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1941
Flow chart of Fuzzy Logic based control system.
Published 2025“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
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1942
Block diagram for IoT-based irrigation system.
Published 2025“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
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1943
Flow chart of Average Value-based control system.
Published 2025“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
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1944
Hardware design for IoT-based irrigation system.
Published 2025“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
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1945
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1946
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1947
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1948
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1949
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1950
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1951
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1952
Study sample.
Published 2025“…One increased National Institute of Health Stroke Scale (NIHSS) score decreased adjusted BI scores by 3.6.</p><p>Conclusion</p><p>The time after discharge, gender, stroke subtype, and stroke severity are significant factors affecting functional outcomes after a stroke. …”
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1953
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1954
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1955
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1956
Gas-Phase Molecular Structure of 1‑Chlorosilatrane: Electron Diffraction Study and Assignment of Photoelectron Spectrum
Published 2025“…This result shows that the Si←N bond length in 1-halosilatranes decreases when the halogen is replaced by an atom that forms a weaker bond with Si, rather than by a more electronegative atom. …”
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1957
Gas-Phase Molecular Structure of 1‑Chlorosilatrane: Electron Diffraction Study and Assignment of Photoelectron Spectrum
Published 2025“…This result shows that the Si←N bond length in 1-halosilatranes decreases when the halogen is replaced by an atom that forms a weaker bond with Si, rather than by a more electronegative atom. …”
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1958
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1959
Loss of MALS-1 function suppresses the mitochondrial and axon degeneration phenotypes that are caused by loss of RBM-26 function.
Published 2024“…Data are expressed as mean ± SEM from 3 biological replicates. Asterisks indicate statistically significant difference relative to wild type, Student’s <i>t</i> test (*<i>p</i> < 0.05). …”
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1960
Overexpression of MALS-1 reduces mitochondria in the PLM axon and causes axon degeneration and axon overlap defects.
Published 2024“…For panels D and E, error bars represent the standard error of the proportion. Statistical significance in panel F was analyzed by Student’s <i>t</i> test, ***<i>p</i> < 0.0001 and error bars represent the standard error of mean. …”