Results 91 to 100 of about 1,308 (190)

Three‐dimensional morphological analysis of Chang'e‐5 lunar soil using deep learning‐automated segmentation on computed tomography scans

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Grain morphology is a fundamental characteristic of lunar soil that influences its mechanical properties, sintering behavior, and in situ resource utilization. However, traditional two‐dimensional imaging methods are time‐consuming and lack full three‐dimensional (3D) structural information. This study presents an automated deep learning‐based
Siqi Zhou, Yu Jiang, Xinyang Tao, Feng Li, Chi Zhang, Wei Yang, Yangming Gao   +6 more
wiley   +1 more source

The Integration of Micro-CT Imaging and Finite Element Simulations for Modelling Tooth-Inlay Systems for Mechanical Stress Analysis: A Preliminary Study. [PDF]

J Funct Biomater
Nikolova N, Raykovska M, Petkov N, Tsvetkov M, Georgiev I, Koytchev E, Iankov R, Dimova-Gabrovska M, Gusiyska A.   +8 more
europepmc   +1 more source

Identifying 3D key parameters of truck cranes for online overturning supervision in railway‐involved constructions

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Truck cranes overturning accidents pose significant safety risks of railway infrastructures and may result in severe structural damage, highlighting the need for overturning supervision systems. To address the challenges of online overturning supervision for truck cranes, the paper proposes a key parameter identification framework of truck ...
Wen Sun, Yanchao Dong, Jie Tang, Lulu Zhang, Yunzhu Meng, Yao Shan, Xianfei Yin, Gang Shi   +7 more
wiley   +1 more source

Multimodal Mamba with multitask learning for building flood damage assessment using synthetic aperture radar remote sensing imagery

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Most post‐disaster damage classifiers perform best when destructive forces leave clear spectral or structural signatures. However, these signatures are often subtle or absent after inundation, where damage may be nonstructural and difficult to detect.
Yu‐Hsuan Ho, Ali Mostafavi
wiley   +1 more source

Holo-U²Net for High-Fidelity 3D Hologram Generation. [PDF]

Sensors (Basel)
Yang T, Lu Z.
europepmc   +1 more source

OrchardQuant‐3D: combining drone and LiDAR to perform scalable 3D phenotyping for characterising key canopy and floral traits in fruit orchards

Plant Biotechnology Journal, EarlyView.
Summary Orchard fruits such as pear and apple are important for ensuring global food security and agricultural economy as they not only provide essential nutrients, but also support biodiversity and ecosystem services. Breeders, growers and plant researchers constantly study desirable tree morphological features and floral characteristics to ensure ...
Yunpeng Xia, Hanghang Li, Fanhang Zhang, Gang Sun, Kaijie Qi, Robert Jackson, Felipe Pinheiro, Xiaoman Liu, Yue Mu, Shaoling Zhang, Greg Deakin, E. Charles Whitfield, Shutian Tao, Ji Zhou   +13 more
wiley   +1 more source

A proposed reconstruction method of a 3D animation scene based on a fuzzy long and short-term memory algorithm. [PDF]

PeerJ Comput Sci
Zhou M.
europepmc   +1 more source

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

New method for calculating the windward area of irregular fragments. [PDF]

Sci Rep
Liu XY, Ouyang DH, Wang JY, Guo ZY, Yang CH.   +4 more
europepmc   +1 more source

Dual Polarimetric Radar Vegetation Index for monitoring forest moisture stress using time series of Sentinel‐1 SAR data

Plant Biology, EarlyView.
This study demonstrates the potential of the Sentinel‐1 Dual Polarimetric Radar Vegetation Index, combined with climate variables and the Standardized Precipitation–Evapotranspiration Index, to effectively detect and monitor drought‐induced stress in temperate broadleaf deciduous forests.
B. Ranjit, W. Bijker, H. Aghababaei, A. Stein   +3 more
wiley   +1 more source