQ and social effectiveness or functionings. I reject (...)
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  5. Reviewing Resistances to Reconceptualizing Disability.Chong-Ming Lim - 2017 - Proceedings of the Aristotelian Society 117 (3):321-331.
    I attempt to adjudicate the disagreement between those who seek to reconceptualize disability as mere difference and their opponents. I do so by reviewing a central conviction motivating the resistance, concerning the relationship between disability and well-being. I argue that the conviction depends on further considerations about the costs and extent of change involved in accommodating individuals with a particular disability trait. I conclude by considering three pay-offs of this clarification.
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  6.  37
    Effectiveness and Ecumenicity.Chong-Ming Lim - 2019 - Journal of Moral Philosophy 16 (5):590-612.
    Effective altruism is purportedly ecumenical towards different moral views, charitable causes, and evidentiary methods. I argue that effective altruists’ criticisms of purportedly less effective charities are inconsistent with their commitment to ecumenicity. Individuals may justifiably support charities other than those recommended by effective altruism. If effective altruists take their commitment to ecumenicity seriously, they will have to revise their criticisms of many of these charities.
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  7.  74
    Disabilities Are Also Legitimately Medically Interesting Constraints on Legitimate Interests.Chong-Ming Lim - 2018 - Mind 127 (508):977-1002.
    What is it for something to be a disability? Elizabeth Barnes, focusing on physical disabilities, argues that disability is a social category. It depends on the rules undergirding the judgements of the disability rights movement. Barnes’ account may strike many as implausible. I articulate the unease, in the form of three worries about Barnes’ account. It does not fully explain why the disability rights movement is constituted in such a way that it only picks out paradigmatic disability traits, nor why (...)
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  8. An Incomplete Inclusion of Non-Cooperators Into a Rawlsian Theory of Justice.Chong-Ming Lim - 2016 - Res Philosophica 93 (4):893-920.
    John Rawls’s use of the “fully cooperating assumption” has been criticized for hindering attempts to address the needs of disabled individuals, or non-cooperators. In response, philosophers sympathetic to Rawls’s project have extended his theory. I assess one such extension by Cynthia Stark, that proposes dropping Rawls’s assumption in the constitutional stage (of his four-stage sequence), and address the needs of non-cooperators via the social minimum. I defend Stark’s proposal against criticisms by Sophia Wong, Christie Hartley, and Elizabeth Edenberg and Marilyn (...)
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  9. A Sense So Rare: Measuring Olfactory Experiences and Making a Case for a Process Perspective on Sensory Perception.Ann-Sophie Barwich - 2014 - Biological Theory 9 (3):258-268.
    Philosophical discussion about the reality of sensory perceptions has been hijacked by two tendencies. First, talk about perception has been largely centered on vision. Second, the realism question is traditionally approached by attaching objects or material structures to matching contents of sensory perceptions. These tendencies have resulted in an argumentative impasse between realists and anti-realists, discussing the reliability of means by which the supposed causal information transfer from object to perceiver takes place. Concerning the nature of sensory experiences and their (...)
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  10. Sensory Measurements: Coordination and Standardization.Ann-Sophie Barwich & Hasok Chang - 2015 - Biological Theory 10 (3):200-211.
    Do sensory measurements deserve the label of “measurement”? We argue that they do. They fit with an epistemological view of measurement held in current philosophy of science, and they face the same kinds of epistemological challenges as physical measurements do: the problem of coordination and the problem of standardization. These problems are addressed through the process of “epistemic iteration,” for all measurements. We also argue for distinguishing the problem of standardization from the problem of coordination. To exemplify our claims, we (...)
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  11. Up the Nose of the Beholder? Aesthetic Perception in Olfaction as a Decision-Making Process.Ann-Sophie Barwich - 2017 - New Ideas in Psychology 47:157-165.
    Is the sense of smell a source of aesthetic perception? Traditional philosophical aesthetics has centered on vision and audition but eliminated smell for its subjective and inherently affective character. This article dismantles the myth that olfaction is an unsophisticated sense. It makes a case for olfactory aesthetics by integrating recent insights in neuroscience with traditional expertise about flavor and fragrance assessment in perfumery and wine tasting. My analysis concerns the importance of observational refinement in aesthetic experience. I argue that the (...)
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  12.  43
    Wang Chong's Epistemology of Testimony.Esther Klein & Colin Klein - 2016 - Asia Major Third Series 29 (2):115-147.
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  13. Public Attitudes Toward Cognitive Enhancement.Nicholas S. Fitz, Roland Nadler, Praveena Manogaran, Eugene W. J. Chong & Peter B. Reiner - 2014 - Neuroethics 7 (2):173-188.
