Li Tian

Adaptive multi-objective differential evolution algorithm driven by knowledge of superior-inferior subpopulations with application to sodium gluconate process

Li Tian, Changyu Cai, Zhichao Li, Xiaoli Yan

cn (code pays fourni par la source)

Error compensation model by variational mode decomposition method for precision angle encoders

Ao Peng, Yi Fang, Yongsheng Shi, Dong Niu et autres

Abstract Angle encoders enable high-accuracy and reliable angular measurements by the signal interpolation of light interference, in which the signal error plays an important role in limiting the measurement accuracy. To improve the accuracy of angle encoders, an error compensation model that …

cn (code pays fourni par la source)

RAUQ-4DRecon：A Robust Anatomy-based Ultra-Quality 4D MRI reconstruction workflow

Weiwei Liu, Weihu Wang, Hao Wu, Joseph H. C. Lai et autres

Motivation: Current deep-learning and prior-image-based four-dimensional MRI (4D-MRI) reconstruction methods lack generalizability, limiting its clinical adoption. Goal(s): To develop a generalizable deep-learning-based 4D-MRI reconstruction workflow. Approach: We propose RAUQ-4DRecon, a workflow trained on XCAT-generated data with diverse contrasts and physiological parameters. Structural …

V‐UNet: Medical Image Segmentation Based on Variational Attention Mechanism

Yang Zhang, Qiang Yang, Li Tian, Fanghong Zhang et autres

ABSTRACT Accurate medical image segmentation plays a crucial role in improving the precision of computer‐aided diagnosis. However, complex boundary shapes, low contrast and blurred anatomical structures make fine‐grained segmentation a challenging task. Variational Bayesian inference quantifies uncertainty through probability distributions and can …

cn, au, de (code pays fourni par la source)

Bearing Fault Diagnosis for Imbalanced Data Based on Multi-Scale Data Generation and Ensemble Modeling

Zhichao Li, Mingxue Shen, Li Tian

Accurate fault diagnosis of bearings is of utmost importance, as bearings are crucial components in rotating machinery. Deep Learning (DL) has developed rapidly in recent years and is widely used in the field of fault diagnosis. The bearing fault diagnosis method based …

cn (code pays fourni par la source)

Generative Adversarial Network based Data Augmentation Method for Bearing Fault diagnosis

Zhichao Li, Mingxue Shen, Lei Qin, Li Tian

As a critical component of rotating machinery, the fault diagnosis of bearings holds significant importance. The deep learning-based approach to bearing fault diagnosis necessitates a substantial amount of fault data, which is often challenging to obtain in practical engineering scenarios. This data …

cn (code pays fourni par la source)

Virtual monochromatic image-based automatic segmentation strategy using deep learning method

Li Chen, Shutong Yu, Yan Chen, Chong Guo et autres

cn, hk, Éthiopie (code pays fourni par la source)

An Efficient Bi-Modal Fusion Framework for Music Emotion Recognition

Yao Xiao, Haoxin Ruan, Xujian Zhao, Peiquan Jin et autres

Current methods for Music Emotion Recognition (MER) face challenges in effectively extracting features sensitive to emotions, especially those rich in temporal detail. Moreover, the narrow scope of music-related modalities impedes data integration from multiple sources, while including multiple modalities often leads to …

cn (code pays fourni par la source)

1496: Image Fusion Using Pixelwise Gradient Model for Image Fusion (PGMIF)

Ka-Hei Cheng, Li Wen, Francis Kar-Ho Lee, Li Tian et autres

A novel monitoring method based on multi-model information extraction and fusion

Zhichao Li, Mingxue Shen, Li Tian, Xuefeng Yan

Abstract Modern industrial processes are increasingly complex, where multiple characteristics usually coexist in process data. Therefore, traditional monitoring methods based on a single model may ignore other data characteristics and obtain poor monitoring performance. Aiming at this problem, a novel monitoring method …

cn (code pays fourni par la source)

Aerodynamic Analysis and Optimization of Pantograph Streamline Fairing for High-Speed Trains

Xiang Kan, Yan Li, Li Tian, Jiye Zhang

A pantograph serves as a vital device for the collection of electricity in trains. However, its aerodynamic resistance can limit the train’s running speed. As installing fairings around the pantograph is known to effectively reduce the resistance, in this study, different fairing …

cn (code pays fourni par la source)

A multi-objective optimization based deep feature multi-subspace partitioning method for process monitoring

Zhichao Li, Li Tian, Xuefeng Yan

cn (code pays fourni par la source)