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  1. 281

    What If VEC Is Moving: Probabilistic Model of Task Execution Through Offloading in Vehicular Computing Environments by Asmaa Ibrahim, Bassem Mokhtar

    Published 2024-01-01
    “…Various computing approaches within vehicular networks, such as vehicular edge computing (VEC) and cloud computing, have been suggested to facilitate task offloading, aiming to improve user satisfaction. …”
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    Article
  2. 282

    Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System by Yongkang Li, Qing He, Yongqiang Liu, Amina Maituerdi, Yang Yan, Jiao Tan

    Published 2024-11-01
    “…Additionally, this study analyzed the spatiotemporal distribution characteristics of cloud cover in the Kunlun Mountain region using the MOD11A1 product and assessed the uncertainties introduced by the 8-day average compositing method of the MOD11A2 product. …”
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  3. 283

    ICESat-2 Satellite LiDAR Bathymetry Extraction Algorithm Based on Cubic Function Fitting Prediction Interval Along Track Segments by Junyuan Chen, Yi Ma, Yang Jiang, Kun Jia, Aijun Cui, Xuechun Zhang, Shaohui Li, Jingyu Zhang

    Published 2025-01-01
    “…The 532-nm laser pulses emitted by the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) demonstrate significant potential for shallow water depth measurement. …”
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    Article
  4. 284

    JSCC-Aided INR for High-Frequency Detail Preservation in LiDAR by Akihiro Kuwabara, Sorachi Kato, Toshiaki Koike-Akino, Takuya Fujihashi

    Published 2025-01-01
    “…This integrated approach enables continuous reconstruction quality adaptation to varying wireless channel conditions and effectively mitigates the stair-case effect inherent in conventional digital schemes. …”
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    Article
  5. 285

    Digital reconstruction of historic roof structures: developing a workflow for a highly automated analysis by Markus Pöchtrager, Gudrun Styhler-Aydın, Marina Döring-Williams, Norbert Pfeifer

    Published 2018-07-01
    “…Thisenablesa highly automated transitionfrom raw point cloud data to a geometric model containing beams of the structural system. …”
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    A New View of the Spiral Structure of the Northern Outer Milky Way in Carbon Monoxide by Yan Sun, Ji Yang, Shaobo Zhang, Qing-Zeng Yan, Yang Su, Xuepeng Chen, Xin Zhou, Ye Xu, Hongchi Wang, Min Wang, Zhibo Jiang, Ji-Xian Sun, Deng-Rong Lu, Bing-Gang Ju, Xu-Guo Zhang, Min Wang

    Published 2024-01-01
    “…The Perseus and Outer arms stand out prominently, appearing as quasi-continuous structures along most of their length. At the Galactic outskirts, about 1306 clouds connect the two segments of the new spiral arm discovered by T. …”
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  8. 288
  9. 289

    UAV coal-rock recognition and 3D coal seam model dynamic correction technology in open-pit mine by Jie Yuan, Guangwei Liu, Senlin Chai, Weiqiang Guo, Yunlong Huang

    Published 2025-07-01
    “…The model is then dynamically corrected through a TIN update and growth reconstruction algorithm, continuously improving the accuracy of the coal seam 3D model. …”
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    Application of the Achievements of the Fourth Industrial Revolution to Prevent Emergencies Caused by Global Climate Change by D. V. Mun

    Published 2023-10-01
    “…According to experts, due to the continued growth of the Earth’s population and the growth of production aimed at ensuring life, our planet will warm up faster than scientists predicted 20-30 years ago. …”
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  13. 293

    Hybrid optimized data aggregation for fog computing devices in internet of things by M. Jalasri, S. Manikandan, Arthur Davis Nicholas, S. Gobimohan, Naarisetti Srinivasa Rao

