Tamer Khattab

TL;DR: This survey aims to pinpoint the most fundamental and important design challenges of multi-UAV systems for CPS applications, highlighting key and versatile aspects that span the coverage and tracking of targets and infrastructure objects, energy-efficient navigation, and image analysis using machine learning for fine-grained CPS applications.

TL;DR: Results of the designed methods confirm the feasibility of the developed drone RF database to be used for detection and identification, and the developed RF database along with the implementations are made publicly available for students and researchers alike.

TL;DR: This article presents a classification and survey of proposals for QoS provisioning and enforcement in IP-over-WDM networks and covers three major optical switching methods: wavelength routing, optical packet switching, and optical burst switching.

TL;DR: The aim of this paper is to identify and explore the new paradigm of MCS that is using smartphone for capturing and sharing the sensed data between many nodes and discusses the current challenges facing the collection methodologies of the participants’ data in task management.

TL;DR: The DroneRF dataset is described: a radio frequency (RF) based dataset of drones functioning in different modes, including off, on and connected, hovering, flying, and video recording.