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  1. added 2020-03-07
    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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  2. added 2020-03-07
    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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  3. added 2020-03-06
    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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  4. added 2020-03-06
    Classification of Mushroom Using Artificial Neural Network.Alkronz Sameh, Meimeh Moghayer, Gazaz Mohanad & AlKahlout Mohammad - 2020 - International Journal of Academic and Applied Research (IJAAR) 3 (2):1-5.
    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 data. (...)
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  5. added 2020-03-06
    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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  6. added 2020-03-06
    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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  7. added 2020-03-06
    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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  8. added 2020-03-06
    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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  9. added 2020-02-12
    Apple Fruits Classification Using Deep Learning.Shawwa Mohammad - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):1-6.
    Apple is a plant species that follows the apple genus, which is a fruit because it contains seeds of the pink family. It is one of the most fruit trees in terms of agriculture. The apple tree is small in length from 3 to 12 meters. Several recent studies have shown many health benefits of apples. It helps with the strengthening of the brain, heart, and stomach. It is used in the treatment of joint pain and limberness. It is opposite. (...)
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  10. added 2020-02-10
    Analyzing Types of Cherry Using Deep Learning.Izzeddin A. Alshawwa, Hosni Qasim El-Mashharawi, Mohammed Elkahlout, Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (1):1-5.
    A cherry is the fruit of many plants of the genus Prunus, and is a fleshy drupe (stone fruit), Michigan's Northwest Lower Peninsula is the largest producer of tart cherries in the United States. In fact, grow 75% of the country's variety of mighty Montmorency cherries. We use these Ruby Red Morsels of Joy in over 200 cherry products like Salsas, Chocolate Covered Cherries, Cherry Nut Mixes, and much more. Cherry fruits are rich in vitamins and minerals, and it is (...)
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  11. added 2020-02-10
    Grape Type Classification Using Deep Learning.Hosni Qasim El-Mashharawi, Samy S. Abu-Naser, Izzeddin A. Alshawwa & Mohammed Elkahlout - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):41-45.
    Abstract: A grape is a fruit, botanically a berry, of the deciduous woody vines of the flowering plant genus Vitis. it can be eaten fresh or they can be used for making jam, grape juice, jelly, grape seed extract, raisins, and grape seed oil. Grapes are a nonclimacteric type of fruit, generally occurring in clusters. Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. (...)
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  12. added 2020-02-10
    Type of Grapefruit Classification Using Deep Learning.Mohammed M. Abu-Saqer, Samy S. Abu-Naser & Mohammed O. Al-Shawwa - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (1):1-5.
    Fruit has been recognized as a good source of vitamins and minerals, and for their role in preventing vitamin C and vitamin A deficiencies. People who eat fruit as part of an overall healthy diet generally have a reduced risk of chronic diseases. Fruit are important sources of many nutrients, including potassium, fiber, vitamin C and folate (folic acid). One of important types of fruit is Grapefruit . Grapefruit is a tropical citrus fruit known its sweet and somewhat sour taste. (...)
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  13. added 2020-02-10
    Grape Type Classification Using Deep Learning.Hosni Qasim El-Mashharawi, Samy S. Abu-Naser, Izzeddin A. Alshawwa & Mohammed Elkahlout - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):41-45.
    Abstract: A grape is a fruit, botanically a berry, of the deciduous woody vines of the flowering plant genus Vitis. it can be eaten fresh or they can be used for making jam, grape juice, jelly, grape seed extract, raisins, and grape seed oil. Grapes are a nonclimacteric type of fruit, generally occurring in clusters. Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. (...)
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  14. added 2020-02-10
    Mango Classification Using Deep Learning.Alaa Soliman Abu Mettleq, Ibtesam M. Dheir, Abeer A. Elsharif & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):22-29.
    Abstract: In worldwide, there are several hundred cultivars of mango. Depending on the cultivar, mango fruit varies in size, shape, sweetness, skin color, and flesh color which may be pale yellow, gold, or orange. Where there are more than 15 types of manga. In this paper, two types Mango classification approach is presented with a dataset that contains approximately 1200 images. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used, for this task. The (...)
