Weiting He

A Unified Metric-Aware Framework for Closed-Set and Few-Shot Fine-Grained Recognition

Boqiang Zhang, Weiting He, Yuxin Zhuo, Jie Li

Fine-grained flower recognition requires not only reliable discrimination among known species but also data-efficient adaptation to newly introduced categories for which only a handful of annotated images are available. Existing solutions usually treat closed-set classification and few-shot extension as separate problems, which …

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An OpenHarmony-Based AI-Driven Edge Intelligence Framework for Manufacturing Disruption Monitoring and Resilient Response

Boqiang Zhang, Yuxin Zhuo, Zhiwei Chen, Zhibin Xian et autres

INTRODUCTION: Delayed awareness of hazards and route restrictions can weaken manufacturing continuity. OBJECTIVES: To develop an OpenHarmony-based edge-intelligence framework for disruption monitoring and resilient patrol response. METHODS: A WS63 controller performs local sensing and PID control; SparkLink SLE transmits compact frames to …

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Association Between Time-Averaged Serum Uric Acid and Renal Outcomes in Patients with Type 2 Diabetes Mellitus with Chronic Kidney Disease: A Multicenter Retrospective Cohort Study

Shaogui Zhang, Xuan Zhao, Jianteng Xie, Yifan Zhang et autres

The aim of this work is to explore the association of time-averaged serum uric acid (TA-SUA) with renal outcomes of type 2 diabetes mellitus (T2DM) with chronic kidney disease (CKD). A cohort of T2DM with CKD from eight centers was followed from …

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Intelligent Helmet for Disabled Older Adults: An Environmental Perception and Voice Companion Reminder System Based on Chinese Large Language Models

Chengming Huang, Zhi Yang, Jiamin Chen, Zonghui Huang et autres

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Multimodal Human-Machine Interaction System for Intelligent Wheelchairs Integrating Voice and Touch: Age-Friendly Design and Application of Domestic Speech Technology

Zhiying Lin, Baoyue Zhang, Ziyue Zhang, Chengming Huang et autres

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Stratifying metabolic-related risk factors using latent class analysis to explore the risk of renal composite endpoints in patients with type 2 diabetes mellitus and associated chronic kidney disease

XIAOJIE CHEN, Weiting He, Danfeng Liu, Runli Jia et autres

Background: Metabolic syndrome is a key independent risk factor for the progression of chronic kidney disease (CKD) in patients with Type 2 diabetes (T2DM). Traditional studies often focus on isolated metabolic markers, but our research aims to comprehensively assess the metabolic landscape …

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Design and Optimization of a Self-Inductive Displacement Sensor Based on LC Resonant Circuit in Active Magnetic Bearing System

Lei Gong, Xingyu Wang, Qilin Xiong, Weiting He

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Type 2 diabetes mellitus with chronic kidney disease benefits from long-term restriction of dietary protein intake: a 10-year retrospective cohort study

Danfeng Liu, Qiuling Li, Runli Jia, Weiting He et autres

This study aimed to investigate the relationship between long-term dietary protein intake (DPI) restriction and clinical outcomes in patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD). We conducted a retrospective study in both T2DM with CKD cohort from …

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Layout Design of Nuclear Island for HPR1000

Weiting He, Xin Wang, Yuanxia Zhou, Zhenhu Feng et autres

HPR1000 is an advanced million-kilowatt pressurized water reactor developed in response to the lessons learned from the Fukushima accident. It adheres to the strictest safety standards in the world and boasts completely independent intellectual property rights. As critical structure of nuclear power …

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Swin-UNet with integrated attention mechanisms for precise retinal layer segmentation in optical coherence tomography images

Yihong Wu, Ruofei Wang, Weiting He, Huiyu Kuang

Optical Coherence Tomography (OCT) is a non-invasive ophthalmic imaging technique that generates high-resolution cross-sectional images of the retina, with image analysis requiring the segmentation of retinal layers. Traditional methods often fall short in accuracy and efficiency with complex structures and high-resolution images. …

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YOLOv10 Traffic Sign Recognition Model Based on Lightweight Convolutional GSConv Improved with Multiscale Attention Mechanism MSAA

Boqiang Zhang, Weiting He, Fuken Zhou, Jiaying Gu et autres

To improve the precision and efficiency of traffic sign detection, especially in intricate traffic scenarios, we present a streamlined traffic sign detection approach utilizing an enhanced version of YOLOv10. To overcome the accuracy challenges encountered by conventional YOLOv10 in certain contexts, we …

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Improved GoogLeNet based on CBAM module for fundus disease classification network

Weiting He, Ruofei Wang, Jin Lin

Fundus images are a valuable tool in the diagnosis of ophthalmic and systemic diseases. However, the traditional manual analysis process is time-consuming, labour-intensive and susceptible to subjective factors, which presents a challenge in the context of efficient and accurate diagnosis. It is …

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