Lu Liu

Applications of Acoustic Waves in Micro-Droplet Technologies

Lu Liu, Lijun Chen, Zheng Peng, Zachary B. Cluff et autres

Acoustofluidics has emerged as a powerful technique for the precise generation, sorting, manipulation, and stimulation of cell-laden droplets within emerging droplet microfluidic studies. Droplet acoustofluidics leverages various mechanisms, including acoustic radiation forces and acoustic streaming, to actively manipulate droplets non-invasively. The remarkable …

cn, us (code pays fourni par la source)

Agreement-Based Audio-Visual Segmentation:Champion Report for the MeViS-Audio Track in the 8th LSVOS Challenge

Yiwen Ren, Lu Liu, Yingxin Wang, Kexin Zhang et autres

The MeViS-Audio track asks a system to segment the objects described by a spoken motion expression throughout a video and to return empty masks when the described target is absent. We present a simple staged solution. Qwen3-ASR first converts speech into text. …

PC-RLNet: A High-Precision PM2.5 Prediction Framework via Residual Fusion of Pretrained LSTM and Lightweight Transformer

X Liu, Lu Liu, Xinlin Zhao, Ying Ren et autres

Accurate PM2.5 forecasting is critical for public health protection, yet remains challenging due to the high volatility and nonlinearity of atmospheric pollutant concentrations [2]. While traditional Long Short-Term Memory (LSTM) networks demonstrate deployment efficiency, they struggle to capture global temporal dependencies in …

cn (code pays fourni par la source)

Towards efficient and secure vertical federated learning with additive ensemble

Shanshan Wang, Zhenxiang Chen, Lu Liu, Wenlin Xu

cn, us (code pays fourni par la source)

A self-supervised acoustic anomaly detection model with a multi-branch attention mechanism

Qinrui Lv, Yuyou Gong, Bo Yang, Yiluo Zhou et autres

Abstract Acoustic Anomaly Detection plays a crucial role in industrial scenarios, especially in maintaining equipment stability and early warning capabilities. However, due to the scarcity and complexity of anomalous patterns, current mainstream unsupervised methods—particularly those based on autoencoders—still face significant limitations in …

cn (code pays fourni par la source)

A Fast Autofocus System Based on the Advancement of the CGH Algorithm

Lu Liu, Ping Jiang, Huajun Yang, D. Wang et autres

Traditional CGH algorithms often face a trade-off between computational efficiency and reconstruction fidelity. In this study, we propose a hybrid hologram synthesis framework that combines geometric and physical optics to generate phase-only holograms for SLM. A freeform surface obtained from geometric optics …

cn (code pays fourni par la source)

Named entity recognition based on anchor span for manufacturing knowledge extraction

Q. Q. Sun, Chunjie Zhou, Lu Liu, Yu‐Chu Tian

cn, au (code pays fourni par la source)

Production and Decay Dynamics of the Charmed Baryon $Λ_c^+$ in $e^+e^-$ Annihilations near Threshold

BESIII Collaboration, M. Ablikim, М. Н. Ачасов, P. Adlarson et autres

The study of the charmed baryons is crucial for investigating the strong and weak interactions in the standard model and for gaining insights into the internal structure of baryons. In an $e^+e^-$ experiment the lightest charmed baryon, $Λ_c^+$, can be produced in …

Transistor-Structured Artificial Dendrites for Spatiotemporally Correlated Reservoir Computing

Yao Ni, Xingji Liu, Yue Yu, Lu Liu et autres

Neuromorphic electronics, which integrate sensing, storage, and computing to boost efficiency and performance, offer a low-cost, energy-efficient alternative for temporal data processing with edge computing potential when applied to reservoir computing (RC). However, current neuromorphic RC systems struggle with diverse spatial information …

cn, hk (code pays fourni par la source)

Development and testing of calibration device for differential pressure hydrostatic leveling based on liquid-level rise and fall method

Jianjun Cui, Kai Chen, Pinhong Yang, Yixv Wang et autres

Abstract In view of the current situation that it is difficult to achieve high-precision calibration for the widely used hydrostatic leveling in engineering construction and structural monitoring, a calibration method by controlling the liquid-level rise and fall is proposed. Firstly, a calibration …

cn, in, ca (code pays fourni par la source)

Multi-scenario modelling of urban spatial growth under water resources and aquatic ecological environmental constraints

Ran Xu, Lu Liu, Yaliang Liu, Xin Yi et autres

• We integrated SD and CLUE-S models to analyse urban growth and water resources. • SD model predicted urban land use changes with <10 % error and high accuracy. • Scenarios projected varied impacts on Changsha’s water and land use by 2030. …

cn (code pays fourni par la source)

Author response for "Development and Testing of Calibration Device for Differential Pressure Hydrostatic Leveling Based on Liquid-Level Rise and Fall Method"

jianjun cui, Kai Chen, Pinhong Yang, Yixv Wang et autres