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  5. 23725

    Boger nanofluid: significance of Coriolis and Lorentz forces on dynamics of rotating fluid subject to suction/injection via finite element simulation by Ali, Bagh, Siddique, Imran, Hussain, Sajjad, Ali, Liaqat, Baleanu, Dumitru

    Published 2022
    “…The nanoparticles are incorporated because of their unusual qualities like upgrade the thermal transportation, which are very important in heat exchangers, modern nanotechnology, electronics, and material sciences. The primary goal of this study is to improve heat transportation. …”
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    Journal Article
  6. 23726
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    Sustained coral reef growth in the critical wave dissipation zone of a Maldivian atoll by Kench, Paul S., Beetham, Edward P., Turner, Tracey, Morgan, Kyle Meredith, Owen, Susan D., McLean, Roger F.

    Published 2023
    “…Results incorporate the suite of physical and ecological processes that contribute to reef accumulation and show growth rates vary from 6.6 ± 12.5 mm.y−1 on the reef crest, and up to 3.1 ± 10.2 mm.y−1, and −0.5 ± 1.8 mm.yr−1 on the outer and central reef flat respectively. …”
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    Journal Article
  8. 23728

    AGDS: adaptive goal-directed strategy for swarm drones flying through unknown environments by Wang, Fakui, Huang, Jialei, Low, Kin Huat, Nie, Zisen, Hu, Tianjiang

    Published 2023
    “…Additional validations within canyon-like complicated scenarios have also been carried out. Both simulation and experimental results demonstrate the efficiency of the proposed swarm flocking algorithm with AGDS.…”
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    Journal Article
  9. 23729

    Novel optical soliton molecules formed in a fiber laser with near-zero net cavity dispersion by Hu, Xiao, Guo, Jun, Wang, Jun, Ma, Jie, Zhao, Luming, Yoo, Seongwoo, Tang, Dingyuan

    Published 2023
    “…Recent experimental studies on SMs formed by bright solitons, including soliton-pair, soliton-triplet or even soliton-quartet molecules, are intensive. …”
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    Journal Article
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    Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units by Saw, Vee-Liem, Vismara, Luca, Suryadi, Yang, Bo, Johansson, Mikael, Chew, Lock Yue

    Published 2023
    “…We use it to investigate how network topologies affect OD prediction accuracy, where performance enhancement is observed to depend on the degree of overlap between paths taken by different ODs. By comparing against methods that give exact results, we demonstrate the near-optimal performance of our DNNGRU, which we found to consistently outperform existing methods and alternative neural network architectures, under diverse data generation scenarios.…”
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    Journal Article
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