    Vigorous debate over the moral propriety of cognitive enhancement exists, but the views of the public have been largely absent from the discussion. To address this gap in our knowledge, four experiments were carried out with contrastive vignettes in order to obtain quantitative data on public attitudes towards cognitive enhancement. The data collected suggest that the public is sensitive to and capable of understanding the four cardinal concerns identified by neuroethicists, and tend to cautiously accept cognitive enhancement even as they (...)
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  14. Measuring the World: Olfaction as a Process Model of Perception.Ann-Sophie Barwich - 2018 - In John A. Dupre & Daniel Nicholson (eds.), Everything Flows: Towards a Processual Philosophy of Biology. pp. 337-356.
    How much does stimulus input shape perception? The common-sense view is that our perceptions are representations of objects and their features and that the stimulus structures the perceptual object. The problem for this view concerns perceptual biases as responsible for distortions and the subjectivity of perceptual experience. These biases are increasingly studied as constitutive factors of brain processes in recent neuroscience. In neural network models the brain is said to cope with the plethora of sensory information by predicting stimulus regularities (...)
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  15. Two Kinds of Lawlessness: Plato's Crito.Ann Congleton - 1974 - Political Theory 2 (4):432-446.
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  16. Making Sense of Smell.Barwich Ann-Sophie - 2016 - The Philosophers' Magazine 73 (2):41-47.
    Short piece for The Philosophers' Magazine on why philosophers should pay attention to olfaction.
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  17. Sex, Lies and Pornography.Ann Garry - 2002 - In Hugh LaFollette (ed.), Ethics in Practice: An Anthology. Blackwell.
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  18.  47
    Review of Elizabeth Barnes' The Minority Body. [REVIEW]Chong-Ming Lim - forthcoming - Mind.
    A review of Elizabeth Barnes' The Minority Body.
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  19.  49
    Chống “ngộ độc” nguồn lực.Trinh Nguyễn - 2013 - Thanh Niên 2013 (1):1-6.
    Nhiều người vẫn cho thiếu đầu tư là một rào cản phát triển xã hội. TS kinh tế Vương Quân Hoàng lo ngại “ngộ độc” nguồn lực hơn.
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  20.  77
    Folk Core Beliefs About Color.Pendaran Roberts & Kelly Ann Schmidtke - 2019 - Review of Philosophy and Psychology 10 (4):849-869.
    Johnston famously argued that the colors are, more or less inclusively speaking, dispositions to cause color experiences by arguing that this view best accommodates his five proposed core beliefs about color. Since then, Campbell, Kalderon, Gert, Benbaji, and others, have all engaged with at least some of Johnston’s proposed core beliefs in one way or another. Which propositions are core beliefs is ultimately an empirical matter. We investigate whether Johnston’s proposed core beliefs are, in fact, believed by assessing the agreement/disagreement (...)
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  21. Beyond Business Ethics: An Agenda for the Trustworthy Teachers and Practitioners of Business.Ann Congleton - 2014 - Journal of Business Ethics 119 (2):151-172.
    Societies need markets, so just as trustworthy professionals are needed in fields such as healthcare, law and education, modern societies need trustworthy market managers, including corporate officers and directors. But in its screening of candidates, U.S. corporate business has lagged behind fields such as medicine and law, which in the nineteenth century addressed their need for screening by upgrading professional education and establishing licensing of individual practitioners. Corporate business, by contrast, has been too tolerant of problematic executives, particularly executives of (...)
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  22. Science and Fiction: Analysing the Concept of Fiction in Science and its Limits.Ann-Sophie Barwich - 2013 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 44 (2):357-373.
    A recent and growing discussion in philosophy addresses the construction of models and their use in scientific reasoning by comparison with fiction. This comparison helps to explore the problem of mediated observation and, hence, the lack of an unambiguous reference of representations. Examining the usefulness of the concept of fiction for a comparison with non-denoting elements in science, the aim of this paper is to present reasonable grounds for drawing a distinction between these two kinds of representation. In particular, my (...)
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  23. Relationalism About Perceptible Properties and the Principle of Charity.Pendaran Roberts & Kelly Ann Schmidtke - 2016 - Synthese 193 (9).
    Color relationalism holds that the colors are constituted by relations to subjects. The introspective rejoinder against this view claims that it is opposed to our phenomenally-informed, pre-theoretic intuitions. The rejoinder seems to be correct about how colors appear when looking at how participants respond to an item about the metaphysical nature of color but not when looking at an item about the ascription of colors. The present article expands the properties investigated to sound and taste and inspects the mentioned asymmetry, (...)
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  24.  53
    ANN for Predicting MPG Automobile.Jamala Mohammad & Qassas Randa - 2016 - International Journal of Academic Information Systems Research (IJAISR) 10 (2):5-23.
