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Updated: Jan 13, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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Published on: May 1, 2018

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RELoc:一个增强的3DWiFi指纹室内定位算法与RFECV特征选择.

Shehu Lukman Ayinla1,2, Azrina Abd Aziz1, Micheal Drieberg1

  • 1Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
概括

这项研究介绍了RELoc,一个使用AI进行增强WiFi指纹的3D室内定位框架. 通过克服2D方法的局限性,RELoc提高了多层环境中的准确性.

关键词:
这就是Optuna-TPE.无线网络指纹检测极端随机树 (ERT) 是指一个非常随机的树.室内局部化 室内局部化使用交叉验证 (RFECV) 消除递归特征

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