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Automated Detection and Monitoring of Ground-Nesting Bee Nests Using Drone Imagery and Deep Learning. [PDF]
Ecol EvolTschanz P +5 more
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A bio-inspired swarm UAV framework integrating thermal sensing and optimization-based coordination for efficient search and rescue operations. [PDF]
Sci RepKareem AA +6 more
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Real-Time Small UAV Detection in Complex Airspace Using YOLOv11 with Residual Attention and High-Resolution Feature Enhancement. [PDF]
J ImagingHan C +8 more
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M3OT: A Multi-Drone Multi-Modality dataset for Multi-Object Tracking. [PDF]
Sci DataNie Z +5 more
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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
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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
Theorizing Drones and Droning Theory
2015This chapter uses the figure of the drone to explore the logic of emerging forms of surveillance facilitated by distributed, interactive sensors. It argues that drone “logic” can be abstracted away from the device itself. This logic combines automated data collection with automated sensemaking and, eventually, automated response.
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