Search Results - (( variable reflection means algorithm ) OR ( java application customization algorithm ))

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  1. 1

    Air quality measurement using remote sensing and digital images processing techniques / Lim, H. S. … [et al.] by Lim, H. S., Jafri, Mat, Abdullah, M. Z., Ahmad, A.N.

    Published 2004
    “…The newly developed algorithm produced a high degree of accuracy with the correlation coefficient (R) of 0.9001 and the root-mean-square error (RMS) of 5.1008 µg/m³ for PM10. …”
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  2. 2

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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    Thesis
  3. 3

    How social media crisis response and social interaction is helping people recover from Covid-19: an empirical investigation by Bukar, Umar Ali, A. Jabar, Marzanah, Sidi, Fatimah, Nor, R. N. H., Abdullah, Salfarina, Ishak, Iskandar

    Published 2022
    “…Furthermore, the IPMA was applied to evaluate the model’s usefulness, which compares the level of the variables from the performance scale mean value against the importance level. …”
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    Article
  4. 4

    Effect of vibration on hydraulic conductivity of riverbank filtration site / Fauzi Baharudin by Baharudin, Fauzi

    Published 2022
    “…The results have shown that the model developed with Scaled Conjugate Gradient (SCG) algorithm provided the best prediction with values for mean squared error (MSE) of 58.59 and R of 0.86. …”
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  5. 5

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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  6. 6

    Spatiotemporal dynamics of vegetation cover: integrative machine learning analysis of multispectral imagery and environmental predictors by Anees, Shoaib Ahmad, Mehmood, Kaleem, Khan, Waseem Razzaq, Shahzad, Fahad, Zhran, Mohamed, Ayub, Rashid, Alarfaj, Abdullah A., Alharbi, Sulaiman Ali, Liu, Qijing

    Published 2025
    “…In contrast, Azad Jammu and Kashmir (AJK) exhibits a more variable vegetation response, with an even higher growth rate of 0.004408 annually but a lower R² of 73.44% (p < 0.01), reflecting uneven growth across different areas. …”
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    Article
  7. 7

    A novel AI-driven EEG images emotion recognition generalized classification model for cross-subject analysis by Li, Jingjing, Lee, Ching Hung, Duan, Dingna, Zhou, Yanhong, Xie, Xueguang, Wan, Xianglong, Liu, Tiange, Li, Danyang, Yu, Hao, Hasan, W. Z.W., Song, Haiqing, Wen, Dong

    Published 2025
    “…AI algorithms can effectively perform encoding and decoding analysis on Electroencephalography (EEG) signals, which are widely used in emotion recognition due to their ability to reflect brain activity characteristics. …”
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    Article
  8. 8

    Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest by Ghulam Hussain, Muhammad Thaqif, Shafeeq Lone, Aman, Maspo, Nur-Adib, Attarbashi, Zainab

    Published 2026
    “…and an accuracy of 6.09%, reflecting the difficulty of modelling complex and highly variable network traffic patterns. …”
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  9. 9

    Development and characterization of parenteral nano-delivery system loaded with azithromycin by Daood, Ghaidaa S

    Published 2016
    “…In order to achieve the optimum topologies, ANN was trained by Incremental Back-Propagation (IBP), Batch Back-Propagation (BBP), Quick Propagation (QP), and Levenberg- Marquardt (LM) algorithms for testing data set. The topologies were confirmed by the indicator of minimized root mean squared error (RMSE) for each. …”
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  10. 10

    Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm by Ahmadi, Seyedeh Parisa

    Published 2018
    “…Afterwards spectral reflectance readings data were acquired using a GER 1500 spectroradiometer from 1016 spectral signatures of foliar samples in four disease levels (T1 to T4) and 2 fronds (9, 17). …”
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