Results 231 to 240 of about 223,907 (251)

Evaluation of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-TOF) Mass Spectrometry for Identification of Adult <i>Schistosoma mansoni</i> Worms and Eggs. [PDF]

Pathogens
Conrad L, Falcone FH, Becker SL, Sy I.
europepmc   +1 more source

A comparative analysis of three distinct rehydrating solutions for addressing liver tissue desiccation resulting from dehydration failure. [PDF]

PeerJ
Shi W, Fu G, Shi H, Qi H, Fu H.
europepmc   +1 more source

Identification of elastoplastic microscopic material parameters within a homogenization scheme

International Journal for Numerical Methods in Engineering, 2015
A two-scale parameter identification approach is investigated. The microscopic material parameters of a two-scale model are identified by comparing macroscopic simulation data with macroscopic full-field measurements of the micro-structured specimen ...
J Mergheim, Paul Steinmann
exaly   +2 more sources

Intelligent Identification for Rock-Mineral Microscopic Images Using Ensemble Machine Learning Algorithms

Sensors, 2019
It is significant to identify rock-mineral microscopic images in geological engineering. The task of microscopic mineral image identification, which is often conducted in the lab, is tedious and time-consuming.
Mingchao Li, Qiubing Ren, Jonathan Shi   +2 more
exaly   +4 more sources

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Deep learning of rock microscopic images for intelligent lithology identification: Neural network comparison and selection

Journal of Rock Mechanics and Geotechnical Engineering, 2022
Zhenhao Xu, Peng Lin
exaly  

The fishmeal adulteration identification based on microscopic image and deep learning

Computers and Electronics in Agriculture, 2022
Jie Geng, Xianrui Kong, Zhiyou Niu
exaly  

Automatic identification of cashmere and wool fibers based on microscopic visual features and residual network model

Micron, 2021
Kai Lu, Yonggang Chen, Boping Zhang
exaly  

Rapid Identification of Infectious Pathogens at the Single-Cell Level via Combining Hyperspectral Microscopic Images and Deep Learning

Cells, 2023
Hu Bingliang
exaly