Titlebook: Drones as Cyber-Physical Systems; Concepts and Applica Jung-Sup Um Book 2019 Springer Nature Singapore Pte Ltd. 2019 Drone data acquisition

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陶瓷

https://doi.org/10.1007/978-3-642-57850-2cyber world to support AI (Artificial Intelligence) bridging IoT, Cloud and Big Data. The deep learning procedure of AI requires a numerous degree of complicated data at spatial and temporal scales which closely sense the changing state of the physical world in real-time. For the physical layer, sen

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https://doi.org/10.1007/978-3-642-57850-2he imagery data obtained by human eye accounts for 90% of total information acquired from various human sensory organs such as ear, nose and tongue. As the animals evolve from lower level (e.g. insects) to higher grade (e.g human), the utilization of visual data becomes higher. Likewise, as the subs

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https://doi.org/10.1007/978-3-642-57850-2e is rapidly replacing most of the jobs that humans have done with natural intelligence in the current generation. However, currently, it is hard to find out formal education about futurism to prepare for the era of artificial intelligence. Memorizing education useless in the era of artificial intel

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https://doi.org/10.1007/978-981-13-3741-3Drone data acquisition; Spatial information; Autonomous flying and sensor fusion; Spectral and location

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Springer Nature Singapore Pte Ltd. 2019

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