Browsing Faculty Of Computer Science Research Paper by Title

Browsing Faculty Of Computer Science Research Paper by Title

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  • 4-BIT PIPELINE ADC FOR MONOLITHIC ACTIVE PIXEL SENSORS 
    Agieb, Ramy Said; El Ghitany, Hassan Ahmed; Shehata, Khaled Ali (AMER SOC MECHANICAL ENGINEERS, 2009)
    Low voltage low power 4-bits 90Ms/s, 40 mu w, with DNL (+0.19/-0.4)LSB and INL (+0.47/-0.46)LSB is designed using 0.13um UMC CMOS technology operated with 1.2V voltage supply. The converter is composed of three stages the ...
  • Adaptive guided differential evolution algorithm with novel mutation for numerical optimization 
    Wagdy Mohamed, Ali; Khater Mohamed, Ali (Springer Berlin Heidelberg, 2019)
    This paper presents adaptive guided differential evolution algorithm (AGDE) for solving global numerical optimization problems over continuous space. In order to utilize the information of good and bad vectors in the DE ...
  • ADVANCING DIABETIC FOOT ULCER DETECTION BASED ON RESNET AND GAN INTEGRATION 
    El-Kady, Ahmed Mostafa; Abbassy, Mohamed M; Ali, Heba Hamdy; Ali, Moussa Farid (Little Lion Scientific, 2024-03)
    Diabetes, characterized by the body's inability to effectively regulate sugar levels due to insulin complications, leads to various serious health issues. Among these, Diabetic Foot Ulcer stands out as a critical yet often ...
  • AEDA: Arabic edit distance algorithm Towards a new approach for Arabic name matching 
    H Abdel Ghafour, Hesham; El-Bastawissy, Ali; A Heggazy, Abdel Fattah (IEEE, 2011)
    String matching algorithms play a vital & crucial role in many applications such as search engines, object identification, hand written recognition, name searching in large databases, data cleansing, and automatic spell ...
  • Aero engines remaining useful life prediction based on enhanced adaptive guided diferential evolution 
    Abdelghafar, Sara ; Khater, Ali ; Wagdy, Ali ; Darwish, Ashraf ; Hassanien, Aboul Ella  (Springer Verlag, 2022-12)
    Remaining Useful Life (RUL) prediction is a key process for prognostic health management in almost all engineering real- world applications, especially which are in hazardous and challenging environments where the failures ...
  • Agile tailoring tool (ATT):A project specific agile method 
    El-Said S.M.; Hana M.; Eldin A.S. (2009)
    After decades from introducing and using agile methodologies, project mangers realized that no methodology is sufficient by itself. Thus, merging their principles is the solution yet no formal solution has been proposed. ...
  • AI-based Flexible Online Laboratory Learning System 
    Elmesalawy, M.M; Atia, A; Yousef, A.M.F; El-Haleem, A.M.A; Anany, M.G; Elmosilhy, N.A; Salama, A.I; Hamdy, A; Zoghby, H MK; Din, E.S.E (Institute of Electrical and Electronics Engineers Inc., 5/27/2021)
    The worldwide outbreak due to COVID-19 pandemic has led to a great interest in e-learning. However, the lack of suitable online laboratory management systems has posed a particular challenge for sectors that need laboratory ...
  • Amelio-rater: Detection and Classification of Driving Abnormal Behaviours for Automated Ratings and Real-Time Monitoring 
    El Masry, Noha; El-Dorry, Passant; El Ashram, Mariam; Atia, Ayman; Tanaka, Jiro (IEEE, 2018)
    Real-time monitoring of the drivers may be a factor that would force them to drive safely. In this paper, we introduce a system named 'Amelio-Rater", that focuses on detection and classification of abnormal driving behaviours ...
  • Anti-Bump: A Bump/Pothole Monitoring and Broadcasting System for Driver Awareness 
    Fekry, Mohamed; Hamdy, Aya; Atia, Ayman (SPRINGER, 2013)
    This paper presents a system for bump detection and alarming system for drivers. We have presented an architecture that adopts context awareness and Bump location broadcasting to detect and save bumps locations. This system ...
  • Applying Deep Learning to Track Food Consumption and Human Activity for Non-intrusive Blood Glucose Monitoring 
    Samir, Mohamed Amr; Mohamed, Zeinab A; Hussein, Mona Abdelmotaleb A; Atia, Ayman (Institute of Electrical and Electronics Engineers, 04/12/2021)
    Blood glucose monitoring is a wide area of research as it plays a huge part in controlling diabetes and many of its symptoms. A common human disease 'Diabetes Mellitus' (DM), which is characterized by hyperglycemia, has a ...
