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Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks
Research article (Concurrency and Computation Practice and Experience, 2022) · cited 14× · AI/ML
Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks
Summary
Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks is a scholarly article[1].
Key Facts
Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/energyefficient-animal-tracking-with-multiunmanned-aerial-vehicle-path-planning-using-reinforcement-learning-and-wireles
MLA“Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/energyefficient-animal-tracking-with-multiunmanned-aerial-vehicle-path-planning-using-reinforcement-learning-and-wireles.
BibTeX@misc{4ortxyz_energyefficient-animal-tracking-with-multiunmanned-aerial-vehicle-path-planning-using-reinforcement-learning-and-wireles_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks}}, year = {2026}, url = {https://4ort.xyz/entity/energyefficient-animal-tracking-with-multiunmanned-aerial-vehicle-path-planning-using-reinforcement-learning-and-wireles}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks — https://4ort.xyz/entity/energyefficient-animal-tracking-with-multiunmanned-aerial-vehicle-path-planning-using-reinforcement-learning-and-wireles (retrieved 2026-05-24)
