Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Derek Hollenbeck"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Humans and other complex organisms exhibit intelligent behaviors as individual agents and as groups of coordinated agents. They can switch between independent and collective modes of behavior, and flexible switching can be advantageous for a
Externí odkaz:
https://doaj.org/article/1f5a6eeda3b54dde9fe3fb1ae3d7e61d
Publikováno v:
Drones, Vol 5, Iss 4, p 117 (2021)
Detecting and quantifying methane emissions is gaining an increasingly vital role in mitigating emissions for the oil and gas industry through early detection and repair and will aide our understanding of how emissions in natural ecosystems are playi
Externí odkaz:
https://doaj.org/article/11b297ac23684476b7dceec6c9e764a3
Publikováno v:
Sensors, Vol 20, Iss 22, p 6427 (2020)
Estimating evapotranspiration (ET) has been one of the most critical research areas in agriculture because of water scarcity, the growing population, and climate change. The accurate estimation and mapping of ET are necessary for crop water managemen
Externí odkaz:
https://doaj.org/article/63720dd316684117b0eb6efed9069005
Publikováno v:
Frontiers in Physics, Vol 6 (2018)
Optimal random foraging strategy has gained increasing concentrations. It is shown that Lévy flight is more efficient compared with the Brownian motion when the targets are sparse. However, standard Lévy flight generally cannot be followed in pract
Externí odkaz:
https://doaj.org/article/0b6dcdc5aeb14549abd3145506dda77a
Publikováno v:
Journal of Information and Intelligence.
Publikováno v:
2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA).
Publikováno v:
2022 10th International Conference on Control, Mechatronics and Automation (ICCMA).
Publikováno v:
2022 International Conference on Unmanned Aircraft Systems (ICUAS).
Publikováno v:
2022 International Conference on Unmanned Aircraft Systems (ICUAS).
Autor:
Derek Hollenbeck, YangQuan Chen
Publikováno v:
Journal of Intelligent & Robotic Systems. 105
This paper proposes a digital twin (DT) framework for point source applications in environmental sensing (ES). The DT concept has become quite popular among process and manufacturing industries for improving performance and estimating remaining usefu