Results 201 to 210 of about 3,522,681 (315)

Integrating hyperspectral reflectance and machine learning for rapid diagnosis of nutrient deficiencies in greenhouse chrysanthemum leaves. [PDF]

BMC Plant Biol
Wu Y, Lu J, Liu X, Zhan Q, Zhao S, Chen F, Fang W, Guan Z.   +7 more
europepmc   +1 more source

Classification of soybean frogeye leaf spot disease using leaf hyperspectral reflectance. [PDF]

PLoS One, 2021
Liu S, Yu H, Sui Y, Zhou H, Zhang J, Kong L, Dang J, Zhang L.   +7 more
europepmc   +1 more source

Seeded Growth of Plasmonic Core‐Shell NU‐1000 NanoMOFs With Intracellular Optical Readout

Small, EarlyView.
Seed‐mediated growth yields plasmonic core‐shell nanocomposites by encapsulating gold nanoparticles within NU‐1000 nanoMOFs, preserving morphology and optical response. The materials exhibit tunable photoluminescence quenching, efficient photothermal heating, and SERS activity.
Manuel Ceballos, Oleg Semyonov, Enrica Soprano, Ethan Kensett, José Manuel Vila‐Fungueiriño, Timothy M. Craig, Sara Bals, Ester Polo, Beatriz Pelaz, Pablo del Pino   +9 more
wiley   +1 more source

A Digital Atlas of Human Ultrastructure

Small, EarlyView.
An interactive resource with ultrastructural data of human organs. Analyse organs from sub‐millimeter up to the nanometer range of macromolecules in a similar way as Google‐earth: https://www.nanotomy.org/OA/HumanAtlas/. ABSTRACT Electron microscopy (EM) is the method to visualize the building blocks of life in organs and tissues at biomolecular ...
Anouk H. G. Wolters, Kim Kats, Jeroen Kuipers, Erik Bleuel, Ben N. G. Giepmans   +4 more
wiley   +1 more source

Generalizability and transferability of machine learning models using hyperspectral reflectance data for maize traits. [PDF]

Sci Rep
Xu R, Ferguson J, Breil-Aubert M, Kromdijk J, Nikoloski Z.   +4 more
europepmc   +1 more source

Scalable Room‐Temperature Terahertz Graphene Cameras

Small Methods, EarlyView.
ABSTRACT Terahertz (THz) imaging has emerged as a powerful tool for non‐destructive, label‐free analysis across several scientific disciplines, ranging from materials science to biomedical research. By capturing the spatial‐dependent information in a broad range of frequencies, this technique enables the identification of chemical composition ...
Lili Shi, Leonardo Viti, Miriam S. Vitiello   +2 more
wiley   +1 more source

A deep learning architecture for leaf water potential prediction in <i>Populus euramericana</i> 'I-214' from hyperspectral reflectance. [PDF]

Front Plant Sci
Gong XW, Yu QS, Li HL, Fang ZQ, Guo JX, Li ZK, Wang HF, Pang ZY, Peng YH, Sun XK, Hao GY.   +10 more
europepmc   +1 more source

AI‐Powered GPR Characterization of Peatland Underground Cavity Induced by Smoldering Wildfire: A Laboratory Proof‐of‐Concept

Safety Science and Technology, EarlyView.
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang, Zilong Wang, Yichao Zhang, Yanghan Su, Shaorun Lin, Xinyan Huang   +5 more
wiley   +1 more source

Hyperspectral reflectance spectroscopy for rapid nondestructive microstructural evaluation of high strength internally cured concrete. [PDF]

Sci Rep
Kiran V K, Sathyan D, Nidamanuri RR.
europepmc   +1 more source

Hyperspectral and Multispectral Image Fusion via Deep Generalised Linear Mixed Model

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Hyperspectral–multispectral image fusion is an incomplete information fusion problem, and directly embedding information can lead to modality‐specific responses and cause spectral distortion, whereas the strong interband redundancy of hyperspectral images makes full‐dimensional fusion inefficient.
Jiaming Wang, Ziyue Yang, Yu Wang, Xiujuan Lang, Tao Lu, Qingwei Zhuang   +5 more
wiley   +1 more source