Showing 601 - 620 results of 2,767 for search '(( significant decrease decrease ) OR ( significant ((a decrease) OR (mean decrease)) ))~', query time: 0.38s Refine Results
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    Mean parameter values for the selected crops. by Gourab Saha (8987405)

    Published 2025
    “…<div><p>As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. Recently, there have been many studies done in this field, but very few discuss implementing smart technologies to present a combined sustainable farming system. …”
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    Summary statistics of key variables. by Saul Estrin (8629173)

    Published 2024
    “…Our results suggest the importance of addressing urban agglomeration costs as a means to facilitate innovative activity.</p></div>…”
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    Top view of the experimental setup. by Muhammad Hammad Bucha (21736111)

    Published 2025
    “…<div><p>Due to dwindling energy reserves and the cost-effectiveness of installation, the global trajectory is shifting towards renewable energy sources as a proficient means of energy acquisition. Among these sources, hydropower stands out as it harnesses the kinetic energy of oceanic water flow to generate power. …”
  9. 609

    Parameters of energy harvesting. by Muhammad Hammad Bucha (21736111)

    Published 2025
    “…<div><p>Due to dwindling energy reserves and the cost-effectiveness of installation, the global trajectory is shifting towards renewable energy sources as a proficient means of energy acquisition. Among these sources, hydropower stands out as it harnesses the kinetic energy of oceanic water flow to generate power. …”
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    Graph for Max Amplitude/Length at G<sub>y</sub> = 0. by Muhammad Hammad Bucha (21736111)

    Published 2025
    “…<div><p>Due to dwindling energy reserves and the cost-effectiveness of installation, the global trajectory is shifting towards renewable energy sources as a proficient means of energy acquisition. Among these sources, hydropower stands out as it harnesses the kinetic energy of oceanic water flow to generate power. …”
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    Graph for maximum Frequency at G<sub>y</sub> = 0. by Muhammad Hammad Bucha (21736111)

    Published 2025
    “…<div><p>Due to dwindling energy reserves and the cost-effectiveness of installation, the global trajectory is shifting towards renewable energy sources as a proficient means of energy acquisition. Among these sources, hydropower stands out as it harnesses the kinetic energy of oceanic water flow to generate power. …”
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    Graph for maximum Power at G<sub>y</sub> = 0. by Muhammad Hammad Bucha (21736111)

    Published 2025
    “…<div><p>Due to dwindling energy reserves and the cost-effectiveness of installation, the global trajectory is shifting towards renewable energy sources as a proficient means of energy acquisition. Among these sources, hydropower stands out as it harnesses the kinetic energy of oceanic water flow to generate power. …”
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    Summary of experimentation results. by Muhammad Hammad Bucha (21736111)

    Published 2025
    “…<div><p>Due to dwindling energy reserves and the cost-effectiveness of installation, the global trajectory is shifting towards renewable energy sources as a proficient means of energy acquisition. Among these sources, hydropower stands out as it harnesses the kinetic energy of oceanic water flow to generate power. …”
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    Piezoelectric eel. by Muhammad Hammad Bucha (21736111)

    Published 2025
    “…<div><p>Due to dwindling energy reserves and the cost-effectiveness of installation, the global trajectory is shifting towards renewable energy sources as a proficient means of energy acquisition. Among these sources, hydropower stands out as it harnesses the kinetic energy of oceanic water flow to generate power. …”
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    Assessment values of machine learning models. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
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    List of datasets in AqSolDB. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”