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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3507569
Abstract: Recognizing mud rock lithofacies is essential for mapping the subsurface depositional environments and identifying oil and gas-bearing rock formations. Conventional well logs interpretation techniques are slow, costly and require high domain expertise. Machine learning (ML)…
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Keywords:
multiagent collaborative;
recognition;
rock;
learning architecture ... See more keywords
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Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3191329
Abstract: The unmanned aerial vehicle (UAV) technique provides a potential solution to scalable wireless edge networks. This paper uses two UAVs, with accelerated motions and fixed altitudes, to realize a wireless edge network, where one UAV…
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Keywords:
energy;
collaborative learning;
multiagent collaborative;
energy efficiency ... See more keywords