Browsing Faculty Of Computer Science Research Paper by Title

Browsing Faculty Of Computer Science Research Paper by Title

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  • KDPMEL: A Knowledge Discovery Process Modeling and Enacting Language 
    A. Mansour, Hesham (The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2016)
    Knowledge Discovery in Databases (KDD) is a complex process that is highly interactive and iterative. Managing the process and its underlying resources and interacting activities is a very complex task. Today, KDD projects ...
  • Lake Data Warehouse Architecture for Big Data Solutions 
    Saddad, Emad; Mokhtar, Hoda M. O.; El-Bastawissy, Ali; Hazman, Maryam (SAI, 2020)
    Traditional Data Warehouse is a multidimensional repository. It is nonvolatile, subject-oriented, integrated, time- variant, and non-operational data. It is gathered from multiple heterogeneous data sources. We need to ...
  • A Language-Based and Process-Oriented Approach for Supporting the Knowledge Discovery Processes 
    A. Mansour, Hesham; Duchamp, Daniel; Krapp, Carl-Arndt (The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2015)
    Knowledge Discovery in Databases (KDD) processes are complex, highly interactive and iterative. The similarities between KDD processes and software development processes suggest that approaches used to manage the development ...
  • A Large Dataset Enhanced Watermarking Service for Cloud Environments 
    Zawawi, Nour; Hamdy, Mohamed; El-Gohary, Rania; Fahmy Tolba, Mohamed (Springer, Cham, 11/28/2014)
    Preventing data abuses in cloud remains an essential point of the research. Proving the integrity and non-repudiation for large datasets over the cloud has an increasing attention of database community. Having security ...
  • Limitations of current security measures to address information leakage attacks 
    Hussein, Omar; Hamza, Nermin; Hefny, Hesham (International Journal of Computer Science and Information Security, 2014)
    Information leakage attacks represent a serious threat for their widespread and devastating effects. Their significance stems from the fact that they are committed by an organization’s authorized computer users, and/or ...
  • A mapping approach for fully virtual data integration system processes 
    El Qutaany A.Z.; Hegazi O.M.; El Bastawissy A.H. (Science and Information Organization, 2018)
    Nowadays, organizations cannot satisfy their information needs from one data source. Moreover, multiple data sources across the organization fuels the need for data integration. Data integration system's users pose queries ...
  • A mapreduce fuzzy techniques of big data classification 
    El Bakry M.; Safwat S.; Hegazy O. (Institute of Electrical and Electronics Engineers Inc., 2016)
    Due to the huge increase in the size of the data it becomes troublesome to perform efficient analysis using the current traditional techniques. Big data put forward a lot of challenges due to its several characteristics ...
  • Modeling Distribution and Exchange of Domain Knowledge in Multi-agent Environment 
    Soliman, Ashraf; Salah, Akram; Hefny, Hesham (Department of Computer Sciences, Faculty of Computers and Information, Cairo University, 2017)
    Multi-agent systems often dedicate a shared centralized ontology as domain knowledge but unfortunately they completely neglect the decentralized nature of domain knowledge. This nature implies distributing domain knowledge ...
  • Modifying the logic gate symbols to enrich the designing of the computer systems by 3-D bit-matrices 
    Badr, Assem) (ELSEVIER SCIENCE BV, 2018-12)
    Recently, the most computer and digital systems are built based on the parallelism to increase their speed of processing. The complications of these systems are increasing proportionally with the complexity of the used ...
  • MSR-YOLO: Method to Enhance Fish Detection and Tracking in Fish Farms 
    Mohamed, Hussam El-Din; Fadl, Ali; Anas, Omar; Wageeh, Youssef; ElMasry, Noha; Nabil, Ayman; Atia, Ayman (Elsevier, 2020-02)