    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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  25.  61
    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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  26. Lawrence Kohlberg's Approach to Moral Education.F. Clark Power, Ann Higgins-D'alessandro & Lawrence Kohlberg - 1989
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  27.  98
    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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  28.  86
    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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  29.  60
    ANN for Predicting the Effect of Oxygen Consumption of Thylakoid Membranes (Chloroplasts) From Spinach After Inhibition.Shawah Mohammad - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (2):15-19.
    In this research, an Artificial Neural Network (ANN) model was developed and tested to predict effect of oxygen consumption of thylakoid membranes (chloroplasts) from spinach after inhibition. A number of factors were identified that may affect of oxygen consumption of thylakoid membranes from spinach. Factors such as curve, herbicide, dose, 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 inhibition of photosynthesis in farms. The (...)
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  30. ANN for Predicting Birth Weight.Shawwah Mohammad & Murshidy Suheil - 2020 - International Journal of Academic Health and Medical Research (IJAHMR) 1 (3):9-12.
    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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  31.  54
    ANN for Tic-Tac-Toe Learning.Dalffa Muhannad - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):9-17.
    Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of mathematical combination of the sequences that could be played by the system and using both the Gradient Descent Algorithm explicitly and the Elimination theory rules implicitly. And so on the system should be able to produce imunate amalgamations to solve every state within the game course to make better of results (...)
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  32.  77
    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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  33.  38
    ANN for Predicting Overall Car Performance.Mubayyed Osamma & Gazaz Ahmed - 2020 - International Journal of Academic and Applied Research (IJAAR) 1 (3):1-4.
    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 99.62 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  34.  64
    ANN Model for Predicting Protein Localization Sites in Cells.Mohammed Nafez Abu Samra, Bilal Ezz El-Din Abed, Hossam Abdel Nasser Zaqout & Samy S. Abu-Naser - 2020 - International Journal of Academic and Applied Research (IJAAR) 4 (9):43-50.
    To automate examination of massive amounts of sequence data for biological function, it is important to computerize interpretation based on empirical knowledge of sequence-function relationships. For this purpose, we have been constructing an Artificial Neural Network (ANN) by organizing various experimental and computational observations as a collection ANN models. Here we propose an ANN model which utilizes the Dataset for UCI Machine Learning Repository, for predicting localization sites of proteins. We collected data for 336 proteins with known localization sites and (...)
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  35.  43
    ANN for Predicting Movies Rates Category.Nassar Shawwa & Fatthy Khillha - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (2):21-25.
    We proposed an Artificial Neural Network (ANN) in this paper for predicting the rate category of movies. A dataset used obtained from UCI repository created for research purposes. Our ANN prediction model was developed and validated; validation results showed that the ANN model is able to 92.19% accurately predict the category of movies’ rate.
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  36. Introduction to Hypatia Special Issue: ‘‘Transgender Studies and Feminism: Theory, Politics, and Gendered Realities.Talia Bettcher & Ann Garry - 2008 - Hypatia 24 (3):1-10.
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  37. Folk Intuitions About the Causal Theory of Perception.Pendaran Roberts, Keith Allen & Kelly Ann Schmidtke - 2016 - Ergo: An Open Access Journal of Philosophy.
    It is widely held by philosophers not only that there is a causal condition on perception but also that the causal condition is a conceptual truth about perception. One influential line of argument for this claim is based on intuitive responses to a style of thought experiment popularized by Grice. Given the significance of these thought experiments to the literature, it is important to see whether the folk in fact respond to these cases in the way that philosophers assume they (...)
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  38. Sexuality, Power, and Gangbang: A Foucouldian Analysis of Aannabel Chong's Dissent.Mark Anthony Dacela - 2011 - In Noelle Leslie Dela Cruz & Jeanne Peracullo (eds.), Feminista: Gender, Race and Class in the Philippines, Manila. Anvil. pp. 83-97.
    In January 1995, at the age of 22, Annabel Chong (whose real name is Grace Quek), a former pornographic actress/director set a world record (which has since been topped) for having the most number of sex acts, 251 with about 70 men, over a period of about ten hours, for a film called the World’s Biggest Gangbang. Chong claims in subsequent interviews that more than anything else, she did it to challenge the stereotypical notion that female sexuality is (...)
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  39. "Don't Be Evil" and Beyond for High Tech Organizations: Ethical Statements and Mottos (and Responsibility).Jo Ann Oravec - 2018 - In Civic Engagement and Social Change in Contemporary Society. Hershey, PA: IGI Global. pp. 200-237.
    Societal pressures on high tech organizations to define and disseminate their ethical stances are increasing as the influences of the technologies involved expand. Many Internet-based businesses have emerged in the past decades; growing numbers of them have developed some kind of moral declaration in the form of mottos or ethical statements. For example, the corporate motto “don’t be evil” (often linked with Google/ Alphabet) has generated considerable controversy about social and cultural impacts of search engines. After addressing the origins of (...)
