Showing 1 - 8 results of 8 for search '(( 5 a decrease ) OR ((((( _ best decrease ) OR ( _ data decrease ))) OR ( a a decrease ))))~', query time: 0.10s Refine Results
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    A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact by Samer Gowid (15955152)

    Published 2020
    “…Nonetheless, the consideration of irradiance, electrical, thermal, and weather parameters (scenario IV) yielded higher identification accuracy. The results showed a decrease in the MSE of V<sub>mp</sub> by 74.3% (from 1.6 V to 0.411 V), and in the MSE of I<sub>mp</sub> by 95% (from 4.4e−6 A to 2.16e−7 A), respectively. …”
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    Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

    Published 2020
    “…</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en13205429" target="_blank">https://dx.doi.org/10.3390/en13205429</a></p>…”
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    Two-stage optimisation for malachite green removal using activated date pits by M. Hijab (14152095)

    Published 2022
    “…<p>Water pollution, from industry and agriculture, is a major threat to water security in the light of decreasing global potable water resources. …”
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    Applying value-based strategies to accelerate access to novel cancer medications: guidance from the Oncology Health Economics Expert Panel in Qatar (Q-OHEP) by Anas Hamad (9545771)

    Published 2023
    “…</p><h2>Other Information</h2><p dir="ltr">Published in: BMC Health Services Research<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s12913-022-08981-5" target="_blank">https://dx.doi.org/10.1186/s12913-022-08981-5</a></p>…”
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    The immune landscape of solid pediatric tumors by Shimaa Sherif (12862990)

    Published 2022
    “…</p><h3>Methods</h3><p dir="ltr">We performed a systematic analysis of public RNAseq data (TARGET) for five pediatric tumor types (408 patients): Wilms tumor (WLM), neuroblastoma (NBL), osteosarcoma (OS), clear cell sarcoma of the kidney (CCSK) and rhabdoid tumor of the kidney (RT). …”