Browsing Faculty Of Computer Science Research Paper by Title

Browsing Faculty Of Computer Science Research Paper by Title

Sort by: Order: Results:

  • Can pose classification be used to teach Kickboxing? 
    Wessa, Eriny; Ashraf, Abdelaziz; Atia, Ayman (Institute of Electrical and Electronics Engineers Inc, 2021-12)
    Kickboxing is a combat sport, based on kicking, punching, Knee and elbow strikes and defence moves. Every kickboxing technique needs to be preformed a specific way, As there is correct postures and wrong postures to every ...
  • Chicken Behavior Analysis for Surveillance in Poultry Farms 
    Mohialdin, Abdallah Mohamed; Elbarrany, Abdullah Magdy; Atia, Ayman (Science and Information Organization, 2023-03)
    Poultry farming is an important industry that provides food for a growing population. However, the welfare of the birds is a major concern, as poor living conditions leads to abnormal behavior that affects the health ...
  • Circulating tumor and cancer stem cells in hepatitis C virus-associated liver disease 
    A Bahnassy, Abeer; N Zekri, Abdel-Rahman; El-Bastawisy, Ahmed; Fawzy, Amal; Shetta, Marwa; Hussein, Nehal; Omran, Dalia; AS Ahmed, Abdallah; S El-Labbody, Samir (Baishideng Publishing Group Inc, 2014)
    AIM: To assess the role of circulating tumor cells (CTCs) and cancer stem cells (CSCs) in hepatitis C virus (HCV)-associated liver disease. METHODS: Blood and/or tissue samples were obtained from HCV (genotype 4)-associated ...
  • Classification of DNA Sequence Based on a Non-gradient Algorithm: Pseudoinverse Learners 
    Mahmoud, Mohammed A. B (Springer, 2024-04)
    This chapter proposes a prototype-based classification approach for analyzing DNA barcodes that uses a spectral representation of DNA sequences and a non-gradient neural network. Biological sequences can be viewed as data ...
  • Classification of tumors based on distinguishing possibilistic biclusters 
    Mahfouz, Mohamed A (IEEE, 2023-07)
    The application of machine learning techniques to analyze very high dimensional gene expression data in order to uncover the underlying biological mechanisms of complex diseases is one of the most crucial bioinformatics ...
  • Clinical Prediction of Teeth Periapical Lesion based on Machine Learning Techniques 
    Eid Mahmoud, Yasmine; Safwat Labib, Soha; M. O. Mokhtar, Hoda (The Second International Conference on Digital Information Processing, Data Mining, and Wireless Communications, 2015)
    Dentists used to diagnose teeth periapical lesion according to patient’s dental x-ray. But most of the time there were a problematic issue to reach a definitive diagnosis. It takes too much time, case and chief complaint ...
  • Comparative study for Stylometric analysis techniques for authorship attribution 
    Raafat, M.A; El-Wakil, R.A-F; Atia, A (5/27/2021)
    A text is a meaningful source of information. Capturing the right patterns in written text gives metrics to measure and infer to what extent this text belongs or is relevant to a specific author. This research aims to ...
  • Comparative study of clustering medical images 
    Fayez M.; Safwat S.; Hassanein E. (Institute of Electrical and Electronics Engineers Inc., 2016)
    Due to the fast growing of the images data repositories, there is a big challenge to organize these repositories and make them easy to search and mine to get knowledge. Image clustering goal is to link each image in an ...
  • A Comparative Study of Game Tree Searching Methods 
    El-Deeb, Hesham; Gadallah, Mahmoud; Aziem, Mostafa Abdel; Elnaggar, Ahmed A (SCIENCE & INFORMATION SAI ORGANIZATION LTD, 2014-05)
    In this paper, a comprehensive survey on gaming tree searching methods that can use to find the best move in two players zero-sum computer games was introduced. The purpose of this paper is to discuss, compares and analyzes ...
  • A Comparative Study of Machine Learning and Deep Learning in Network Anomaly-Based Intrusion Detection Systems 
    Abdel-Wahab, M.S; Neil, A.M; Atia, A (Institute of Electrical and Electronics Engineers Inc., 2020-12)
