Browsing Faculty Of Computer Science Research Paper by Title

Browsing Faculty Of Computer Science Research Paper by Title

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  • Hexart: Smart Merged Touch Tables 
    Sami, Ahmed; Essam, Alaa; Mohamed, Esraa; Ahmed, Saleh; M Zakzouk, Abdallah; Attia, Moustafa; Atia, Ayman (SPRINGER, 2016)
    Hexart is a multi-touch tables system based on FTIR utilizing hexagon shaped tables, We designed Hexart for people needs in a group activities. Our paper illustrates the proposed system to eliminate common challenges in ...
  • HSBS: A human's heat signature and background subtraction hybrid approach for crowd counting and analysis 
    Negied N.K.A.-W.; Hemayed E.B.; Fayek M. (World Scientific Publishing Co. Pte Ltd, 2016)
    This work presents a new approach for crowd counting and classification based upon human thermal and motion features. The technique is efficient for automatic crowd density estimation and type of motion determination. Crowd ...
  • Human Activity Recognition in Car Workshop 
    Magdy, Omar; Attia, Ayman (Science and Information Organization, 2022-05)
    Human activity recognition has become so widespread in recent times. Due to the modern advancements of technology, it has become an important solution to many problems in various fields such as medicine, industry, and ...
  • Hybrid Algorithm for Rough Multi-level Multi-objective Decision Making Problems 
    El-Feky S.F.; Abou-El-Enien T.H.M. (International Information and Engineering Technology Association, 2019)
    The purpose of this paper is to generate compromise solutions for the multi-level multiobjective decision making (MLMODM) problems with rough parameters in the objective functions (RMLMODM) based on TOPSIS method and "Lower ...
  • A hybrid dragonfly algorithm with extreme learning machine for prediction 
    Salam, Abdul Mustafa; Zawbaa, Hossam (IEEE, 2016)
    In this work, a proposed hybrid dragonfly algorithm (DA) with extreme learning machine (ELM) system for prediction problem is presented. ELM model is considered a promising method for data regression and classification ...
  • A hybrid filtering approach for storage optimization in main-memory cloud database 
    Afify G.M.; El Bastawissy A.; Hegazy O.M. (Elsevier B.V., 2015)
    Enterprises and cloud service providers face dramatic increase in the amount of data stored in private and public clouds. Thus, data storage costs are growing hastily because they use only one single high-performance storage ...
  • Hyperparameters Optimization of Deep Convolutional Neural Network for Detecting COVID-19 Using Differential Evolution 
    Ezzeldin Nagib, Abdelrahman; Saeed, Mostafa Mohamed; El-Feky, Shereen Fathy; Khater Mohamed, Ali (Springer, 01/01/2022)
    COVID-19 is one of the most dangerous diseases that appeared during the past 100 years, that caused millions of deaths worldwide. It caused hundreds of billions of losses worldwide as a result of complete business paralysis. ...
  • ICCPN: Interval-based Conditional Colored Petri Net 
    MA Helal, Iman; El-Bastawissy, Ali; Hegazy, Osman (IEEE, 2010)
    Nowadays, rules make part of any software system including real-time applications and games, meanwhile an event can trigger many different rules according to the conditions controlling these rules. Although rules are core ...
  • iKarate: Improving Karate Kata 
    Emad, Bassel; Atef, Omar; Shams, Yehya; El-Kerdany, Ahmed; Shorim, Nada; Nabil, Ayman (Elsevier, 2020-01)
    Scopus
  • Implementation of new symmetric ciphering on ATMEGA 32 
    M. Elbehiery, Hussam; M. Ghada, Abdelmouez (IEEE, 2010)
    It is widely recognized that data security will play a central role in the design of future IT systems. Many of those IT applications will be realized as embedded systems, which rely heavily on security mechanisms. Examples ...
  • Improving classical scoring functions using random forest: The non-additivity of free energy terms’ contributions in binding 
    Afifi K.; Al-Sadek A.F. (Blackwell Publishing Ltd, 2018)
    Despite recent efforts to improve the scoring performance of scoring functions, accurately predicting the binding affinity is still a challenging task. Therefore, different approaches were tried to improve the prediction ...
  • Inconsistency Resolution In The Virtual Database Environment Using Fuzzy Logic 
    Abdelrahman, Amr; El-Bastawissy, Ali; Kholief, Mohamed (Mohamed, 2016)
    Data integration from different data sources may result in data inconsistencies due to different representation of the same objects at the data source. Many researchers have tried to solve this problem manually or using ...
  • Incorporating Connectivity in k-Nearest Neighbors Regression 
    Mahfouz, Mohamed A (2023-07)
    The standard k-nearest neighbors' approach to regression analysis encounters a number of problems when used on datasets with various density distributions. This paper proposes a kNNR-relative ensemble regressor based on ...
  • An integrated classification method for brain computer interface system 
    Mousa, Farid A.; El-Khoribi, Reda A.; Shoman, Mahmoud E. (IEEE, 10/07/2015)
    A channel of communication for both human brain and computer system is provided via a system called Brain Computer Interface (BCI). The vital aim of BCI research is to develop a system that helps the disabled people to ...
  • An Integrated Security Framework for Access Control and Address Auto-Configuration for MANETs 
    Zakaria E.E.; Hamza H.S.; Saroit I.A. (Institute of Electrical and Electronics Engineers Inc., 2016)
    As mobile ad-hoc networks (MANETs) continue to receive an increasing attention in research due to its vast amount of applications, security is becoming one of the main research challenges. Most of the proposed research in ...
  • Intelligent urban transport tracking and management system 
    Mohamed S.I. (International Journal of Scientific and Technology Research, 2019)
    Egypt�s current bus system is large enough to satisfya significant portion of the populations demand, yet fails to do sodue t o mismanaged resources. Static lines and unclear schedulescreate a confusing and unappealing ...
  • Interaction With Tilting Gestures In Ubiquitous Environments 
    Atia, Ayman (International Journal Of UbiComp, 2010)
    In this paper, we introduce a tilting interface that controls direction based applications in ubiquitous environments. A tilt interface is useful for situations that require remote and quick ...
  • Interactive Gestures for Liver Angiography Operation 
    A Elmanakhly, Dina; Atia, Ayman; A Rashed, Essam; M Mostafa, Mostafa-Samy (SPRINGER, 2016)
    The main challenge of creating large interactive displays in the operating rooms (ORs) is in the definition of ways that are efficient and easy to learn for the physician. Apart from traditional input methods such as mouse ...
  • Internal Security Policy and Data Integrity Verification 
    A. EL-LICY, FATMA; HUSSEIN, OMAR; HEGAZY, OSMAN (Institute of Statistical Studies and Research, Cairo University, 2010)
    This paper presents a method to safeguard stored data integrity from attacks committed by insiders. This method forms an additional data security layer to detect and prevent unauthorized modification to critical configuration ...
  • IoT System Based on parameter optimization of Deep Learning using Genetic Algorithm 
    Slim, S.O; Elfattah, M.M.A; Atia, A; Mostafa, M.-S.M (Intelligent Network and Systems Society, 2021-03)
    View references (73) Nowadays, more and more human activity recognition (HAR) tasks are being solved with deep learning techniques because it’s high recognition rate. The architectural design of deep learning is a challenge ...

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