@proceedings {4631,
	title = {Dectection all types of acoustics microwaves in piezoelectric material (ZnO) by classification using support vector machines (SVM)},
	journal = {International Conference on Electronics and Electrical Engineering- 12-13 November 2018, Bouira- ALGERIA},
	year = {2019},
	address = {Bouira, Algeria},
	abstract = {
	In this paper, we propose a new numerical method for acoustics microwaves detection of an acoustics microwaves signal during the propagation of acoustics microwaves in a piezoelectric substrate Zinc oxide (ZnO) . We have used Support Vector Machines (SVM) ,the originality of this method is the accurate values that provides .this technic help us to identify undetectable waves that we can not identify with the classical methods; in which we classify all the values of the real part and the imaginary part of the coefficient attenuation with the acoustic velocity in order to build a model from which we note the types of microwaves acoustics( bulk waves or surface waves or leaky waves) . By which we obtain accurate values for each of the coefficient attenuation and acoustic velocity. This study will be very interesting in modeling and realization of acoustics microwaves devices (ultrasound ,Radiating structures , Filter SAW {\textellipsis}.) based on the propagation of acoustics microwaves.

},
	url = {http://ic3e.univ-bouira.dz/ICEEE/Conference\%20 Program.pdf},
	author = {Hafdaoui, Hichem and Benatia, Djamel}
}
