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Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning [PDF]

open access: yesBioMedical Engineering OnLine, 2023
Objectives This study aims to develop and evaluate the deep learning-based classification model for recognizing the pathology of renal tumor from macroscopic cross-section image.
Zefang Lin   +6 more
doaj   +2 more sources

An Experimental Comparison between Wing Root and Wingtip ‎Corrugation Patterns of Dragonfly Wing at Ultra-low Reynolds ‎Number and High Angles of Attack‎ [PDF]

open access: yesJournal of Applied and Computational Mechanics, 2022
This study presents the empirical comparison between the wing root and wingtip corrugation patterns of dragonfly wing in the newly-built wind-tunnel at the IAUN.
Mohammad Hojaji   +2 more
doaj   +1 more source

Edge Detecting Method for Microscopic Image of Cotton Fiber Cross-Section Using RCF Deep Neural Network

open access: yesInformation, 2021
Currently, analyzing the microscopic image of cotton fiber cross-section is the most accurate and effective way to measure its grade of maturity and then evaluate the quality of cotton samples.
Defeng He, Quande Wang
doaj   +1 more source

A Comparison of Two Artificial Intelligence Approaches for Corrugated Board Type Classification

open access: yesEngineering Proceedings, 2023
Corrugated board is an environmentally friendly, commonly used packing material. Its basic structure consists of two liners and a flute between them. The mechanical properties and strength of the corrugated board depend not only on the constituent papers
Maciej Rogalka   +2 more
doaj   +1 more source

Identification of Geometric Features of the Corrugated Board Using Images and Genetic Algorithm

open access: yesSensors, 2023
The corrugated board is a versatile and durable material that is widely used in the packaging industry. Its unique structure provides strength and cushioning, while its recyclability and bio-degradability make it an environmentally friendly option.
Maciej Rogalka   +2 more
doaj   +1 more source

Analysis of Fiber Distribution and Volume Ratio of Unidirectional Composite for Micromodels [PDF]

open access: yesTransactions of the VŠB-Technical University of Ostrava, Mechanical Series, 2013
This work focuses on assessment of real fiber and matrix volume ratios of unidirectional fiber composites which will be used while designing corresponding micromodels.
Hana SRBOVÁ   +3 more
doaj   +1 more source

A Study on Selection of Process Conditions through Cross Section Analysis of Laser Cutting of Hastelloy Thin Plate [PDF]

open access: yes한국정밀공학회지, 2017
To evaluate the quality of the cross section of Ni alloy thin plate cut by laser, we have proposed an analysis method using SEM image to measure surface roughness of cross section.
Chan Gyu Kim   +2 more
doaj   +1 more source

Quick measurement of all filaments' diameters in E-glass yarn by Image-Pro Plus

open access: yesJournal of Industrial Textiles, 2022
At present, there are many methods to measure the diameters of filaments in E-glass yarn, but only the average diameter is reported, which cannot reflect all the filaments in the yarn.
Tianyong Zheng, Kaidao Yang, Xi Wang
doaj   +1 more source

Automated image segmentation method to analyse skeletal muscle cross section in exercise-induced regenerating myofibers

open access: yesScientific Reports, 2021
Skeletal muscle is an adaptive tissue with the ability to regenerate in response to exercise training. Cross-sectional area (CSA) quantification, as a main parameter to assess muscle regeneration capability, is highly tedious and time-consuming ...
Masoud Rahmati, Abdolreza Rashno
doaj   +1 more source

Dynamic Analysis of Impulsive Differential Chaotic System and Its Application in Image Encryption

open access: yesMathematics, 2023
In this paper, we study the dynamic behavior of an impulse differential chaotic system which can be applied to image encryption. Combined with the chaotic characteristics of the high dimensional impulsive differential equations, the plaintext image can ...
Junrong Guo, Xiaolin Liu, Ping Yan
doaj   +1 more source

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