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    Malware detection technology analysis and applied research of android platform by Wei-ping WEN, Rui MEI, Ge NING, Liang-liang WANG

    Published 2014-08-01
    “…For the Android platform security problem, a mobile client and server collaborative malware detection pro-posal was proposed, where mobile client application was mainly based on permission detection technology and imple-mented lightweight testing. …”
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    Article
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    Malware detection technology analysis and applied research of android platform by Wei-ping WEN, Rui MEI, Ge NING, Liang-liang WANG

    Published 2014-08-01
    “…For the Android platform security problem, a mobile client and server collaborative malware detection pro-posal was proposed, where mobile client application was mainly based on permission detection technology and imple-mented lightweight testing. …”
    Get full text
    Article
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    Meta Ag: An automatic agricultural contextual metadata collection app by Md. Samiul Basir, Yaguang Zhang, Dennis Buckmaster, Ankita Raturi, James V. Krogmeier

    Published 2025-12-01
    “…Field evaluations show that the duration captured by Meta Ag differed from the actual recorded duration with a Root Mean Squared Error (RMSE) of 24.7s (range of 0s to 61s) and Meta Ag consistently detected all field access events via geofence triggers. …”
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    Article
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    Smartphone‐Embedded Artificial Intelligence‐Based Regression for Colorimetric Quantification of Multiple Analytes with a Microfluidic Paper‐Based Analytical Device in Synthetic Tea... by Meliha Baştürk, Elif Yüzer, Mustafa Şen, Volkan Kılıç

    Published 2024-12-01
    “…The model is also embedded into a smartphone via a custom‐designed Android application named ChemiCheck to complete on‐site colorimetric quantification without internet access in under 1 s. …”
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    Development of mobile application for tree height measurement using geometric principle: Establishing global database of tree height and data by Mubarak Mahmud, Jianhong Lin, Mojtaba Houballah, Ibrahim Garba Buba, Laure Barthes

    Published 2025-03-01
    “…Validation through Pearson correlation and Bland-Altman analyses demonstrated strong agreement, with root mean squared errors (RMSE) of 0.187 m for the clinometer and 0.192 m for M-Tree, alongside near-perfect correlations of 0.996 and 0.998, respectively. …”
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