  • Applying machine learning techniques for classifying cyclin-dependent kinase inhibitors 
    Abdelbaky I.Z.; Al-Sadek A.F.; Badr A.A. (Science and Information Organization, 2018)
    The importance of protein kinases made them a target for many drug design studies. They play an essential role in cell cycle development and many other biological processes. Kinases are divided into different subfamilies ...
  • Automatic Identification of Student’s Cognitive Style from Online Laboratory Experimentation using Machine Learning Techniques 
    Yousef, Ahmed Mohamed Fahmy; Atia, Ayman; Youssef, Amira; Saad Eldien, Noha A; Hamdy, Alaa; Abd El-Haleem, Ahmed M; Elmesalawy, Mahmoud M (Institute of Electrical and Electronics Engineers, 04/12/2021)
    Online learning has emerged as powerful learning methods for the transformation from traditional education to open learning through smart learning platforms due to Covid-19 pandemic. Despite its effectiveness, many studies ...
  • Automatic scoring for answers to Arabic test questions 
    Gomaa, Wael Hassan; Fahmy, Aly Aly (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2014)
    Most research in the automatic assessment of free text answers written by students address English language. This paper handles the assessment task in Arabic language. This research focuses on applying multiple similarity ...
  • Autonomous Checkers Robot Using Enhanced Massive Parallel Game Tree Search 
    Elnaggar, Ahmed A.; Gadallah, Mahmoud; Aziem, Mostafa Abdel; Aldeeb, Hisham (IEEE, 2014)
    The dream of building intelligent robotic systems to interact and communicate with people and help them in their lives is a very old and ongoing study. In this research, the massive parallel autonomous checkers agent "MPACA" ...
  • Benchmarking the Higher Education Institutions in Egypt using Composite Index Model 
    Rashad M El-Hefnawy, Mohamed; Hamed El-Bastawissy, Ali; Ahmed Kadry, Mona (citseer, 2014)
    Egypt has the largest and most significant higher educationsystem in the Middle East and North Africa but ithad been continuously facing serious and accumulated challenges. The Higher Education Institutions ...
  • Blockchain for tracking serial numbers in money exchanges 
    Mohamed, Kareem; Aziz, Amr; Mohamed, Belal; Abdel‐Hakeem, Khaled; Mostafa, Mostafa; Attia, Ayman (WILEY, 2019)
    Money exchange is one of the most common day‐to‐day activities performed by humans in the daily market. This paper presents an approach to money tracking through a blockchain. The proposed approach consists of three main ...
  • BOEM: A Model for Automating Detection and Evolution of Distributed Ontologies in Multi-Agent Environment 
    Soliman, Ashraf; Salah, Akram; Hefny, Hesham (Institute of Statistical Studies and Research, Department of Computer Sciences, Faculty of Computers and Information, Cairo University, 2017)
    Knowledge gives a strong support to autonomous agents in multi-agent systems and thus the evolution of agent’s knowledge needs a great attention since it has a control on agents’ behaviors and has effect on their ...
  • Bovines Muzzle Classification Based on Machine Learning Techniques 
    Mousa, Farid Ali; Mahmoud, Hamdi A; El Hadad, Hagar M (Elsevier, 2015-11)
    Bovines muzzle classification is considered as a biometric classifier to maintain the safety of bovines and guarantee the livestock products. This paper presents two different bovines classifications models using Artificial ...
  • Brain computer interfacing: Applications and 
    Mostafa, Mostafa-Sami M.; Atia, Ayman; Abdulkader, Sarah N. (Elsevier, 2015-07)
    Brain computer interface technology represents a highly growing field of research with application systems. Its contributions in medical fields range from prevention to neuronal rehabil- itation for serious injuries. Mind ...
  • BRCA1-IRIS overexpression promotes and maintains the tumor initiating phenotype: implications for triple negative breast cancer early lesions 
    Sinha, Abhilasha; Bibbin, T Paul; Lisa, M Sullivan; Hillary, Sims; El Bastawisy, Ahmed; F Yousef, Hend; N Zekri, Abdel-Rahman; A Bahnassy, Abeer; M ElShamy, Wael (Impact Journals, LLC, 2017)
    Tumor-initiating cells (TICs) are cancer cells endowed with self-renewal, multi-lineage differentiation, increased chemo-resistance, and in breast cancers the CD44+/CD24-/ALDH1+ phenotype. Triple negative breast cancers ...

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