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    Non-destructive detection of critical defects in additive manufacturing by Shaharyar Baig, Alireza Jam, Stefano Beretta, Shuai Shao, Nima Shamsaei

    Published 2025-02-01
    “…Abstract Non-destructive examination (NDE) based structural integrity assessment of additively manufactured (AM) metallic parts depends on the reliable detection of volumetric defects and the accurate representation of their detrimental features. …”
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    Detection of L-Proline-Catalyzed Michael Addition Reaction in Model Biomembrane by Masanori Hirose, Shigenori Sugisaki, Keishi Suga, Hiroshi Umakoshi

    Published 2019-01-01
    “…A method to detect the L-proline- (L-Pro-) catalyzed Michael addition reaction in model biomembranes has been established, using N-[p(2-benzimidazolyl)phenyl]maleimide and acetone as reactants. …”
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    Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active Thermography by Anthonin Demarbaix, Enrique Juste, Tim Verlaine, Ilario Strazzeri, Julien Quinten, Arnaud Notebaert

    Published 2024-11-01
    “…Additive manufacturing of advanced materials has become widespread, encompassing a range of materials including thermoplastics, metals, and ceramics. …”
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    Additive Attention for Vetting Transiting Exoplanet Candidates by Àlvar Hernàndez-Carnerero, Miquel Sànchez-Marrè, Juan Carlos Morales

    Published 2025-01-01
    “…In this study we propose a deep learning model architecture using long short-term memory (LSTM) networks and additive attention mechanisms for vetting transiting exoplanet candidates. …”
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    Improvement of multi-parameter anomaly detection method: Addition of a relational token between parameters by Hironori Uchida, Keitaro Tominaga, Hideki Itai, Yujie Li, Yoshihisa Nakatoh

    Published 2025-01-01
    “…To address this issue, extensive research has been conducted on automated anomaly detection in logs. However, due to the limited variety of available datasets, most studies have focused on sequence-based anomalies in logs, with relatively little attention paid to parameter-based anomaly detection. …”
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    In-situ defect detection and material property evaluationin additive manufacturing using acoustic signal and machinelearning by Abdullah Bin Zainal, Zheng Jie Tan, Saritha Samudrala, Zi Wen Tham, Lei Zhang, Santhakumar Sampath

    Published 2025-03-01
    “… In-situ monitoring is crucial for detecting defects and estimating material properties to ensure the quality of printed parts in additive manufacturing. …”
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    AN ITERATIVE PROCEDURE FOR OUTLIER DETECTION IN GSTAR(1;1) MODEL by Nur'ainul Miftahul Huda, Utriweni Mukhaiyar, Nurfitri Imro'ah

    Published 2022-09-01
    “…There are two types of outliers in the time series model, Innovative Outlier (IO) and Additive Outlier (AO). In the GSTAR model, outliers and spatial and time correlations can also be detected. …”
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    Combined use of near infrared spectroscopy and chemometrics for the simultaneous detection of multiple illicit additions in wheat flour by Xinyi Dong, Ying Dong, Jinming Liu, Siting Wu

    Published 2025-12-01
    “…To identify multiple illicit additives within wheat flour, a simultaneous detection model for three additives—azodicarbonamide, talcum and gypsum powders—was constructed using near-infrared spectroscopy and chemometrics methods. …”
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