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  15. added 2020-02-10
    Peach Type Classification Using Deep Learning.Mohammed I. El-Kahlout & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):35-40.
    Abstract: Peach, (Prunus persica), fruit tree of the rose family (Rosaceae), grown throughout the warmer temperate regions of both the Northern and Southern hemispheres. Peaches are widely eaten fresh and are also baked in pies and cobblers; canned peaches are a staple commodity in many regions. Yellow-fleshed varieties are especially rich in vitamin A. Peach trees are relatively short-lived as compared with some other fruit trees. In some regions orchards are replanted after 8 to 10 years, while in others trees (...)
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  16. added 2020-02-10
    An Expert System for Depression Diagnosis.Izzeddin A. Alshawwa, Mohammed Elkahlout, Hosni Qasim El-Mashharawi & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):20-27.
    Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...)
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  17. added 2020-02-10
    Thyroid Knowledge Based System.Fatima M. Salman & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (5):11-20.
    Background: Thyroid disease is a group of disorders that affects the thyroid gland. The thyroid is a small, butterfly-shaped gland in the front of your neck that makes thyroid hormones. Thyroid hormones control how your body uses energy, so they affect the way nearly every organ in your body works—even the way your heart beats. Therefore, in this paper will identify what is the thyroid and diseases present in thyroid and detect the symptoms in each disease. Objectives: The main objective (...)
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  18. added 2020-02-10
    Survey of Rule-Based Systems.Naser Masri, Yousef Abu Sultan, Alaa N. Akkila, Abdelbaset Almasri, Adel Ahmed, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (7):1-23.
    Rule-Based Systems (RBS) are computer programs based on technologies established by Artificial Intelligence research, which express some characteristics of human knowledge and expertise to perform tasks normally done by human experts. Thus, a Rule -based system has two distinguishing features: a Rule base and an inference engine. The first part, the Rule base, represents facts about the world. The second part, the inference engine, allows new knowledge to be inferred. Most commonly, it can take the form of IF-THEN rules coupled (...)
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  19. added 2020-02-10
    Predicting Titanic Survivors Using Artificial Neural Network.Alaa M. Barhoom, Ahmed J. Khalil, Bassem S. Abu-Nasser, Musleh M. Musleh & Samy S. Abu Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (9):8-12.
    Although the Titanic disaster happened just over one hundred years ago, it still appeals researchers to understand why some passengers survived while others did not. With the use of a machine learning tool (JustNN) and the provided dataset we study which factors or classifications of passengers have a strong relationship with survival for passengers that took that trip on 15th of April, 1912. The analysis seeks to identify characteristics of passengers - cabin class, age, and point of departure – and (...)
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  20. added 2020-02-10
    The Reality of Marketing Services in Palestine Cellular Communications Company (Jawwal).Suliman A. El Talla, Mazen J. Al Shobaki & Samy S. Abu-Naser - 2019 - International Journal of Academic Multidisciplinary Research (IJAMR) 3 (10):77-86.
    This study aimed to identify the reality of marketing services in Palestine Cellular Communications Company (Jawwal) from the viewpoint of the workers, where the researchers used the descriptive analytical method, through a questionnaire randomly distributed to the sample of workers in Palestine Cellular Communications Company (Jawwal) in Gaza Strip reached (60) employees. The study reached a number of results, the most important of which are: The results showed that there is a high level of efficiency of marketing services in Palestine (...)
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  21. added 2020-02-10
    Predicting Books’ Overall Rating Using Artificial Neural Network.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (8):11-17.
    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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  22. added 2020-02-10
    Survey of Intelligent Tutoring Systems Up To the End of 2016.Alaa N. Akkila, Abdelbaset Almasri, Adel Ahmed, Naser Masri, Yousef Abu Sultan, Ahmed Y. Mahmoud, Ihab Zaqout & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (3):71-81.
    The main goals of Intelligent Tutoring Systems (ITS) are: providing highly developed instructional guidance on a one-to-one foundation that is improved than what is attained with traditional computer aided instruction and is analogous to that of a decent human tutor; and developing and testing models of intelligent processes associated with instruction. ITS is a subfield of artificial intelligence. ITS consists of four interacting components: the student model which embodies the student's present knowledge state, the pedagogical module which comprises appropriate instructional (...)
