Study and Design of a See Through Wall Imaging Radar System

Abdellaoui, Mahmoud; Fattah, Mohammed; Mazer, Saïd; Bekkali, Moulhime El; Ghazi, Mohammed El; Balboul, Younes; Mehdi, Mahmoud

doi:10.1007/978-981-15-0947-6_15

Cited by 1 publication

(4 citation statements)

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“…In front of a lot of circumstances, the algorithm learns which behavior to follow and decision to take creating a model. The machine makes the tasks automate depending on the situation [54][55][56][57][58][59][60][61][62]. There are three main types of Machine Learning [60]- [66] represented in figure 7: In supervised learning, the algorithms are based on already categorized datasets, in order to understand the criteria used for classification and reproducing them [67]- [70].…”

Section: Machine Learningmentioning

confidence: 99%

“…The objective of [50] is to study the changes in the categorization performance with the parameters of signal processing and the procedures of extracting characteristics applicable to backscattered signals from the UWB radar [51][52][53][54]. In the literature, many algorithms have been used for classification.…”

Section: Classifiersmentioning

confidence: 99%

“…Artificial intelligence (AI) has come to the fore in recent years. It is used in several applications for various disciplines [41][42][43][44][45][46][47][48][49][50][51][52][53][54]. Artificial Intelligence (AI) as we know it is weak Artificial Intelligence, as opposed to strong AI, which does not exist yet.…”

Section: Introduction To Artificial Intelligencementioning

confidence: 99%

“…AI has evolved a lot thanks to the emergence of Cloud Computing and Big Data, which is an inexpensive computing power that gives accessibility to a large amount of data. Thus, the machines are no longer programmed; they learn instead [53,54].…”

Section: Introduction To Artificial Intelligencementioning

confidence: 99%

See 3 more Smart Citations

Artificial Intelligence Approach for Target Classification: A State of The Art

Abdellaoui¹,

Daghouj²,

Fattah³

et al. 2020

Adv. sci. technol. eng. syst. j.

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The classification of static or mobile objects, from a signal or an image containing information as to their structure or their form, constitutes a constant concern of specialists in the electronic field. The remarkable progress made in past years, particularly in the development of neural networks and artificial intelligence systems, has further accentuated this trend. The fields of application and potential uses of Artificial Intelligence are increasingly diverse: understanding of natural language, visual recognition, robotics, autonomous system, Machine learning, etc. This paper is a state of the art on the classification of radar signals. It focuses on the contribution of artificial intelligence to the latter without forgetting target tracking. This by evoking the different feature extractors, classifiers and the existing identification deep learning algorithms. We detail also the process allowing carrying out this classification.

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