    Published 2024-05-01
    “…By adding the fog layer to the cloud computing paradigm, Quality of Service (QoS) can be improved in delay-sensitive and in time-critical applications. …”
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    Comparative Analysis of Himawari-8 Satellite Monitoring and Early Warning Characteristics in Short-Time Heavy Precipitation Weather over Qinghai Plateau by Ping ZHU, Jianshe XIAO

    Published 2022-04-01
    “…In order to obtain the heavy precipitation monitoring and early warning characteristics and early warning methods of convective clouds over Qinghai Plateau (hereinafter referred to as plateau), the Himawari-8 satellite datum in typical heavy precipitation weather processes over the plateau were used to track and identify convective clouds, the clouds characteristic parameters with early warning significance were calculated and analyzed.The results show that: (1) An improved multi-channel method for convective clouds identification was proposed in this paper, Compared with the traditional multi-channel method, it was proved that the obtained clouds were closer to the convective main body, and was suitable for convective clouds identification over the plateau.(2) From convection formation to maturity, the characteristic parameters fluctuated, but the minimum brightness temperature difference between infrared channel 1 and water vapor channel (DTB13) and the minimum brightness temperature (Tmin) of cloud top decreased as a whole, and the maximum brightness temperature gradient (GTmax) of cloud top increased as a whole.In the convective development stage, only the minimum brightness temperature difference between infrared channels 1 and 2 (DTB12) reached the early warning extreme value on average.And in the mature stage, it reached the early warning extreme value on average, such as Tmin, DTB13, GTmax and deep convection index (DCI).Convective clouds in heavy precipitation weather over the plateau mostly developed into deep convection, and precipitation occured near the extreme value of characteristic parameters of clouds, and the short-time heavy precipitation occured in the extreme value area or near the edge of the characteristic parameters of the specific cloud tops (upwelling cloud tops or approximate upwelling cloud tops) in the deep convective cloud area.(3) The extreme values of characteristic parameters appeared 0~1 h and 0.5~4.5 h ahead of the start time of general precipitation and heavy precipitation respectively, and its advance time to the heavy precipitation beginning was relatively the earliest in the westerly flow field type.Before the precipitation beginning, the change of convective clouds developed towards deep convection was the most intense under the subtropical high pressure type flow field, which showed that the average DCI and the mean GTmax were the largest respectively, and the average DTB12 was the smallest, while the cumulus development under the westerly flow field was relatively weak.After the beginning of precipitation, the deep convection in the westerly flow field was relatively shallow, but the change of cloud top was still intense, which showed that the mean DCI and mean Tmin were lower respectively, but the mean GTmax and average DTB13 were larger respectively, and the convection development in the low vortex shear flow field was relatively deepest.(4) The early warning method for short-time heavy precipitation over the plateau was proposed in this article as follows: when the convective clouds developed into the specific cloud top, within the 50km range centered on the geometric center of the specific cloud top, if Tmin≤223 K, DCI≥20 K, GTmax≥18 K, DTB12≤0 K, DTB13≤3 K were met at the same time, then, which indicated that the short-time heavy precipitation would come or continue under the specific clouds area.It was verified that this method has high practical value in the short-time heavy precipitation early warning of deep convective clouds over the plateau.…”
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  16. 296

    Strategic IS/IT Planning for Enhanced Competitiveness and Operational Efficiency at PT. Songgo Jati Baru: Applying the Ward and Peppard Method by Andika Jati Firmansya, Putri Amelia

    Published 2025-06-01
    “…This comprehensive strategy, underpinned by robust cloud infrastructure and continuous staff training, is poised to not only significantly enhance PT. …”
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  17. 297

    Long-term effect of island industrial construction on groundwater health risk by Yong Huang, Daqing Wang, Haoli Xu, Zhao Lu, Zijian Cheng, Zhibin Ding, Yi Wang, Yue Shi, Huiru Cui, Xiaoying Lian

    Published 2025-01-01
    “…On some islands, the main source of residential water is groundwater, whose quality is seriously threatened by continuous industrial construction in island areas. …”
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