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  23. added 2020-02-10
    Intelligent Tutoring Systems Survey for the Period 2000- 2018.Abdelbaset Almasri, Adel Ahmed, Naser Al-Masri, Yousef Abu Sultan, Ahmed Y. Mahmoud, Ihab Zaqout, Alaa N. Akkila & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (5):21-37.
    The main goals of Intelligent Tutoring Systems (ITS) are: providing highly developed instructional guidance on a one-to-one foundation that is improved than what is attained with traditional computer aided instruction and is analogous to that of a decent human tutor; and developing and testing models of intelligent processes associated with instruction. ITS is a subfield of artificial intelligence. ITS consists of four interacting components: the student model which embodies the student's present knowledge state, the pedagogical module which comprises appropriate instructional (...)
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  24. added 2020-02-10
    Silicosis Expert System Diagnosis and Treatment.Mohammed Ibraheem El Kahlout, Izzeddin A. Alshawwa, Hosni Qasim El-Mashharawi & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (5):1-8.
    Background Silicosis (particularly the acute form) is characterized by shortness of breath, cough, fever, and cyanosis (bluish skin). It may often be misdiagnosed as pulmonary edema (fluid in the lungs), pneumonia, or tuberculosis. Silicosis resulted in 46,000 deaths globally in 2013 down from 55,000 deaths in 1990. Objectives The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment by presenting suggestions on Silicosis disease to the user by asking about symptoms. Methods (...)
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  25. added 2020-02-10
    Kidney Expert System Diseases and Symptoms.Mohammed N. Abu Al-Qumboz, Abeer A. Elsharif, Ibtesam M. Dheir Samy & Samy S. Abu-Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (5):1-10.
    Kidneys are an important part of the human body, both sides of the spine and above the waist. The lower ribs protect the kidneys. In the kidneys there are filtration units which are tiny units and the functions of the kidney where the excess fluid and dissolved particles are filtered and converted to urine, purification and cleaning of blood, balancing the fluids contained in the body, production of the renin enzyme, which helps control blood pressure and adjust the level Salts (...)
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  26. added 2020-02-10
    Expert System for Castor Diseases and Diagnosis.Fatima M. Salman & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):1-10.
    Background: The castor bean is a large grassy or semi-wooden shrub or small tree. Any part of the castor plant parts can suffering from a disease that weakens the ability to grow and eliminates its production. Therefore, in this paper will identify the pests and diseases present in castor culture and detect the symptoms in each disease. Also images is showing the symptom form in this disease. Objectives: The main objective of this expert system is to obtain appropriate diagnosis of (...)
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  27. added 2020-02-10
    ITS for Data Manipulation Language (DML) Commands Using SQLite.Mahmoud Jamal Abu Ghali & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):57-92.
    In many areas, technology has facilitated many things, diagnosing diseases, regulating traffic and teaching students in schools rely on Intelligent systems to name a few. At present, traditional classroom-based education is no longer the most appropriate in schools. From here, the idea of intelligent e-learning for students to increase their culture and keep them updated in life began. E-learning has become an ideal solution, relying on artificial intelligence, which has a footprint in this through the development of systems based on (...)
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  28. added 2020-02-10
    ITS for Enhancing Training Methodology for Students Majoring in Electricity.Mohammed S. Nassr & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (3):16-30.
    This thesis focuses on the use of intelligent tutoring system for education and training of students specialized in electricity in the field of technical and vocational education. The use of modern systems in training and education will have a great positive impact in improving the level of students receiving training and education; this will improve the level of the local economy by producing students of professionals who are able to engage in society efficiently, especially for those who have specialized in (...)
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  29. added 2020-02-10
    E-Advertising and Its Impact on Achieving Institutional Excellence in Palestine Technical College.Abdalqader A. Msallam, Amal A. Al Hila, Samy S. Abu Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Management Science Research (IJAMSR) 3 (9):56-66.
