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  1. 1

    Artificial Intelligence for Non-Destructive Imaging in Composite Materials by Mine Seckin, Pinar Demircioglu, Ahmet Cagdas Seckin, Ismail Bogrekci, Serra Aksoy

    Published 2025-02-01
    “…NDI plays a vital role in ensuring the strength and reliability of composite materials. Recent advancements in sensor technologies and AI-driven methods, such as machine learning and image processing, have opened up new ways to improve NDI systems, offering exciting opportunities for better performance. (2) Methods: This review takes a close look at how advanced sensor technologies and machine learning techniques are being integrated into NDI systems. …”
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    Particle Morphology Analysis of Biomass Material Based on Improved Image Processing Method by Zhaolin Lu, Xiaojuan Hu, Yao Lu

    Published 2017-01-01
    “…Particle morphology, including size and shape, is an important factor that significantly influences the physical and chemical properties of biomass material. Based on image processing technology, a method was developed to process sample images, measure particle dimensions, and analyse the particle size and shape distributions of knife-milled wheat straw, which had been preclassified into five nominal size groups using mechanical sieving approach. …”
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    Mathematical data processing according to digital image correlation method for polymer composites by Elena M. Strungar, Dmitrii S. Lobanov

    Published 2020-10-01
    “…The authors have identified the relation of the chosen parameters of experimental data processing using digital image correlation method with the scaled levels of consideration of composite materials strain processes. …”
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    Integrating experimental and theoretical investigations of porous graphite materials with scanning electron microscope image processing by Muhammad Punhal Sahto, Wang Wei, Muhammad Fawad Jamil, Awais Mehmood, Mariyam Sattar, Asif Raza, Mujib Ur Rahman, Mumtaz A. Qaisrani

    Published 2024-12-01
    “…This study addresses the need for improved measurement methods by employing image processing and computer vision (IPCV) techniques to enhance FD and permeability accuracy. …”
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    Multiscale Materials Imaging and Spectroscopy for Battery Materials by Youngwoo Choi, Gumin Kang, Seonghyun Kim, Yoonhan Cho, Jaewhan Oh, Dongho Kim, Jacob Choe, Jong Min Yuk, Pyuck‐Pa Choi, Yongsoo Yang, Sung‐Yoon Chung, Chi Won Ahn, Jongwoo Lim, Seungbum Hong

    Published 2025-05-01
    “…ABSTRACT Multiscale imaging and spectroscopy play a pivotal role in understanding the structural, chemical, and dynamic behavior of battery materials, providing critical insights that drive advancements in performance, longevity, and safety. …”
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    Modern metallography – the basis of foundry material science by A. G. Anisovich

    Published 2019-08-01
    “…The article briefly discusses the capebilities of modern metallography – optical contrasting, quantitative metallography, image processing programs. The question of the absence of modern literature on metallography is touched on. …”
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    RETRACTED ARTICLE: Image Processing Algorithm for Mechanical Properties Testing of High-Temperature Materials Based on Time-Frequency Analysis by Dong Sun, Yong Wei

    Published 2023-12-01
    “…We, the Editor and Publisher of the Journal Of Experimental Nanoscience, have retracted the following article, which is part of the Special Issue titled Adaptive Nanotechnology for Environmental Sustainability:Dong Sun & Yong Wei (2023) Image processing algorithm for mechanical properties testing of hightemperature materials based on time‐frequency analysis, Journal of Experimental Nanoscience, 18:1, DOI: 10.1080/17458080.2023.2170357Following publication, concerns were raised about the peer review and decision‐making processes for this special issue.After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor‐in‐Chief, it was confirmed that the article was not reviewed appropriately, in line with the Journal’s peer review standards and policy.As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract the article. …”
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    Machine Learning-Assisted Optical Characterization and Growth Modulation of Two-Dimensional Materials by Zihan Hu, Jiayi Liu, Xuefei Li, Zongyu Huang, Xiang Qi, Wenjuan Du

    Published 2025-05-01
    “…At a fundamental level, machine learning algorithms incorporate imaging systems to build highly accurate viewing frameworks for material analysis. …”
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    Printed Two-Dimensional Materials for Flexible Photodetectors: Materials, Processes, and Applications by Lingxian Kong, Shijie Wang, Qi Su, Zhiyong Liu, Guanglan Liao, Bo Sun, Tielin Shi

    Published 2025-02-01
    “…Furthermore, the solution processing for 2D materials coupled with printing functional film strategies to produce PDs are summarized. …”
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    Exploring the History of Cultural Interactions through Visual Material Opportunities and Challenges in the Digital Age by Bornet, Philippe

    Published 2025-05-01
    “…Given that images easily travel across all kinds of borders, they can be helpful guides in the study of transcultural processes. …”
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    Efficient Image Processing Technique for Detecting Spatio-Temporal Erosion in Boron Nitride Exposed to Iodine Plasma by Ahmed S. Afifi, Janith Weerasinghe, Karthika Prasad, Igor Levchenko, Katia Alexander

    Published 2025-06-01
    “…Tracking such sharpness is critical for maintaining the fine structures essential to the fabrication of modern semiconductor components. Overall, this image processing tool offers a powerful and adaptable method for accurately assessing surface degradation and morphological changes in materials used in plasma-facing and space propulsion environments.…”
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    Fluorescence Hyperspectral Detection of Escherichia coli Contamination on the Surface of Plastic Packaging Materials by XIONG Ziyi, PAN Liao, LU Lixin, TANG Yali, WANG Jun

    Published 2024-09-01
    Subjects: “…fluorescence hyperspectral; plastic packaging materials; escherichia coli; image processing; biofilm…”
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    Automated segmentation of medical images for 3D printing – voxel centric processing of spatially textured voxels by Norman Cushing, Barry Fell, Kazi Safowan Shahed, Kevin W. Moser, Guha Manogharan

    Published 2025-12-01
    “…This paper introduces a novel voxel-based approach, Voxel Centric Processor (VCP), that leverages Hounsfield Unit (HU) values from medical imaging data to create 3D-printed models with heterogeneous exterior and interior material properties. …”
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