Showing 221 - 240 results of 962 for search 'while box testing', query time: 0.14s Refine Results
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    Development of Web-App using Agile Scrum Method at PT. Stechoq Robotika Indonesia by Sadr Lufti Mufreni, Ahmad Mushawwir

    Published 2025-03-01
    “…A total of six key features were implemented Login, Dashboard, Station Management, AGV Management, Task Management, and Robot Control. Iterative Black Box Testing was conducted on these six features throughout both sprints, confirming their successful operation without any issues. …”
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  4. 224

    Discovery layer decisions, configurations and strategies by R. Schwartz

    Published 2020-07-01
    “…Within this group, the larger institutions with more financial and staff resources have designed a ‘’bento box’’ interface with open source software, while the other institutions with lesser means have chosen to create different instances of their subscribed proprietary discovery layers to meet their specific institutional demands and the specific needs of their patrons. …”
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  5. 225

    Molecular and biological markers for assessing endometrial receptivity in infertile women: A narrative review by Junfeng Li, Hange Liu, Justin Lim, Hang Xing, Yuan Chen, Shaozhe Yang, Xiuhong Fu

    Published 2025-04-01
    “…This review aims to provide scientific insights for precise infertility diagnostics and individualized treatment strategies while offering recommendations for future research development.…”
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    Object permanence in domestic cats (Felis catus) using violation-of-expectancy by owner and stranger. by Jemma Forman, Jordan S Rowe, David A Leavens

    Published 2025-01-01
    “…In single visible displacement (SVD) tests, the box manipulator (owner or researcher) hid a toy in one of two cardboard boxes for the cat to find. …”
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    Advancing deep learning-based segmentation for multiple lung cancer lesions in real-world multicenter CT scans by Xavier Rafael-Palou, Ana Jimenez-Pastor, Luis Martí-Bonmatí, Carlos F. Muñoz-Nuñez, Mario Laudazi, Ángel Alberich-Bayarri

    Published 2025-08-01
    “…The cohort was stratified into training (n = 868) and testing (n = 213) subsets. We developed an automated three-step pipeline, including thoracic bounding box extraction, multi-instance lesion segmentation, and false positive reduction via a novel multiscale cascade classifier to filter spurious and non-lesion candidates. …”
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