Search Results - data processing for defect detection

Less-supervised learning with knowledge distillation for sperm morphology analysis by Ali Nabipour, Mohammad Javad Shams Nejati, Yasaman Boreshban, Seyed Abolghasem Mirroshandel

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THE USE OF CRYOCONSERVATED PLACENTA FOR PREVENTION OF PATHOLOGIC SCAR FORMATION OF THE HEAD AND NECK AT THE INTRA- AND POSTOPERATIVE STAGE IN PLANNED SURGERY by O.A. Toropov, D.S. Avetikov, K.P. Lokes, D.V. Steblovskyi, V.M. Skrypnyk, R.A. Prykhidko

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Development of Digital NDT Methodology: Data Augmentation for Automated Fluorescent Penetrant Inspection of Aircraft Engine Blades by Milan T. Bril, Daniel Friesen, Konstantinos Stamoulis

“…Because of the aging aerospace sector, and because of the safety-criticality of the inspection, aerospace companies aim to automate (parts of this) inspection process to support inspectors. This paper focuses on a model that can assist inspectors by detecting (possible) defects. …”
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Suppression of additive periodic low-frequency interference on eddy current defectograms by Leonid Y. Bystrov, Artemy N. Gladkov, Egor V. Kuzmin

“…The analysis means the process of detecting on defectograms the presence of defective areas and identification of structural elements of the rail track, taking into account noise and possible interferences of various natures. …”
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FastContext: A tool for identification of adapters and other sequence patterns in next generation sequencing (NGS) data by E. Viesná, V. Fishman

“…Despite a fairly high level of current knowledge, during the protocol development process researches often have to deal with various kinds of unexpected experiment outcomes, which result either from lack of information, lack of knowledge, or defects in reagent manufacturing. …”
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Development of wireless electronic nose and using of remote monitoring by HU Ying, WANG Jun

“…The traditional electronic noses commonly use the expensive card for data acquisition, which leads to the increased cost, meanwhile the existence of wired access need high maintenance cost and the extensible system defects and mobility are poor, especially it can’t detect in real-time in harmful environment. …”
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An Algorithm for Correcting Levels of Useful Signals on Interpretation of Eddy-Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…The analysis means a process of determining the presence of defective sections along with identifying structural elements of railway tracks in defectograms. …”
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Smart Manufacturing With Industrial Internet of Things: Advances in TIG Welding for SS304 Stainless Steel by Mukhtar Sama, Amit Sata, Gaurang Joshi, Dhanesh G. Mohan

“…This work also explore the potential application of IIoT in inspection to improve the inspection process. By capturing and processing weld images, we could measure bead width and detect any visible surface defects using edge detection and contour analysis. …”
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The transformative power of artificial intelligence in pharmaceutical manufacturing: Enhancing efficiency, product quality, and safety by Mukesh Vijayarangam Rajesh, Karthikeyan Elumalai

“…AI also enhances blister pack and vial packing methods and automates quality control inspections to ensure consistency of products by detecting defects. Consistent, reliable, and effective production processes rely on real-time monitoring and AI-driven adjustments, which directly contribute to manufacturing pharmaceutical products of improved quality. …”
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Application of Convolutional Neural Networks for Recognizing Long Structural Elements of Rails in Eddy-Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…The analysis means a process of determining the presence of defective sections along with identifying structural elements of railway tracks in defectograms. …”
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Application of Neural Networks for Recognizing Rail Structural Elements in Magnetic and Eddy Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…The analysis means a process of determining the presence of defective sections along with identifying structural elements of railway tracks on defectograms. …”
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An Efficient Algorithm for Finding a Threshold of Useful Signals in the Analysis of Magnetic and Eddy Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin

“…The analysis means a process of determining the presence of defective sections along with identifying structural elements of railway tracks on defectograms. …”
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Attitude to themselves and to the time perspective of women with cosmetic problems of their facial skin by E. S. Bagnenko

“…Prospects of research related to the study of the dynamics of self-esteem of attitude towards oneself and the perception of a time perspective in the process of cosmetological correction of facial skin defects, as well as the structure of the personality of women seeking cosmetic help.…”
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Cross-modality transfer for DED-LB/M: AI-based prediction of schlieren phenomena from coaxial imaging by Benedikt Brandau, João Sousa, Rico Hemschik, Frank Brueckner, Alexander F.H. Kaplan

“…The results demonstrate that artificial intelligence-based analysis of coaxial imaging can provide schlieren-equivalent process information, making it possible to monitor refractive index variations, detect process deviations and improve defect prediction in real time. …”
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High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning by Junyoung Seo, Taekyeong Kim, Kisung You, Youngmin Moon, Jina Bang, Waunsoo Kim, Il Jeon, Im Doo Jung

“…Our domain adaptation based machine learning model, which accounts for equipment wear and environmental variations, achieves a defect detection accuracy of 97.8% based on machine data and process conditions. …”
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Calculating permissible deviations of vibration accelerations of printed circuit assemblies by simulation modeling by V. K. Bityukov, A. V. Dolmatov, A. A. Zadernovsky, A. I. Starikovsky, R. M. Uvaysov

“…Experimental verification of this method was carried out using the SolidWorks software for modeling mechanical processes. This enabled the tolerance values for PCA vibration acceleration at the control point at the first resonant frequency to be established and experimental data to be obtained when introducing various defects. …”
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Boost-Classifier-Driven Fault Prediction Across Heterogeneous Open-Source Repositories by Philip König, Sebastian Raubitzek, Alexander Schatten, Dennis Toth, Fabian Obermann, Caroline König, Kevin Mallinger

“…In this paper, we analyze 2.4 million commits drawn from 33 heterogeneous open-source projects, spanning healthcare, security tools, data processing, and more. By examining each repository per file and per commit, we derive process metrics (e.g., churn, file age, revision frequency) alongside size metrics and entropy-based indicators of how scattered changes are over time. …”
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Deep Learning Automated System for Thermal Defectometry of Multilayer Materials by A. S. Momot, R. M. Galagan, V. Yu. Gluhovskii

“…The proposed system consists of a heating source, an infrared camera for recording sequences of thermograms and a digital information processing unit. Three neural network modules are used for automated data processing, each of which performs one of the tasks: defects detection and classification, determination of the defect depth and thickness. …”
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Development of Automatic Inspection and Optimization Platform for Computer Numerical Control Machining Using Automatic Optical Inspection and Artificial Intelligence by Qi-Ren Lin, Bo-Cing Hu, Liang-Yin Kuo, Ting-Yi Shen

“…We developed an automatic optical inspection (AOI) system for detecting defects in finished workpieces and determining the parameters for CNC machining. …”
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Advances of Machine Learning in Phased Array Ultrasonic Non-Destructive Testing: A Review by Yiming Na, Yunze He, Baoyuan Deng, Xiaoxia Lu, Hongjin Wang, Liwen Wang, Yi Cao

“…This article provides an overview of recent research advances in ML applied to PAUT, covering key applications such as phased array ultrasonic imaging, defect detection and characterization, and data generation, with a focus on multimodal data processing and multidimensional modeling. …”
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