Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ahmed A. Nashat"'
Publikováno v:
IEEE Access, Vol 9, Pp 142206-142217 (2021)
Vehicular ad hoc networks (VANETs) are a subsystem of the proposed intelligent transportation system (ITS) that enables vehicles to communicate over the wireless communication infrastructure. VANETs are used in multiple applications, such as improvin
Externí odkaz:
https://doaj.org/article/c6d8a9f4ab52400d8ea3eb802ee23f74
Publikováno v:
Fayoum University Journal of Engineering. 4:122-137
Medical, Aromatic, and Narcotic plants are a natural treasure that grows in the desert without human being interference. They can be used in pharmaceutical industries (medicines), medical usage (medical anesthetic), perfumes industries, and cooking.
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13
Autor:
Fatma Mazen Ali Mazen, Ahmed A. Nashat
Publikováno v:
Arabian Journal for Science and Engineering. 44:6901-6910
The quality of fresh banana fruit is a main concern for consumers and fruit industrial companies. The effectiveness and fast classification of banana’s maturity stage are the most decisive factors in determining its quality. It is necessary to desi
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Human face expression recognition is an active research area that has massive applications in medical field, crime investigation, marketing, online learning, automobile safety and video games. The first part of this research defines a deep neural net
Publikováno v:
Alexandria Dental Journal.
INTRODUCTION: Mandibular premolars are some of the most challenging teeth to be treated endodontically, with wide variations in canal anatomy, unexpected morphology, and high incidence of rare configurations. OBJECTIVES: Investigation of root canal a
Autor:
Ahmed Aly Nashat
Publikováno v:
International Journal of Computer Trends and Technology. 42:11-16
Autor:
N. M. Hussain Hassan, Ahmed A. Nashat
Publikováno v:
International Journal of Engineering Trends and Technology. 41:1-10
Autor:
Ahmed A. Nashat
Publikováno v:
International Journal of Wavelets, Multiresolution and Information Processing. 16:1850047
Hand and face gestures enable deaf people to communicate in their daily lives rather than speaking. This paper describes a hidden Markov model (HMM)-based framework for face sign recognition and detection. The observation vectors used to characterize
Autor:
N. M. Hussain Hassan, Ahmed A. Nashat
Publikováno v:
2016 International Conference on Optoelectronics and Image Processing (ICOIP).
Discrete Wavelet Transform, (DWT), is known to be one of the best compression techniques. It provides a mathematical way of encoding information in such a way that it is layered according to level of detail. In this paper, we used Haar wavelets as th