Showing 221 - 240 results of 5,779 for search '((((ping OR ling) OR (inche OR find)) OR (pinge OR linge)) OR ((pink OR spingn) OR (pin OR line)))', query time: 0.08s Refine Results
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    Analysis of the nuclear potential for heavy-ion systems through large-angle quasi-elastic scattering by Inche Ibrahim, Mohd Lukman, Zamrun, Muhammad, Abu Kassim, Hasan

    Published 2013
    “…The increase in the obtained diffuseness parameters as the energies are increased also seems to have a possible tendency to be a function of the charge product of the target and projectile nuclei. We find that the phenomenon of threshold anomaly might explain our findings here. …”
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    Development of accident prediction model by using artificial neural network (ANN) by Ramli, Mohd Zakwan

    Published 2011
    Subjects: “…HE5601-5725 Automotive transportation Including trucking, bus lines, and taxicab service…”
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    Thesis
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    Combined influence of carrier mobility and dielectric constant on the performance of organic bulk heterojunction solar cells by Inche Ibrahim, Mohd Lukman, Ahmad, Zubair, Sulaiman, Khaulah, Muniandy, S. V.

    Published 2014
    “…We also find that if the dielectric constant of the active material can be increased significantly (to around 8 or higher), it is then possible that the mobility of the active material need not to be improved in order to achieve the maximum efficiency. …”
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    A Data Mining-Based Model for Assessing Guangzhou's Higher Vocational Colleges 'New Energy Automobile Majors' Vocational Skills by He, Ling, Hamid, Hashima

    Published 2024
    “…In endurance validation tests, the hybrid model obtained an acceptable 88% F1 score, 90% recall, 86% precision, and 88% accuracy. The findings show the positive aspects of using modern data-driven methods to more closely match educational institutions with the constantly evolving needs of the AS. …”
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    Deep learning-based microcirculation performance classification using multispectral photoacoustic technology by Chua, Hui Ling, Huong, Audrey

    Published 2024
    “…The ultrasonic waves collected from their posterior left arm under two experimental settings, namely at rest (i.e., control) and with arterial blood flow occlusions, were used to predict the microcirculation changes in tissue using the deep networks. Our findings showed the superiority of the hybrid model over the Alexnet and LSTM, with an average testing accuracy of 95.7 % and precision of 98.2 %, making it an ideal deep learning model for the task. …”
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