AUG Repository

Recently added

Department of Information Technology: Recent submissions

  • Alsaqqa, Azmi H.; Alkahlout, Mohammed A.; Abu-Naser, Samy S. (2021)
    Abstract: background: Dental and oral health is an essential part of your overall health and well-being. Poor oral hygiene can lead to dental cavities and gum disease, and has also been linked to heart disease, cancer, ...
  • Elhabil, Basel Y.; Abu-Naser, Samy S. (2021)
    Abstract— In this paper We're going to talk about science and symptoms for the clinical diagnosis of osteoarthritis of the hip enroll. In our Paper the diagnosis of osteoarthritis based the Expert system based on radiographic ...
  • Hamadaqa, Mohammed Hazem M.; Abu-Naser, Samy S. (2021)
    Abstract: Background: Hair loss is often a concern for women, men and children. It is normal to lose between 50 and 100 hairs a day, without us noticing it. Usually hair loss is a sign of a medical condition, some of them ...
  • Alfarra, Amjad H.; Samhan, Lamis F.; Abu-Naser, Samy S. (2021-07-30)
    In fact, people get neck problems due to something such as sports or woke and Wrong sleep habits. In this paper an expert system was designed to help users to correctly diagnose neck problems world (muscle spasm, Muscle ...
  • Kalb, Nidaa Samir; Al-Najjar, Yasmine Ahmed; Ahmed, Karam Omar (2021)
    Abstract: Cardiovascular diseases kill approximately 18 million people every year worldwide, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure occurs when the heart cannot pump enough blood ...
  • Al-Dalu, ahmoud Hatem; Al-Banna, Nizar Jalal; al-Qumbuz, Yahya Izzat Abu (2021)
    Abstract: Printers are always seeking higher productivity by increasing their production rates and minimizing process delays. When process delays have known causes, they can be mitigated by acquiring causal rules from human ...
  • El-Mahelawi, Jamal Khamis; Abu-Daqah, Jinan Usama; Abu-Latifa, Rasha Ibrahim (2021)
    Abstract: Tumor is a group of diseases that involve abnormal increases in the number of cells, with the potential to invade or spread to other parts of the body. Not all tumors or lumps are cancerous; benign tumors are not ...
  • Abu Kweik, Ola Mohammed; Abu Hamid, Mohammed Atta; Sheqlieh, Samer Osama (2021)
    Abstract: The effectiveness of cancer prediction system helps the people to know their cancer risk with low cost and it also helps the people to take the appropriate decision based on their cancer risk status. The dataset ...
  • Belbeisi, Hisham Ziad; Al-Awadi, Youssef Samir; Abbas, Muhammad Munir (2021)
    Abstract: 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 ...
  • Al Barsh, Yara Ibrahim; Duhair, Maram Khaled; Ismail, Hassan Jassim (2021)
    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 ...
  • Mohammed, Ghaida Riyad; Abu Shbikah, Jaffa Riad; Al-Zamili, Mohammed Majid (2021)
    Abstract: Abalones have long been a valuable food source for humans in every area of the world where a species is abundant. Predicting the age of abalone is done using physical measurements. The age of abalone is determined ...
  • Habib, Nadia Shaker; Abu Maghasib, Omar Kamal; Al-Ghazali, Ahmed Rashad (2021)
    Abstract: The establishment of the transport infrastructure is usually preceded by an EIA procedure, which should determine amphibian breeding sites and migration routes. However, evaluation is very difficult due to the ...
  • Abu Oriban, Ahmed Jabara; Abdel-Al, Shaima Naji; Fouda, Nourhan Abdel Moneim (2021)
    Abstract: In this research, an Artificial Neural Network (ANN) model was developed and validated to predict efficiency of antibiotics in treating various bacteria types. Attributes that were taken in account are: organism ...
  • Al-Kahlout, Baraa Iyad; Naeem, Musab Maher; Shepherd, Mohammed Jihad (2021)
    Abstract: Classification of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are classified into six categories. The aim of this paper is to use the Artificial Neural ...
  • Muhammad Abdul-Mahdi Al-Khalidi, Mohammed Abdul Hay Abu Bakr, Haitham Maher Al-Attar, Nader Kamal Mahra (2021)
    Breast Cancer is mostly identified amongst women and is a main reason for increasing the rate of mortality amongst women. Diagnosis of breast cancer takes time and due to the importance of the topic, it is necessary to ...
  • Youssef Nidal Al-Jazzar, Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh (2021)
    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 ...
  • Mohammed Ziyad Abu Shawarib, Ahmed Essam Abdel Latif, Bashir Essam El-Din Al-Zatmah (2021)
    Breast cancer is reported to be the most common cancer type among women worldwide and it is the second highest women fatality rate amongst all cancer types. Notwithstanding all the progresses made in prevention and early ...
  • Mohammed Khaled Al-Gharabawi, Rand Suhail Abu Al-Araj, Shaima Khalil Abed, Ahmed Nabil Al-Ghoul (2021)
    Over 1.5 million living animal species have been described-of which around 1 million are insects-but it has been estimated there are over 7 million animal species in total. Animals range in length from 8.5 micrometres to ...
  • Alaa Mazen Maghari, Iman Ali Al-Najjar, Said Jamil Al-laqtah (2021)
    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 ...
  • Muhammad Ibrahim Abu Jamus, Mohammed Nafez Abu Samra, Bilal Ezz El-Din Abed, Hossam Abdel Nasser Zaqout (2021)
    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 ...

Search DSpace


Advanced Search

Browse

My Account