Search Results - Jingwen Luo

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  1. 1

    PLY-SLAM: Semantic Visual SLAM Integrating Point–Line Features with YOLOv8-seg in Dynamic Scenes by Huan Mao, Jingwen Luo

    Published 2025-06-01

    In dynamic and low texture environments, traditional point-feature-based visual SLAM (vSLAM) often faces the challenges of poor robustness and low localization accuracy. To this end, this paper proposes a semantic vSLAM approach that fuses point-line features with YOLOv8-seg. First, we designed a hi...

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  2. 2

    Approach to Semantic Visual SLAM for Bionic Robots Based on Loop Closure Detection with Combinatorial Graph Entropy in Complex Dynamic Scenes by Dazheng Wang, Jingwen Luo

    Published 2025-07-01

    In complex dynamic environments, the performance of SLAM systems on bionic robots is susceptible to interference from dynamic objects or structural changes in the environment. To address this problem, we propose a semantic visual SLAM (vSLAM) algorithm based on loop closure detection with combinator...

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  3. 3

    Metformin-based internally charged nanoparticles for oral insulin delivery with injection-matched efficacy by Songli Zhou, Zhaoyi Chen, Xia Li, Feifan Yue, Lixin Ma, Shuai Zhao, Fei Wang, Jingwen Luo

    Published 2025-09-01

    Oral insulin (INS) has been proven to be the best choice for treating diabetes while reducing side effects and improving patient compliance. However, the implementation of oral INS administration has been hindered by the challenges of rapid degradation, poor stability, and low permeability in the ga...

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  4. 4

    A study on appetite of overweight/obese patients with type 2 diabetes mellitus based on multimodal magnetic resonance imaging by Mingxuan Gao, Liya Gong, Yanmei Zeng, Dongling Li, Junyan Wen, Ying Guo, Zhujia Li, Jingwen Luo, Chunling Chen, Ge Wen

    Published 2025-07-01

    PurposeTo investigate the alterations of brain structure and function in brain regions related to ingestive desire in overweight/obese T2DM patients, and the correlation with clinical data.Subjects52 patients with overweight/obese type 2 diabetes mellitus (T2DM group), 62 patients with simple obesit...

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