Results 1 to 10 of about 119,936 (297)

Micro-Scale Permeability Characterization of Carbon Fiber Composites Using Micrograph Volume Elements

Frontiers in Materials, 2021
To manufacture a high-performance structure made of continuous fiber reinforced plastics, Liquid Composite Molding processes are used, where a liquid resin infiltrates the dry fibers.
Luise Kärger, Julian Seuffert, Axel Spickenheuer   +2 more
exaly   +3 more sources

Robustness of machine learning to color, size change, normalization, and image enhancement on micrograph datasets with large sample differences

Materials and Design, 2023
Appropriate image preprocessing could improve machine learning performance, but the robustness of machine learning to preprocessing methods in micrograph datasets with significant sample differences remains unexplored.
Yuhong Zhao, Xiaolong Pei
exaly   +3 more sources

AutoCellANLS: An Automated Analysis System for Mycobacteria-Infected Cells Based on Unstained Micrograph

Biomolecules, 2022
The detection of Mycobacterium tuberculosis (Mtb) infection plays an important role in the control of tuberculosis (TB), one of the leading infectious diseases in the world.
Zhongbing Huang
exaly   +3 more sources

Predictive Capability Evaluation of Micrograph-Driven Deep Learning for Ti6Al4V Alloy Tensile Strength Under Varied Preprocessing Strategies

Metals
The purpose of this study is to develop a micrograph-driven model for Ti6Al4V mechanical property prediction through integrated image preprocessing and deep learning, reducing the reliance on manually extracted features and process parameters. This paper
Yuqi Xiong, Wei Duan
exaly   +3 more sources

Characterizing stomatal attributes and photosynthetic induction in relation to biochemical changes in Coriandrum sativum L. by foliar-applied zinc oxide nanoparticles under drought conditions

Frontiers in Plant Science, 2023
Abiotic stress, particularly drought, will remain an alarming challenge for sustainable agriculture. New approaches have been opted, such as nanoparticles (NPs), to reduce the negative impact of drought stress and lessen the use of synthetic fertilizers ...
Shakil Ahmed, Muhammad Tajammal Khan, Muhammad Tajammal Khan, Asim Abbasi, Inzamam Ul Haq, Aiman Hina, Muhammad Mohiuddin, Muhammad Atiq Ur Rehman Tariq, Muhammad Atiq Ur Rehman Tariq, Muhammad Zaheer Afzal, Qamar uz Zaman, Anne Wai Man Ng, Yong Li   +12 more
doaj   +1 more source

Determination of fibers volume fraction in layered composite materials by optical methods

Компьютерная оптика, 2022
A problem of determining the fiber volume fraction in fiber-reinforced strands of fabric-based laminated composites is considered. As a source of information about the structure of the material, digital micrographs of the ground surface of the cross ...
V.A. Komarov, A.A. Pavlov
doaj   +1 more source

Virtual microstructure design for steels using generative adversarial networks

Engineering Reports, 2021
The prediction of macro‐scale materials properties from microstructures, and vice versa, should be a key part in modeling quantitative microstructure‐physical property relationships. It would be helpful if the microstructural input and output were in the
Jin‐Woong Lee, Nam Hoon Goo, Woon Bae Park, Myungho Pyo, Kee‐Sun Sohn   +4 more
doaj   +1 more source

Classification of the Microstructural Elements of the Vegetal Tissue of the Pumpkin (Cucurbita pepo L.) Using Convolutional Neural Networks

Applied Sciences, 2021
Although knowledge of the microstructure of food of vegetal origin helps us to understand the behavior of food materials, the variability in the microstructural elements complicates this analysis.
Jimy Oblitas, Jezreel Mejia, Miguel De-la-Torre, Himer Avila-George, Lucía Seguí Gil, Luis Mayor López, Albert Ibarz, Wilson Castro   +7 more
doaj   +1 more source

Integrated Experimental Approach for Alloying of Surface Layer Ti6Al4V+B4C Metal Matrix Composites using Laser Treatment [PDF]

Materials Research, 2019
Surface engineering applications have brought the titanium and its alloys into the limelight in the manufacturing industries such as the aerospace, automobile, marine, chemical processing industry, nuclear power and biomedical.
Musibau Olalekan Ogunlana, Esther Titilayo Akinlabi, Mutiu Folorunsho Erinosho, Oluwagbenga Temidayo Johnson, Oluseyi Philip Oladijo   +4 more
doaj   +1 more source

A Pore Classification System for the Detection of Additive Manufacturing Defects Combining Machine Learning and Numerical Image Analysis

Engineering Proceedings, 2023
This study aims to enhance additive manufacturing (AM) quality control. AM builds 3D objects layer by layer, potentially causing defects. High-resolution micrograph data capture internal material defects, e.g., pores, which are vital for evaluating ...
Sahar Mahdie Klim Al-Zaidawi, Stefan Bosse   +1 more
doaj   +1 more source