Drones for disaster response and relief operations: A continuous approximation model
By Sudipta Chowdhury, Adindu Emelogu, M. Marufuzzaman, S. Nurre, Linkan Bian. 2017
324 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Ocean Engineering, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/81c8d300cf95183d042c6baea3940385dab9d2b2
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In Industrial and Manufacturing Engineering
In Ocean Engineering
In Organizational Behavior and Human Resource Management
Citations in the corpus
- Help from the Sky: Leveraging UAVs for Disaster Management (2017, background): “The need for real-time knowledge in driving the SAR missions cannot be underestimated, and a recent Red Cross report advocates UAVs as among the most promising and powerful new technologies for this purpose [2].”
- Applications and Research avenues for drone-based models in logistics: A classification and review (2021, methodology): “…efficient algorithms, including exact (Liu et al., 2019; Wang and Sheu, 2019), approximation (Carlsson and Song, 2018; Ulmer and Streng, 2019; Chowdhury et al., 2017), and heuristic methods (Murray and Chu, 2015; Shao et al., 2020; Kitjacharoenchai et al., 2019), for solving the relevant…”
- Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey (2018, background): “2) [50] M, H, Exp several drones, several trucks energy expenditure depends on acceleration, payload, turning, kind of movements (climbing, descending, hovering), limited flying distance other (disaster management)”