Dong Liu

Sub-cloud aerosol intrusion and microphysical transition in boundary layer clouds revealed by integrated lidar system

Z G Zhang, Zuokun Lv, Zhiqiang Kuang, Di Wu et autres

Aerosol–cloud interactions are strongly regulated within the narrow transition layer immediately below cloud base, where aerosol activation and boundary-layer restructuring occur. However, continuous observations in this critical altitude range are frequently hindered by geometric overlap effects and severe signal attenuation under optically …

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Non-contact technologies for cattle monitoring: advances and challenges towards precision livestock farming

Xingshi Xu, Benhai Xiong, Dong Liu, Tomás Norton et autres

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Meteorological Factors Attribution Analysis of Aerosol Layer Structure Changes in Mie-Scattering Profiles Measured by Lidar

Siqi Yu, Wanyi Xie, Dong Liu, Peng Li et autres

The vertical distribution of atmospheric aerosol layers plays a fundamental role in understanding their climatic and environmental effects. Using one year of lidar observations in Jinhua, together with ground-based meteorological measurements and ERA5 reanalysis data, this study develops an integrated analytical framework …

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Unsupervised Super-Resolution for UAV Thermal Imagery via Diffusion Models with Emissivity-Guided Texture Transfer

Dong Liu, Min Sun, Xinyi Wang, Kelly Chen Ke

Due to hardware limitations of Thermal InfraRed (TIR) cameras, TIR images captured by Unmanned Aerial Vehicles (UAVs) suffer from Low Resolutions (LRs) and blurred textures. Improving the spatial resolution of TIR images is of great significance for subsequent applications. Existing image Super-Resolution …

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Sub-Cloud Aerosol Intrusion and Microphysical Transition in Boundary Layer Clouds Revealed by Integrated Lidar System

Zhisheng Zhang, Zuokun Lv, Zhiqiang Kuang, Decheng Wu et autres

The Symbolic Connotations of the Lotus in the ShuiLu Ritual Paintings of Baoning Temple

Dong Liu

Founded in 2013, Whioce Publishing, LLC is an open access publisher specializing in the publication of basic research and medical journals covering a diverse spectrum of life sciences and medicine for the benefit of humanity. Our leading journals include: 1) Journal of …

Light scattering matrices for cosmic dust particles for remote sensing data interpretation

Dmitriy N. Timofeev, Kirill S. Salnikov, Natalia V. Kustova, Alexander V. Konoshonkin et autres

This study presents the solving of the light scattering problem for cosmic dust particles within the geometrical and physical optics approximation for the case of random spatial orientation of particles and the single scattering. Here are under considering the three types of …

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A Machine-Learning-Based Cloud Detection and Cloud-Top Thermodynamic Phase Algorithm over the Arctic Using FY3D/MERSI-II

Caixia Yu, Xiuqing Hu, Yanyu Lü, Wenyu Wu et autres

The Arctic, characterized by extensive ice and snow cover with persistent low solar elevation angles and prolonged polar nights, poses significant challenges for conventional spectral threshold methods in cloud detection and cloud-top thermodynamic phase classification. The study addressed these limitations by combining …

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Exploration and Research on System Mission Reliability for Typical Air Combat Scenarios

Yi Pan, Baoshi Yin, Siqi Wang, Xiao Liu et autres

For the equipment system level task reliability analysis of aviation equipment, traditional modeling methods are difficult to meet the task reliability assessment requirements of defensive system task scenarios. This paper proposes the concept of reliability analysis based on enemy task execution. A …

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Rethinking Joint Optimization in Feature Compression: Insights from Person Re-Identification

Changsheng Gao, Zhuoyuan Li, Li Li, Dong Liu et autres

Joint optimization, which jointly optimizes compression and machine vision algorithms, is widely regarded as an effective strategy for enhancing compression performance in the field of coding for machines. However, existing joint optimization methods usually incorporate a semantics parsing module at the end …

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A case of 3D printing-assisted dual-channel spinal endoscopic osteochondroma removal

Dong Liu, Xiaoguang Fan, Ding Yan

Key clinical messageosteochondroma in cervical spinal canal is a very rare disease, most of which have been treated by open surgery.In this case report, we adopted double-channel endoscopic minimally invasive surgery to remove the tumor, and preoperative 3D printing was used to …

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Imaging-based lidar for atmospheric remote sensing: A review

Zheng Kong, Ruonan Fei, Yuan Cheng, Xinhong Wang et autres

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