    The study aimed to identify the impact of electronic advertising on institutional excellence in Palestine Technical College Dair Al Balah. The study was based on the descriptive analytical method. The study population consisted of the staff of Palestine Technical College in Dair Al Balah, where the researchers used the comprehensive survey method, 70 questionnaires were distributed to the study population and 61 questionnaires were obtained, with a retrieval rate of 87.14%. Arbitrated by a number of specialists in order to obtain (...)
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  30. added 2020-02-06
    Building Ontologies with Basic Formal Ontology.Robert Arp, Barry Smith & Andrew D. Spear - 2015 - Cambridge, MA: MIT Press.
    In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of (...)
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  31. added 2020-01-31
    The Web‐Extended Mind.Paul R. Smart - 2012 - Metaphilosophy 43 (4):446-463.
    This article explores the notion of the Web-extended mind, which is the idea that the technological and informational elements of the Web can sometimes serve as part of the mechanistic substrate that realizes human mental states and processes. It is argued that while current forms of the Web may not be particularly suited to the realization of Web-extended minds, new forms of user interaction technology as well as new approaches to information representation do provide promising new opportunities for Web-based forms (...)
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  32. added 2020-01-28
    The Eyes of God.Nigel R. Shadbolt & Paul Smart - 2020 - In Timothy Shanahan & Paul R. Smart (eds.), Blade Runner 2049: A Philosophical Exploration. Abingdon, UK: pp. 206–227.
  33. added 2020-01-28
    Where the Smart Things Are: Social Machines and the Internet of Things.Paul Smart, Aastha Madaan & Wendy Hall - 2019 - Phenomenology and the Cognitive Sciences 18 (3):551-575.
    The emergence of large-scale social media systems, such as Wikipedia, Facebook, and Twitter, has given rise to a new multi-disciplinary effort based around the concept of social machines. For the most part, this research effort has limited its attention to the study of Web-based systems. It has also, perhaps unsurprisingly, tended to highlight the social scientific relevance of such systems. The present paper seeks to expand the scope of the social machine research effort to encompass the Internet of Things. One (...)
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  34. added 2020-01-07
    Computational Logic. Vol. 1: Classical Deductive Computing with Classical Logic. 2nd Ed.Luis M. Augusto - 2020 - London: College Publications.
    This is the 2nd edition of Computational logic. Vol. 1: Classical deductive computing with classical logic. This edition has a wholly new chapter on Datalog, a hard nut to crack from the viewpoint of semantics when negation is included.
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  35. added 2020-01-01
    Rickets Diagnoses and Treatment Expert System.Hazzemi Rekhawi, Abdulah Ayad & Massoud Agha - 2017 - International Journal of Engineering and Information Systems 1 (4):149-159.
    Background: The epidemic scourge of rickets in the 19th century was caused by vitamin D deficiency due to inadequate sun exposure and resulted in growth retardation, muscle weakness, skeletal deformities, hypocalcemia, tetany, and seizures. The encouragement of sensible sun exposure and the fortification of milk with vitamin D resulted in almost complete eradication of the disease. Objectives: this paper is going to resolve the exiting problems of rickets by correctly diagnosing and offering the proper treatment. Methods: In this paper, we (...)
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  36. added 2019-12-16
    From Biological to Synthetic Neurorobotics Approaches to Understanding the Structure Essential to Consciousness (Part 2).Jun Tani & Jeff White - 2016 - APA Newsletter on Philosophy and Computers 2 (16):29-41.
    We have been left with a big challenge, to articulate consciousness and also to prove it in an artificial agent against a biological standard. After introducing Boltuc’s h-consciousness in the last paper, we briefly reviewed some salient neurology in order to sketch less of a standard than a series of targets for artificial consciousness, “most-consciousness” and “myth-consciousness.” With these targets on the horizon, we began reviewing the research program pursued by Jun Tani and colleagues in the isolation of the formal (...)
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  37. added 2019-12-12
    Breast Cancer Knowledge Based System.Suheir H. Almurshidi & Samy S. Abu-Naser - 2018 - International Journal of Academic Health and Medical Research (IJAHMR) 2 (12):7-22.
