Results 231 to 240 of about 164,056 (289)

VisioDECT: A robust dataset for aerial and scenario based multi-drone detection, identification, and neutralization. [PDF]

Data Brief
Ajakwe SO, Ihekoronye VU, Mohtasin G, Akter R, Lee JM, Kim DS.   +5 more
europepmc   +1 more source

Performance evaluation of spraying drones compared to boom sprayers for spray applications. [PDF]

Sci Rep
Safaeinezhad M, Ghasemi-Nejad-Raeini M, Taki M.   +2 more
europepmc   +1 more source

Distinguishing a Drone from Birds Based on Trajectory Movement and Deep Learning. [PDF]

Sensors (Basel)
Nesteruk A, Nikitin V, Albrekht Y, Ścisło Ł, Grela D, Król P.   +5 more
europepmc   +1 more source

Blockchain-Enabled Identity Based Authentication Scheme for Cellular Connected Drones. [PDF]

Sensors (Basel)
Su Y, Li Z, Zhang Y, Gui X, Deng X, Fu J.   +5 more
europepmc   +1 more source

An in depth investigation on device-to-device communication in heterogeneous networks: opportunities and challenges. [PDF]

MethodsX
Ali A, Zehra A, Nafees M, Amin MA.
europepmc   +1 more source

Drone-Assisted Organ Transport: A Scoping Review of Clinical, Regulatory, and System Readiness. [PDF]

Clin Transplant
Gilmour RG, Hoff M.
europepmc   +1 more source

Family Caregivers' Perspectives on the Potential of Drone-Based Medication Delivery in Palliative Home Care: Qualitative Focus Group Study.

JMIR Hum Factors
Fink F, Otto SC, Grünthal M, Lehmann A, Jahn P.   +4 more
europepmc   +1 more source

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Dronely

Proceedings of the SouthEast Conference, 2017
Dronely is a visual block programming language that allows users to build programs for the control of small drones. Dronely uses drones as a way of raising interest in computer science among K-12 students by presenting a user-friendly and intuitive drag-and-drop interface for building programs that have a physically observable effect.
Eric Tilley, Jeff Gray
openaire   +1 more source