    This paper presents a comparative study of Machine learning and Deep learning models used in anomaly-based network intrusion detection systems. The paper has presented an overview of the previous work done in the field of ...
  • Comparative Study of Record Linkage Approaches for Big Data 
    Abd El-Ghafar, Randa M; El-Bastawissy, Ali; Nasr, Eman; Gheith, Mervat H. (Walailak University, 2020-06)
    Record linkage is a challenging task for Big Data. This paper presents a comparative study of record linkage approaches for Big Data. We compare based on three dimensions; record linkage phases, dataset properties, and ...
  • A comparative study to classify big data using fuzzy techniques 
    Labib S.S. (IEEE Computer Society, 2017)
    It is very difficult to implement an efficient analysis by using the customary techniques currently available; this is due to the fact that the data size has had a huge increase. Many complications were faced because of ...
  • Comparing Multi-class Approaches for Motor Imagery Using Renyi Entropy 
    Selim, Sahar; Tantawi, Manal; Shedeed, Howida; Badr, Amr (Springer International Publishing, 2019)
    One of the main problems that face Motor Imagery-based system is addressing multi-class problem. Various approaches have been used to tackle this problem. Most of these approaches tend to divide multi-class problem into ...
  • A comprehensive semi-analytical model of the polysilicon emitter contact in bipolar transistors 
    Zekry A.; Shaker A.; Ossaimee M.; Salem M.S.; Abouelatta M. (2018)
    This paper presents a design and implementation of two current relay prototypes. The first one is based on FPGA, it protects against over-current, phase loss and locked rotor. This design is implemented, downloaded and ...
  • Convolutional Constellation Mapping Technique for PAPR Reduction in Filter Bank Multi-Carrier 
    Eltholth, Ashraf A.; Gaber, Maha; Fouda, Mostafa M.; Mansour, Hala A. K. (IEEE, 2017)
    Filter Bank Multi-Carrier (FBMC), has been proposed to solve the problems of spectral efficiency and adjacent channel leakage power in OFDM. This solution has added implications for the Peak-to-Average Power Ratio (PAPR) ...
  • Cross Language Information Retrieval Model For Discovering WSDL Documents Using Arabic Language Query 
    Alsheref, Fahad Kamal; Khedr, Ayman E; Sultan, Torkey I (SCIENCE & INFORMATION SAI ORGANIZATION LTD, 2013-08)
    Web service discovery is the process of finding a suitable Web service for a given user's query through analyzing the web service's WSDL content and finding the best match for the user's query. The service query should be ...
  • Customer Churn Prediction Model using Data Mining techniques 
    Mitkees, Ibrahim M. M.; Badr, Sherif M.; ElSeddawy, Ahmed Ibrahim Bahgat (IEEE, 2017)
    A big problem that encounters businesses, especially telecommunications business is 'customer churn'; this occurs when a customer decides to leave a company's landline business for another cable competitor. Therefore, our ...
  • Data Quality Based Data Integration Approach 
    Samir Abdel-Moneim, Mohamed; Hamed El-Bastawissy, Ali; Hamed Kholief, Mohamed (World of Computer Science and Information TechnologyJournal (WCSIT), 2015)
    Data integration systems (DIS) are systems where query answers are collected from a set of heterogeneous and autonomous data sources. Data integration systems can improve results by detecting the quality of the data sources ...
  • Deducing Case IDs for Unlabeled Event Logs 
    Bayomie, Dina; MA Helal, Iman; Awad, Ahmed; Ezat, Ehab; ElBastawissi, Ali (Springer, Cham, 2016)
    Event logs are invaluable sources of knowledge about the actual execution of processes. A large number of techniques to mine, check conformance and analyze performance have been developed based on logs. All these techniques ...
  • Deep Learning-Based Alzheimer’s Disease Classification: An Experimental Study 
    Ayman, Mohamed; Darwish, Farah; Mohammed, Tukka; Mohammed, Ammar (IEEE, 2023-07)
    Alzheimer's disease poses a significant challenge to healthcare professionals due to its prevalence in dementia cases. Accurate and timely diagnosis is essential for effective management of patients. Magnetic resonance ...

Search MSAR


Advanced Search

Browse

My Account