Radwa Marzouk

Assistant professor, Department of Mathematics, Faculty of Science, Cairo University.

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Efficient HEVC steganography approach based on audio compression and encryption in QFFT domain for secure multimedia communication

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Citation:
Soliman, N. F., M. I. Khalil, A. D. Algarni, S. Ismail, R. Marzouk, and W. El-Shafai, "Efficient HEVC steganography approach based on audio compression and encryption in QFFT domain for secure multimedia communication", Multimedia Tools and Applications, vol. 80, pp. 4789–4823, 2021.
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Tags

  • Gesture Recognition; Deep Learning; Visually Challenged People; Arti cial Rabbits Optimization; Human{Computer Interaction. (1)
  • Internet of Things; deep learning; parameter tuning; fully Elman Neural Network (1)

Recent Publications

AUTOMATED GESTURE RECOGNITION USING ARTIFICIAL RABBITS OPTIMIZATION WITH DEEP LEARNING FOR ASSISTING VISUALLY CHALLENGED PEOPLE
Artificial Rabbit Optimizer with deep learning for fall detection of disabled people in the IoT Environment
Artificial Rabbit Optimizer with deep learning for fall detection of disabled people in the IoT Environment
Exploiting Deep Learning Based Automated Fire-detection Model for Blind and Visually Challenged People
Sign Language Recognition Using Artificial Rabbits Optimizer with Siamese Neural Network for Persons with Disabilities
more

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