Hu Qiao

Social Vulnerability Analysis of Taiwan Region of China Based on PCA and Entropy Weight Method

Mingyang Deng, Hu Qiao, Jiating Li, Xuan Zhou et autres

Global environmental change has shifted disaster risk from being predominantly natural hazard-dominated to increasingly socially driven. While the Social Vulnerability Index (SoVI) is widely used to quantify these dynamics, its construction remains hindered by uncertainty in weighting algorithms and spatial aggregation schemes. …

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Research on Method for Collaborative Acquisition of Expertise Domain Knowledge by Multiple People

Zekai Peng, Leijie Fu, Yv Bai, Yan Cao et autres

Addressing the problems of complex forms, low structurization and insufficient reliability of automatic acquisition of professional knowledge sources in the manufacturing industry, this paper proposes an improved multi-person collaborative knowledge acquisition method for professional fields. Drawing on the quality control concept of …

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Hybrid Convolutional Neural Network–Bidirectional Long Short-Term Memory Model with Whale Optimization Algorithm for Error Prediction in On-Machine Measurement

Ziyan Zhu, Hu Qiao, Ying Xiang, Xu Xin et autres

On-machine measurement (OMM) enables real-time dimensional feedback in production, yet accuracy is often degraded by thermal drift, sensor noise, and environmental disturbances. This motivates intelligent error-prediction methods to ensure reliable, high-precision machining. This study proposes a hybrid deep learning model integrating a …

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Optimization of Fine Milling Process Parameters for Small Impeller

Yachen Zhang, Leijie Fu, Hu Qiao, Hui Yao et autres

Addressing the issues of surface machining quality and residual stress in small impellers, the outward opening integral small impeller was selected as the key research object, and the main evaluation indicators of the surface quality of the experiment were set as the …

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Method for Analyzing the Importance of Quality and Safety Influencing Factors in Automotive Body Manufacturing Process—A Comprehensive Weight Evaluation Method to Reduce Subjective Influence

Ying Xiang, Guo Long, Shiming JI, Shengchao Zhu et autres

The automotive industry is a key pillar of many national economies, and automotive body manufacturing is among the most complex production processes. In the automotive body manufacturing process, quality control and safety assurance are of paramount importance, directly influencing the overall safety …

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Implementation of the China-Laos railway shows obvious spatiotemporal spillover effects and phased evolution patterns in Laos

Dongxue Li, Hu Qiao

Railways are regarded as a pivotal national strategy for fostering regional socioeconomic development in developing nations. This study investigates the impact of railways on urban development along the Laos section of the China-Laos Railway (CLR), aiming to elucidate the establishment of effective …

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Periodic intra-layer TiN-WS2 soft and hard functional composite coatings with different texture sizes

Ying Xiang, Xilin Xu, Hu Qiao, Minghui Liu et autres

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Low-Friction Coatings Grown on Cemented Carbides by Modulating the Sputtering Process Parameters of TiN Targets

Hu Qiao, Minghui Liu, Ying Xiang, Xi‐Ling Xu et autres

TiN thin films are widely used as protective and decorative coatings for tools in industry. Previous studies have focused on the deposition of TiN coatings on substrates by reactive magnetron sputtering, whereas the use of TiN targets avoids problems such as ‘nitrogen …

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Spatiotemporal Urban Evolution Along the China–Laos Railway in Laos Determined Using Multiple Sources of Remote-Sensed Landscape Indicators and Interpretable Machine Learning

Dongxue Li, Jin Tang, Hu Qiao, Soukanh Chithpanya

Constructing high-speed railways (HSRs) is critical for developing countries to stimulate economic growth and urbanization. This study focuses on the Lao section of the China–Laos Railway (CLR) and employs explicitly spatial remote sensing images to investigate the urban development surrounding HSR stations. …

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D3AT-LSTM: An Efficient Model for Spatiotemporal Temperature Prediction Based on Attention Mechanisms

Ting Tian, Huijing Wu, Xianhua Liu, Hu Qiao

Accurate temperature prediction is essential for economic production and human society’s daily life. However, most current methods only focus on time-series temperature modeling and prediction, ignoring the complex interplay of meteorological variables in the spatial domain. In this paper, a novel temperature …

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Trajectory-aware privacy-preserving method with local differential privacy in crowdsourcing

Yingcong Hong, Junyi Li, Hu Qiao, Xiehua Li

In spatial crowdsourcing services, the trajectories of the workers are sent to a central server to provide more personalized services. However, for the honest-but-curious servers, it also poses a challenge in terms of potential privacy leakage of the workers. Local differential privacy …

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Kim-1 targeted black phosphorus nanoplatforms: Antioxidation and efferocytosis recovery for acute kidney injury treatment

Zhiwen Wang, Ge Xie, Yue Xie, Mingcun Hu et autres

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