    Tasks involving the monitoring of fish farms such as controlling fish ponds is one of the expensive and difficult tasks for fish farmers. Usually, fish farmers are doing these tasks manually which costs them time and money. ...
  • Multi-level continuous skyline queries (MCSQ) 
    El-Dawy, Eman; MO Mokhtar, Hoda; El-Bastawissy, Ali (IEEE, 2011)
    Most of the current work on skyline queries mainly dealt with querying static query points over static data sets. With the advances in wireless communication, mobile computing, and positioning technologies, it has become ...
  • Multi-Sensor Fusion for Online Detection and Classification of Table Tennis Strokes 
    Hegazy, H; Abdelsalam, M; Hussien, M; Elmosalamy, S; Hassan, Y; Nabil, A; Atia, A (Intelligent Network and Systems Society, 2021-03)
    Sports training generally focuses on speed of response and variety of strategies aimed at encouraging sustainable physical activity and improving learning skills for players, thus, enhance their performance and skills ...
  • Multimodal Biometrics Cryptosystem using Elliptic Curve 
    Abdelhady, Ghada; Ismail, Mohammed; Elbehiery, Hussam (2014)
    Biometrics is a technology that strives towards identifying or authenticating the identity of a living person based on biological key that make the process definitive and effortless. A person's live biometric data is being ...
  • Naïve Bayes classifier assisted automated detection of cerebral microbleeds in susceptibility-weighted imaging brain images 
    Ateeq, Tayyab; Bin Faheem, Zaid; Ghoneimy, Mohamed; Ali, Jehad; Li, Yang; Baz, Abdullah (National Research Council of Canada, 2023-12)
    Cerebral microbleeds (CMBs) in the brain are the essential indicators of critical brain disorders such as dementia and ischemic stroke. Generally, CMBs are detected manually by experts, which is an exhaustive task with ...
  • Neural Network with Adaptive Learning Rate 
    Nagib, A.E.; Mohamed Saeed, M.; El-Feky, S.F.; Khater Mohamed, A. (Institute of Electrical and Electronics Engineers Inc., 2020-10)
    Over the last two decades, the neural network has surprisingly arisen as an efficient tool for dealing with numerous real-life applications. Optimization of the hyperparameter of the neural network attracted many researchers ...
  • New DES based on Elliptic Curves 
    Abdelmouez M., Ghada Fathy; . Helail, S; A. Elkouny, Abdellatif (World Academy of Science, Engineering and Technology, 2010)
    DES was published by the United States' National Bureau of Standards in January 1977 as an algorithm to be used for unclassified data. The algorithm had been used in banks for funds transfer security [2]. DES encryption ...
  • A New Hybrid KNN Classification Approach based on Particle Swarm Optimization 
    Kadry, Reem; Ismael, Osama (SCIENCE & INFORMATION SAI ORGANIZATION LTD, 19 BOLLING RD, BRADFORD, WEST YORKSHIRE, 00000, ENGLAND, 2020-11)
    K-Nearest Neighbour algorithm is widely used as a classification technique due to its simplicity to be applied on different types of data. The presence of multidimensional and outliers data have a great effect on the ...
  • A New Technique of Modeling Acoustic Echo and its Implementation Using FPGA 
    Nassar, Amin Mohamed (IEEE, 2008)
    We propose an integrated acoustic echo cancellation solution based on using multiple of small adaptive filters rather than using one long adaptive filter. A new approach is proposed using the concept of decomposing the ...
  • A Novel Approach to Address Information Leakage Attacks Based on Machine Virtualization 
    Hussein, Omar; Hamza, Nermin; Hefny, Hesham (LJS Publishing, 2014)
    In a traditional non-virtualized computer system the whole software stack is highly vulnerable to security breaches. This is mainly caused by the coexistence of deployed security systems in the same space as the potentially ...
  • A novel approach to formalize Object-Oriented Design Metrics 
    El-Wakil, M; El-Bastawisi, Ali; Riad, M; Fahmy, A (2005)
    Despite the extensive and solid research literature on Object-Oriented Design Metrics (OOD Metrics), a recent survey that was conducted to assess the exploitation of metrics collection and analysis ...

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