Motion-Encoded Electric Charged Particles Optimization for Moving Target Search Using Unmanned Aerial Vehicles.

Alanezi, Mohammed A; Bouchekara, Houssem R E H; Shahriar, Mohammad S; Sha'aban, Yusuf A; Javaid, Muhammad S; Khodja, Mohammed

Alanezi, Mohammed A; Bouchekara, Houssem R E H; Shahriar, Mohammad S; Sha'aban, Yusuf A; Javaid, Muhammad S; Khodja, Mohammed.

Afiliação

Alanezi MA; Department of Computer Science and Engineering Technology, University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia.
Bouchekara HREH; Department of Electrical Engineering, University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia.
Shahriar MS; Department of Electrical Engineering, University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia.
Sha'aban YA; Department of Electrical Engineering, University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia.
Javaid MS; Department of Electrical and Electronic Engineering, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK.
Khodja M; Department of Electronics, College of Engineering, Mustaqbal University, Buraidah 51452, Saudi Arabia.

Sensors (Basel) ; 21(19)2021 Sep 30.

Article em En | MEDLINE | ID: mdl-34640885

Assuntos

Algoritmos; Eletricidade; Teorema de Bayes; Íons; Movimento (Física)

Palavras-chave

electric charged particles optimization; motion-encoded; probabilistic target finding; unmanned aerial vehicles

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Eletricidade Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Arábia Saudita

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