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12 results for “Defect Classification”
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Research ArticleOpen accessPhrase in the titleDefect Classification of Reinforced Concrete Structures with Nondestructive Tests Using Statistical and Machine Learning MethodsSajjad Sayyar-Roudsari, Armaghan Shalbaftabar, Farshid Damirchilo et al.In this study, twelve reinforced concrete beams were constructed, each with specified dimensions and initial compressive strength. The beams were divided into four groups: A control group without any defect, a void group featuring a centrally located void, a corrosion group and a debonding group. The impact echo test was used for nondestructive testing, gathering data on compressive and shear … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 3 · 11 Jun 2024 · 5,258 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCapsule Defect Detection and Classification Using Enhanced MobileNet ModelWenqing Bian, Yongzhi Huang, Baolian Shan, Yanting ChangThe quality of capsules has a direct impact on human health. However, defects inevitably arise during the capsule manufacturing process, and manual sorting is required. Most studies on capsule defects focus on detecting surface imperfections and those on internal capsule defects remain relatively limited. This study classifies four types of capsules using the deep learning model MobileNet, aiming to accurately … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 5 Nov 2024 · 5,203 accessesView PDFCite
EditorialOpen accessIn the keywordsA New Sequence Space Defined by Spectrum Operator and Musielak-Orlicz FunctionAyhan Esi, Nagarajan SubramanianIn this study using the concept of generalized difference operator we have introduced and examined various spectrum of the operator D(p, q, r, s, t, u) on the sequence space χ3 defined by Musielak-Orlicz function. Moreover, we have established some relations concerning with this space. …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 31 May 2017 · 6,760 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA NOVELTY APPROACH OF SPATIAL CO-OCCURRENCE AND DISCRETE SHEARLET TRANSFORM BASED TEXTURE CLASSIFICATION USING LPBOOSTING CLASSIFIERC. Vivek, S. AudithanRecently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial co-occurrence with discrete shearlet transformation through the LPboosting classification. It can be considered as a frame through … …Journal of Computer Science, Vol. 10, Issue 5 · 11 Jan 2014 · 6,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractLightweight Deep Learning Model for TFT-LCD Pixel Defect Detection Using MobileNetV2J. Sheikshabjan, K. Dhanakodi, A.T. Rajamanickam et al.The proposed methodology aims to achieve high classification accuracy while maintaining computational efficiency and minimizing inference latency, making it highly suitable for real-time industrial inspection scenarios. This study evaluated five traditional transfer learning models (VGG16, ResNet50, MobileNetV2, Xception, and InceptionV3) for comparison in pixel defect detection. MobileNetV2-based implementation demonstrated a competitive average test accuracy of 0.9916, outperforming several baselines while … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 673 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite
Review ArticleOpen accessIn the abstractDefect Types and Software Inspection Techniques: A Systematic Mapping StudyEdson OliveiraJr, Ricardo Theis GeraldiSoftware inspection has been used to guarantee and control the quality of products by detecting defects, which can be spread out throughout the entire software life cycle. Therefore, the main premise is to identify and reduce the number of defect types in software artifacts during inspections. This work focuses on providing an up to dated overview of existing defects in … …Journal of Computer Science, Vol. 13, Issue 10 · 13 Oct 2017 · 7,925 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Edge Detection Techniques Applied in the Identification of Centerline Segregation on Steel SlabsLuciene Coelho Lopez Queiroz, André Riyuiti HirakawaThe method Baumann, or Sulphur print as it is also known, is one of the tools used to evaluate the operating conditions of continuous casting machine and quality control of the production of steel slabs. The correct evaluation of centerline segregation severity, analyzed in Sulphur print, is essential to control this process. However, given the classification complexity between the different … …American Journal of Applied Sciences, Vol. 12, Issue 8 · 10 Sep 2015 · 6,821 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputer Machine Vision Inspection on Printed Circuit Boards Flux DefectsAng TeohOng, Zulkifilie Bin Ibrahim, Suzaimah RamliThe new visual inspection systems techniques using real time machine vision replace the human visual manual inspection on PCB flux defects, which brings harmful effects on the board which may come in the form of corrosion and can cause harm to the assembly. In short, it brings improvement in Printed Circuit Boards (PCB) production quality, principally concerning the acceptance or … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 3 · 28 Aug 2013 · 7,955 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Approach to Damage Detection in Composite Body Structures Using Time Compensated Hyperspectral Image Analysis TechniqueMahmoud Zaki IskandaraniA novel approach to damage detection in composite car body structures using hyperspectral image index analysis algorithm is presented and discussed. The adapted technique allows the monitoring and analysis of a components structure based on correlation between time spaced thermal images. The technique produces several organized tables resulting from image fusion and frame deviation pixel redistribution calculations, which results in … …American Journal of Applied Sciences, Vol. 10, Issue 2 · 1 Feb 2013 · 7,267 accessesView PDFCite