    The Knowledge Based System for Diagnosing Breast Cancer is used to assist medical students to improve their education on diagnosis and counseling the process of analyzing the biopsy image of the microscope, determining the type of tumor and the treatment method for each case and identifying the disease related questions. According to the Ministry of Health in its annual report in Gaza, between 2009 and 2014 there are 7069 cases of breast cancer, and in 2014 there are 1502 cases of (...)
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  38. added 2019-12-12
    Intelligent Tutoring System for Mathematics.Nour Eloun & Suheir Elmurshidi - 2017 - International Journal of Advanced Scientific Research 2 (1):11-16.
    In these days, there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching mathematics that help students understand the basics of math and that helps a lot of students of all ages to understand the topic because it's important for students of adding and subtracting. Through which the student will be able to study the course and solve related problems. An evaluation (...)
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  39. added 2019-12-12
    Stomach Disease ITS.Suheir H. Almurshidi - 2017 - International Journal of Advanced Research and Development 2 (1):26-30.
    This paper aims is to present the design and development of an intelligent tutoring system for teaching students about stomach diseases to help and give them a clear idea about stomach ulcer diseases. Furthermore, the researchers designed an intelligent tutoring system with a clear interface including 3D animation with Delphi that show how the ulcer appears in the stomach with more details about the disease, after that there are some questions researchers going to adopt from clinical books about the diseases (...)
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  40. added 2019-12-08
    ITS for Photoshop - CS6.Mohammed Z. Shath, Monnes Hanjory & Rami ALdahdoh - 2017 - International Journal of Academic Research and Development 2 (1):81-86.
    In this paper, we designed and developed an intelligent tutoring system for teaching Photoshop. We designed the lessons, examples, and questions in a way to teach and evaluate student understanding of the material. Through the feedback provided by this tool, you can assess the student's understanding of the material, where there is a minimum overshoot questions stages, and if the student does not pass the level of questions he is asked to return the lesson and read it again. Eventually this (...)
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  41. added 2019-12-06
    ITS for Cloud Computing.Hasan Abu Hasanen & Monnes Hanjory - 2017 - International Journal of Academic Research and Development 2 (1):76-80.
    Intelligent tutoring system (ITS) is a computer system which aims to provide immediate and customized or reactions to learners, usually without the intervention of human teacher's instructions. Secretariats professional to have the common goal of learning a meaningful and effective manner through the use of a variety of computing technologies enabled. There are many examples of professional Secretariats used in both formal education and in professional settings that have proven their capabilities. There is a close relationship between private lessons intelligent, (...)
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  42. added 2019-12-05
    An Expert System For Diagnosing Eye Diseases Using Clips.S. S. Abu Naser & O. A. Abu Zaiter - 2008 - Journal of Theoretical and Applied Information Technology 4 (10):923-930.
    This work presents the design of an expert system that aims to provide the patient with background for suitable diagnosis of some of the eye diseases. The eye has always been viewed as a tunnel to the inner workings of the body. There are many disease states that may produce symptoms from the eye. CLIPS language is used as a tool for designing our expert system. An initial evaluation of the expert system was carried out and a positive feedback was (...)
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  43. added 2019-11-27
    Ars Informatica.Tommaso Castiglione Ferrari - 2019 - Dissertation,
    Dalla sua nascita, l’informatica è risultata una disciplina apolide*. Le sue caratteristiche la rendono una materia che non rientra totalmente in nessuno dei domini tradizionali ufficialmente riconosciuti. Svariate discussioni si sono sollevate nel corso della sua breve storia, affermando come questa facesse integralmente parte a questo o quel dominio. Eppure nessuno è riuscito finora a convincere il mondo accademico dell’assoluta associazione dell’informatica ad una di esse. L’unico punto di apparente concordo riguarda l’affermazione della non appartenenza dell’informatica al dominio dell’arte. L’obbiettivo (...)
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  44. added 2019-11-25
    Ethical Aspects of Multi-Stakeholder Recommendation Systems.Silvia Milano, Mariarosaria Taddeo & Luciano Floridi - manuscript
    This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm underlying RSs? Our main finding is that multistakeholder RSs (MRSs) are designed and theorised, methodologically, according to neoclassical welfare (...)
