Jie Wang

An evolutionary multi-objective ensemble learning algorithm for quality prediction in complex manufacturing processes

An‐Da Li, Jie Wang, Yang Zhang, Keke Wei et autres

In modern industry, quality prediction (QP) in complex manufacturing processes (CMPs) is essential for controlling the quality of complex products because direct quality measurement is often time-consuming and costly. However, data-driven QP methods face challenges in handling CMP data with high-dimensional process …

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Urachal inflammatory myofibroblastic tumor: a case report

Jiafu Liu, Ran Wei, Xiaoxing Miao, Jinbo Han et autres

Background: Inflammatory myofibroblastic tumor (IMT) is an uncommon mesenchymal neoplasm. Urachal involvement is exceedingly rare, and evidence regarding its clinical presentation, diagnosis, and management remains limited. Case presentation: We report the case of a 62-year-old female patient who presented with urinary frequency …

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Comparative Study of Embedded Deep Learning Models for State of Charge Estimation of Lithium-Ion Batteries

Yiyun Liang, Xun Lin, Xin Tang, Wenjing Shen et autres

Accurate state of charge (SOC) estimation is essential for the safe and efficient operation of lithium-ion battery systems, while deploying deep learning-based estimators in embedded battery management systems remains challenging due to limited memory, computational capability, and real-time constraints. To address this …

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Study on pyrolysis gas generation characteristics of insulating oil under electro-thermal action based on ReaxFF simulation

Hua Mao, Jie Wang, Yalong Xia, Zeyao Ma et autres

Mineral insulating oil serves as the core insulation and cooling medium of power transformers, and its pyrolysis and gas generation behavior directly determine the safe operation of equipment. Conventional dissolved gas analysis (DGA) only targets small-molecule C1/C2 gases produced in the late …

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Calibrated Probabilistic Forecasting and Measured Discharge Physics for Deliverable Electric Vehicle Flexibility

Jie Wang, Q Wang, Boyu Wang, Morteza Dabbaghjamanesh

Electric vehicle (EV) charging has a large, spatially clustered, schedulable load whose vehicle-to-grid flexibility can be sold back to the power system. That flexibility has grid value only when the committed quantity can be reliably delivered under uncertainty. Open forecasting benchmarks operators …

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Temporal-spatial-angular synchronization of LiDAR-camera fusion perception for low-altitude UAVs

Rongqing Lin, Jie Wang, Jian Zu, Keren Dai

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Physics-Tuned Metainitialization Network for Tool Wear Prediction in Industrial IoT

S.S. Li, Yulin Liu, Anhang Chen, Jie Wang et autres

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Robust Decentralized Federated Learning for Automatic Modulation Classification Under Impulsive Noise and Data Heterogeneity

Jitong Ma, Jianing Li, Tianyu Wang, Si‐Nian Jin et autres

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2-D DOA Estimation Using Augmented Extended Co-Prime Parallel Arrays in Impulse Noise

Jitong Ma, Haibo Xu, Xiao Chen, Jie Wang

With the rapid development of Internet of Things (IoT), accurate and robust two-dimensional direction of arrival (2-D DOA) estimation has become more and more crucial. This paper addresses the significant challenge of 2-D DOA estimation with high degrees of freedom (DOF) under …

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A Tensorial Target Detection Framework for MIMO Wireless Sensing System

Luoyan Zhu, Yinsheng Liu, Jie Wang, Yangyang Wang et autres

Multiple-input multiple-output wireless sensing systems achieve high-resolution detection through spatial diversity. However, they suffer from reliability degradation under low signal-to-noise ratio (SNR) conditions. Conventional matrix-based methods may discard critical target information embedded in inter-dimensional signal correlations due to dimension-reduction flattening operations. To …

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Feature-Screened and Structure-Constrained Deep Forest for Unsupervised SAR Image Change Detection

Wanying Song, Ruijing Zhu, Jie Wang, Yinyin Jiang et autres

Deep forest-based models for synthetic aperture radar (SAR) image change detection are generally challenged by noise sensitivity and high feature redundancy, which significantly degrade the prediction performance. To address these issues, this article proposes a structure-constrained and feature-screened deep forest, abbreviated as …

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Contactless Rotation Speed Measurement of Small-Scale Rotors Based on mm-Wave Radar

Xuanheng Li, Wang Jianyu, Yulong Zhang, Haichuan DING et autres

The accurate measurement of rotors’ rotation speeds is critical for the stability and efficiency of precision manufacturing and industrial automation systems. Existing techniques, primarily based on electromagnetic or optical sensors, often have limitations, such as restricted operational range and reduced measurement accuracy …

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