Showing 201 - 220 results of 962 for search 'while box testing', query time: 0.15s Refine Results
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    Recording dan Pencarian Silsilah Kambing Perah Menggunakan Algoritme Depth First Search by Rizki Wahyudi, Muhammad Iqbal, Lussy Dwi Oktaviana

    Published 2022-02-01
    “…The results of black-box recording system testing and pedigree search of goat data show the functional system went as expected. …”
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    A Novel YOLOv10-Based Algorithm for Accurate Steel Surface Defect Detection by Liefa Liao, Chao Song, Shouluan Wu, Jianglong Fu

    Published 2025-01-01
    “…YOLOv10n-SFDC incorporates advanced elements such as the DualConv module, SlimFusionCSP module, and Shape-IoU loss function, improving feature extraction, fusion, and bounding box regression to enhance accuracy. Testing on the NEU-DET dataset shows that YOLOv10n-SFDC achieves a mean average precision (mAP) of 85.5% at an Intersection over Union (IoU) threshold of 0.5, a 6.3 percentage point improvement over the baseline YOLOv10. …”
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  8. 208

    Empowering MSMEs with Data-Driven Insights: Mobile Sales Dashboard Application for MSMEs by Zalina Fatima Azzahra, Riska Yanu Fa'rifah, Syfa Nur Lathifah

    Published 2025-04-01
    “…This application was developed using Java and Firebase and provides sales summary features, best-selling cashiers, best-selling products, and less popular products, with time filters and graphical data visualization. Testing using Black Box Testing shows that all features run well, while the results of the User Acceptance Test (UAT) show that 90.625% of users feel that this application is easy to use and suits their needs. …”
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    PH monitoring system, temperature automation and clown fish feeding in aquarium using fuzzy logic method based on internet of things by Purnama Insany Gina, Somantri, Zulfa Oktaviani Siti, Sujjada Alun, Lucia Kharisma Ivana

    Published 2024-01-01
    “…Black box testing is used to test the monitoring system that has been designed and the test results show that this system has worked well, and usability testing has been carried out by 18 respondents, 87% agree with the system.…”
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    Assessing the Detection Capabilities of RGB and Infrared Models for Robust Occluded and Unoccluded Pedestrian Detection by Muhammad Habibullah Abdulfattah, Usman Ullah Sheikh, Muhammad Idrees Masud, Mohd Afzan Othman, Nurulaqilla Khamis, Mohammed Aman, Zeeshan Ahmad Arfeen

    Published 2025-01-01
    “…Through extensive training, validation, and testing phases on the FLIR dataset, the RGB model achieved mean Average Precision (mAP@0.5) of 0.8711, and 0.8739 during training and testing, while the IR model recorded a higher training mAP@0.5 of 0.9020, and 0.8729 during testing. …”
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    Assessing the performance and explainability of an avalanche danger forecast model by C. Pérez-Guillén, F. Techel, M. Volpi, A. van Herwijnen

    Published 2025-04-01
    “…<p>During winter, public avalanche forecasts provide crucial information for professional decision-makers as well as recreational backcountry users. While avalanche forecasting has traditionally relied exclusively on human expertise, avalanche warning services increasingly integrate data-driven models to support the forecasting process. …”
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