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  45. added 2019-11-15
    Ranking Theory.Gabriele Kern-Isberner, Niels Skovgaard-Olsen & Wolfgang Spohn - forthcoming - Knauff, M. & Spohn, W. (Eds). The Handbook of Rationality. MIT Press.
    Ranking theory is one of the salient formal representations of doxastic states. It differs from others in being able to represent belief in a proposition (= taking it to be true), to also represent degrees of belief (i.e. beliefs as more or less firm), and thus to generally account for the dynamics of these beliefs. It does so on the basis of fundamental and compelling rationality postulates and is hence one way of explicating the rational structure of doxastic states. Thereby (...)
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  46. added 2019-11-08
    Blood Donation Prediction Using Artificial Neural Network.Eman Alajrami, Bassem S. Abu-Nasser, Ahmed J. Khalil, Musleh M. Musleh, Alaa M. Barhoom & S. S. Abu Naser - 2019 - International Journal of Academic Engineering Research (IJAER) 3 (10):1-7.
    The aim of this research is to study the performance of JustNN environment that have not been previously examined to care of this blood donation problem forecasting. An Artificial Neural Network model was built to understand if performance is considerably enhanced via JustNN tool or not. The inspiration for this study is that blood request is steadily growing day by day due to the need of transfusions of blood because of surgeries, accidents, diseases etc. Accurate forecast of the number of (...)
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  47. added 2019-10-11
    Logikdiagramme und Logikmaschinen aus der Zittauer Schule um Christian Weise.Jens Lemanski - 2019 - Neues Lausitzische Magazin 141 (1):39-57.
    A particularly promising trail on the search for forgotten logic diagrams leads to Upper Lusatia in the 17th century, more precisely to Christian Weise and his students. Samuel Grosser, who later became rector in Görlitz, and Johann Christian Lange, who later became professor of logic at the University of Gießen, are the most prominent to have published remarkable logic diagrams. Even more remarkable, however, is the fact that Lange's interest in these diagrams ultimately gave rise to the idea of building (...)
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  48. added 2019-09-27
    Computer Science and Metaphysics: A Cross-Fertilization.Edward N. Zalta, Christoph Benzmüller & Daniel Kirchner - 2019 - Open Philosophy 2 (1):230-251.
    Computational philosophy is the use of mechanized computational techniques to unearth philosophical insights that are either difficult or impossible to find using traditional philosophical methods. Computational metaphysics is computational philosophy with a focus on metaphysics. In this paper, we develop results in modal metaphysics whose discovery was computer assisted, and conclude that these results work not only to the obvious benefit of philosophy but also, less obviously, to the benefit of computer science, since the new computational techniques that led to (...)
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  49. added 2019-09-19
    24th European Summer School on Logic, Language and Information.Janusz Czelakowski, Urszula Wybraniec-Skardowska & Jacek Waldmajer - 2013 - Bulletin of Symbolic Logic 19 (4):519-522.
    The European Summer Schools in Logic, Language and Information (ESSLLI) have been organised every year since 1989 under the auspices of the Association for Logic, Language and Information (FoLLI) in different cities around Europe. The 24th European Summer School in Logic, Language and Information (ESSLLI 2012) took place at the University of Opole, Poland, during August 6-17, 2012. The organisation committee was chaired by Janusz Czelakowski and Urszula Wybraniec-Skardowska (Institute of Mathematics and Informatics, University of Opole) and the programme committee (...)
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  50. added 2019-09-19
    Realistics Premises of Epistemic Argumentation for Dynamic Epistemic Logics.Edward Bryniarski, Zbigniew Bonikowski, Jacek Waldmajer & Urszula Wybraniec-Skardowska - 2011 - Studies in Logic, Grammar and Rhetoric 23 (36).
    In the paper, certain rational postulates for protocols describing real communicating are introduced.These rational postulates, on the one hand, allow assigning a certain typology of real systems of interactions, which is consistent with the reality of epistemic argumentation in systems of communicating, and on the other one – defining rules of using argumentation in real situations. Moreover, the presented postulates for protocols characterize information networks and administering knowledge in real interactivity systems. Due to the epistemic character of the considerations, the (...)
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