Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks-Reference-Cited by-同舟云学术

Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks

Author:

Ergunsah Senol¹,Tümen Vedat²^ORCID,Kosunalp Selahattin³^ORCID,Demir Kubilay²

Affiliation:

1. Department of Mechatronics Engineering, Institute of Science University of Bandirma Onyedi Eylul Bandırma Balıkesir Turkey

2. Department of Computer Engineering, Faculty of Engineering Architecture Bitlis Eren University Bitlis Turkey

3. Department of Computer Technologies, Gonen Vocational School University of Bandirma Onyedi Eylul Bandırma Balıkesir Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

Reference39 articles.

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