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Dr.Metwally Rashad Metwally Alseedy

Assistant Professor College of Engineering in Wadi Addawasir
  • Wady Aldwaser
  • 011-588-8738
  • m.alseedy@psau.edu.sa
  • Curriculum Vitae
  • Publications

Publications

  • [1] Karam Gouda and Metwally Rashad: PreJoin: An Efficient Trie based String Similarity Join
  • Algorithm. 8th International Conferenceon Informatics and Systems (Infos), 2012.
  • [2]Czúni László, Péter József Kiss, Mónika Gál, Ágnes Lipovits, Metwally Rashad: Lightweight
  • Mobile Object Recognition with Segmentation. 10th National Conference on Image Processing
  • and Pattern Recognition Society (KEPAF), pages 117-120, 2015.
  • [3] Czúni László and Metwally Rashad: Lightweight Video Object Recognition Based On Sensor
  • Fusion. International Conference on Computational Intelligence for Multimedia Understanding
  • (IWCIM), pages 1-5, 2015.
  • [4] Czúni László and Metwally Rashad: Interactive Object Recognition with Sensor Fusion. 6th
  • IEEE Conference on Cognitive Infocommunications (CogInfoCom), pages 479-482, 2015.
  • [5] Karam Gouda and Metwally Rashad: An Efficient Algorithm for String Similarity Joins. 2nd
  • International Conference on New Horizons in Basic and Applied Science (ICNHBAS), 2015.
  • [6] Czúni László and Metwally Rashad: View Centered Video-based Object Recognition for
  • Lightweight.23rd International Conference on Systems, Signals and Image Processing.
  • (IWSSIP), pages 1-4, 2016.
  • [7] Karam Gouda and Metwally Rashad: An Efficient String Edit Similarity Join Algorithm.
  • Computing and Informatics Journal (CAI), Vol. 36, pages 1001-10022, (IF=0.504), 2016.
  • [8] Czúni László and Metwally Rashad: The Fusion of Optical and Orientation Information in
  • a Markovian Framework for 3D Object Retrieval. International Conference on BrainInspired Computer Vision (WBICV), pages 1-11, 2017.
  • [9]Czúni László and Metwally Rashad: The Use of IMUs for Video Object Recognition in
  • Lightweight Devices. Journal of Visual Communication and Image Representation, Vol.
  • 48, pages 30-42, (IF =2.678), 2017.
  • [10] Czúni László and Metwally Rashad: Lightweight Active Object Retrieval with Weak
  • Classifiers. In Sensors, Vol. 18, pages 1-15, (IF:3.576), 2018.
  • [11] Czúni László, Amr Nagy and Metwally Rashad: Low Complexity 3D Object Recognition
  • for Mobile Devices based on Hidden Markov Models. 12th Conference of Hungarian
  • Association for Image Processing and Pattern Recognition (KÉPAF), 2019.
  • [12] Hamada A. Naye, Walaa Medhat, Metwally Rashad: BENHA@IDAT: Improving Irony
  • Detection in Arabic Tweets using Ensemble Approach. In: Proceedings of
  • theIDAT@FIRE2019. In Mehta P., RossoP., Majumder P., Mitra M. (Eds.) Working Notes
  • of the Forum for Information Retrieval Evaluation (FIRE 2019). CEURWorkshop
  • Proceedings, 2019.
  • [13] Amr Nagy, Metwally Rashad and Czúni László: Active Multiview Recognition with
  • Hidden Markov Temporal Support. In Signal, Image and Video Processing (IF: 2.157),
  • 2020.
  • [14] Metwally Rashad, Ibrahem Afifi, Mohamed Abdelfatah: Content-based Medical Image
  • Retrieval based on Deep Features. In 5
  • th International Conference on Computing and
  • Informatics, 2022.
  • [15] Metwally Rashad, Sameer Nooh, Ibrahem Afifi, Mohamed Abdelfatah: Effective of
  • Modern Techniques on Content-Based Medical Image Retrieval: A Survey. In
  • International Journal of Computer Science and Mobile Computing (IF: 7.056), 2022.
  • [16] Metwally Rashad, Gamal El-Nagar, Ahmed El-Sawy: An Efficient Model for Dynamic
  • Video Summarization based-on Deep Visual Features. In the International
  • Telecommunications Conference (ITC-Egypt), 2022.

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