Junliang Wang

Feature Representation Learning by Knowledge-Informed Evolutionary Generating Programming for Remaining Useful Life Prediction of Winders

Jie Ren, Jie Zhang, Junliang Wang, Yun Cai et autres

Abstract Feature extraction from high-speed winding machines is crucial in diagnosing equipment failures in chemical fiber production. However, current methods often face challenges in prediction accuracy and adaptability, especially when accounting for varying degradation modes and operational conditions. This article proposes a …

cn (code pays fourni par la source)

PG-DGPRL: A physics-guided and uncertainty-aware feedforward force-admittance control method for soft-bodied operational robots

Yurong Guo, Jie Zhang, Junliang Wang

ca (code pays fourni par la source)

3D shape recognition and interpretability model based on the fusion of real visual and tactile point clouds

Feihong Ma, Jia Ma, Meng Chen, Yuliang Li et autres

cn (code pays fourni par la source)

Genome wide association and integrative analysis of backfat thickness in a Yorkshire pig population

Junliang Wang, Xiaodian Cai, Zhanming Zhong, Qing Lin et autres

Efficient genetic improvement of complex traits in pigs requires a deep understanding of their genetic architecture and a comprehensive catalog of molecular markers. Here, we conducted a genome-wide association study (GWAS) and conditional analysis in 4,144 Yorkshire pigs, using 10.4 million imputed …

cn (code pays fourni par la source)

A remaining useful life prediction method for rotating machinery based on trend encoding and multi-scale spatio-temporal feature fusion

Yurong Guo, Jie Zhang, Junliang Wang, Jian Mao et autres

ca, cn (code pays fourni par la source)

Inverse scheduling method for aircraft flat-tail assembly production based on improved genetic algorithm

Tengda Li, Min Hua, Junliang Wang, Wei Qin

The manufacturing process of the aircraft flat-tail assembly is complex and discrete. It typically involves manual assembly at fixed stations with variable shift teams. However, uncertainties can arise even after a scheduling scheme is created, leading to non-optimal or even infeasible schedules. …

cn (code pays fourni par la source)

Personalized Federated EEG Decoding With Structured Graph-Based Guidance

Wenlong Hang, Jiaxing Li, Junliang Wang, Shuang Liang et autres

Federated learning (FL) has attracted growing attention in the field of privacy-preserving electroencephalogram (EEG) decoding, as its capability of enabling collaborative learning of a shared global model among multiple clients (e.g., institutions or subjects). Despite the progress, the discrepant EEG data distribution …

cn, hk (code pays fourni par la source)

Machine learning prediction of the heavy metal concentration in soil

Jinfeng Chen, Wei Zhang, Yue Peng, Junliang Wang et autres

cn (code pays fourni par la source)

Weight-aware semi-supervised self-ensembling framework for interior decoration style classification

Lichun Guo, Hao Zeng, Junliang Wang, Shuang Liang et autres

Automatic classification of interior decoration styles has great potential to guide and streamline the design process. Despite recent advancements, it remains challenging to construct an accurate interior decoration style recognition model due to the scarcity of expert annotations. In this article, we …

cn (code pays fourni par la source)

Inverse Scheduling Method for Aircraft Flat-tail Assembly Production Based on Improved Genetic Algorithm

Tengda Li, Min Hua, Junliang Wang, Wei Qin

cn (code pays fourni par la source)

Improving genomic prediction in pigs by integrating multi-population data and prior knowledge

Junliang Wang, Yujin Lu, Wenjing Angela Zhang, Xiaodian Cai et autres

Genomic selection (GS) has become an essential tool for improving economically important traits in pigs. However, its accuracy depends heavily on the size and composition of the reference population. This study explores strategies for optimizing multi-population genomic evaluations by integrating prior biological …

cn (code pays fourni par la source)

Research on a Task-Driven Classification and Evaluation Framework for Intelligent Massage Systems

Lingyu Wang, Junliang Wang, Guangtao Liu, Mingzhu Fang et autres

As technologies become increasingly diverse and complex, Intelligent Massage Systems (IMS) are evolving from traditional mechanically executed modes toward personalized and predictive health interventions. However, the field still lacks a unified grading standard for intelligence, making it difficult to quantitatively assess a …

cn (code pays fourni par la source)