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  40.  98
    ANN for Tic-Tac-Toe Learning.Dalffa Abu-Mohaned - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):9-17.
    Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of mathematical combination of the sequences that could be played by the system and using both the Gradient Descent Algorithm explicitly and the Elimination theory rules implicitly. And so on the system should be able to produce imunate amalgamations to solve every state within the game course to make better of results (...)
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  41.  34
    ANN Car Mileage Per Gallon Prediction.Jomana Ahmed, Bayan Harb, Bassem S. Abu, Mohsen Afana & Rafiq Madhoun - 2017 - International Journal of Advanced Science and Technology 124:51-58.
    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: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...)
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  42.  31
    ANN for Predicting Antibiotic Susceptibility.Maaruf Ahmed & Qassas Randa - 2016 - International Journal of Academic Pedagogical Research (IJAPR) 10 (2):1-4.
    Abstract: In this research, an Artificial Neural Network (ANN) model was developed and tested to predict efficiency of antibiotics in treating various bacteria types. Attributes that were taken in account are: organism name, specimen type, and antibiotic name as input and susceptibility as an output. A model based on one input, one hidden, and one output layers concept topology was developed and trained using a data from Queensland government's website. The evaluation shows that the ANN model is capable of correctly (...)
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  43.  81
    ANN for Lung Cancer Detection.Nassar AlIbrahim & Murshidy Suheil - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):17-21.
    In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung (...)
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  44.  71
    ANN for Predicting Books’ Overall Rating.Nassar AlIbrahim & Gazaz Ahmed - 2020 - International Journal of Academic Engineering Research (IJAER) 8 (3):1-5.
    We developed an Artificial Neural Network (ANN) model for predicting the overall rating of books. The prediction is based on some Factors (bookID, title, authors, isbn, language_code, isbn13, # num_pages, ratings_count, text_reviews_count), which used as input variables and (average_rating) as output for our ANN predictive model. Our model established, trained, and validated using data set, which its title is “Goodreads-books”. Model evaluation showed that the ANN model is able to predict correctly 99.90% of the validation instances.
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  45.  22
    ANN for English Alphabet Prediction.Hamza H. Heriz, Sharief M. Salah, Mohammad Abu Abdu & Qassas Randa - 2016 - International Journal of Academic Pedagogical Research (IJAPR) 11 (2):8-13.
    Abstract: In this paper an Artificial Neural Network (ANN) model, for predicting the Letters from twenty dissimilar fonts for each letter. The character images were, initially, based on twenty dissimilar fonts and each letter inside these twenty fonts was arbitrarily distorted to yield a file of 20,000 distinctive stimuli. Every stimulus was transformed into 16 simple numerical attributes (arithmetical moments and edge amounts) which were then ascended to be suitable into a range of numeral values from 0 to 15. We (...)
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  46.  86
    ANN for Predicting Animals Category.Nassar Ibraheem & AlKahlout Mohammad - 2020 - International Journal of Academic and Applied Research (IJAAR) 3 (2):18-23.
    In this paper an Artificial Neural Network (ANN) model, was developed and tested for predicting the category of an animal. There is a number of factors that influence the classification of animals. Such as the existence of hair/ feather, if the animal gives birth or spawns, it is airborne, aquatic, predator, toothed, backboned, venomous, has –fins, has-tail, cat-sized, and domestic. They were then used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was developed (...)
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  47. 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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  48.  49
    Dennis Richard Danielson. Milton's Good God: A Study in Literary Theodicy. Pp. Xi+ 292.(Cambridge University Press, 1982.)£ 20.00. [REVIEW]Ann Loades - 1985 - Religious Studies 21 (1):97-100.
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  49. ANN for Parkinson’s Disease Prediction.Salah Sadek, Abdul Mohammed, Abdul Karim Abunbehan, Majed Abdul Ghattas & Mohamed Badawi - 2020 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (1):1-7.
    Parkinson's Disease (PD) is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Doctors do not know what causes it and finds difficulty in early diagnosing the presence of Parkinson’s disease. An artificial neural network system with back propagation algorithm is presented in this paper for helping doctors in identifying (...)
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  50.  44
    When Extinction is Warranted: Invasive Species, Suppression-Drives, and the Worst-Case Scenario.Ann C. Thresher - forthcoming - Ethics, Policy and Environment:1-21.
    Most current techniques to deal with invasive species are ineffective or have highly damaging side effects. To this end suppression-drives based on clustered regularly inter-spaced short palindromic repeats (CRISPR/Cas9) have been touted as a potential silver bullet for the problem, allowing for a highly focused, humane and cost-effective means of removing a target species from an environment. Suppression-drives come with serious risks, however, such that the precautionary principle seems to warrant us not deploying this technology. The focus of this paper (...)
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