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Showing 1 - 20 results of 54 for search '(( algorithm could function ) OR ( algorithm pca function ))~', query time: 0.44s Refine Results
  1. 1
    PCA visualization of LSTM hidden layer activity of an example 7-hidden-unit network (#7).

    PCA visualization of LSTM hidden layer activity of an example 7-hidden-unit network (#7). by Quan Wan (1329666)

    Published 2022
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  2. 2
    Iteration versus fitness function.

    Iteration versus fitness function. by B. Venkatesh (17202747)

    Published 2024
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  3. 3
    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flexible NH<sub>3</sub> Sensor Assisted by Pattern Recognition

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... by Xin Zhao (71840)

    Published 2025
    “…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …”
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  4. 4
    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flexible NH<sub>3</sub> Sensor Assisted by Pattern Recognition

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... by Xin Zhao (71840)

    Published 2025
    “…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …”
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  5. 5
    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flexible NH<sub>3</sub> Sensor Assisted by Pattern Recognition

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... by Xin Zhao (71840)

    Published 2025
    “…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …”
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  6. 6
    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flexible NH<sub>3</sub> Sensor Assisted by Pattern Recognition

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... by Xin Zhao (71840)

    Published 2025
    “…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …”
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  7. 7
    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flexible NH<sub>3</sub> Sensor Assisted by Pattern Recognition

    Noninvasive Diagnosis of Early-Stage Chronic Kidney Disease and Monitoring of the Hemodialysis Process in Clinical Practice via Exhaled Breath Analysis Using an Ultrasensitive Flex... by Xin Zhao (71840)

    Published 2025
    “…With the assistance of a pattern recognition algorithm , the early diagnosis of CKD was achieved by the sensor, with PCA being used due to sensor’s cross-sensitivity to CKD biomarkers. …”
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  8. 8
    Image3_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF

    Image3_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF by Jian-Kun Song (11711756)

    Published 2022
    “…A principal component analysis (PCA) was conducted to determine whether PRGs could be used to distinguish the samples. …”
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  9. 9
    Image1_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF

    Image1_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF by Jian-Kun Song (11711756)

    Published 2022
    “…A principal component analysis (PCA) was conducted to determine whether PRGs could be used to distinguish the samples. …”
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  10. 10
    Image2_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF

    Image2_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.TIFF by Jian-Kun Song (11711756)

    Published 2022
    “…A principal component analysis (PCA) was conducted to determine whether PRGs could be used to distinguish the samples. …”
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  11. 11
    DataSheet2_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.CSV

    DataSheet2_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.CSV by Jian-Kun Song (11711756)

    Published 2022
    “…A principal component analysis (PCA) was conducted to determine whether PRGs could be used to distinguish the samples. …”
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  12. 12
    DataSheet3_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.CSV

    DataSheet3_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.CSV by Jian-Kun Song (11711756)

    Published 2022
    “…A principal component analysis (PCA) was conducted to determine whether PRGs could be used to distinguish the samples. …”
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  13. 13
    DataSheet1_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.pdf

    DataSheet1_Classification and biomarker gene selection of pyroptosis-related gene expression in psoriasis using a random forest algorithm.pdf by Jian-Kun Song (11711756)

    Published 2022
    “…A principal component analysis (PCA) was conducted to determine whether PRGs could be used to distinguish the samples. …”
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  14. 14
    Data_Sheet_1_Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals.docx

    Data_Sheet_1_Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals.docx by Ali Yousefian (14555054)

    Published 2023
    “…The best approach was Graph2Img, in which after extracting the feature vectors representative of the brain nodes, the PCA algorithm is applied to the matrix of feature vectors. …”
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  15. 15
    Table_1_Illustrating the biological functions and diagnostic value of transmembrane protein family members in glioma.xlsx

    Table_1_Illustrating the biological functions and diagnostic value of transmembrane protein family members in glioma.xlsx by Ying Zhang (40767)

    Published 2023
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  16. 16
    Image_6_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg

    Image_6_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

    Published 2020
    “…</p>Conclusion<p>CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.…”
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  17. 17
    Image_2_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg

    Image_2_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

    Published 2020
    “…</p>Conclusion<p>CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.…”
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  18. 18
    Image_8_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg

    Image_8_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

    Published 2020
    “…</p>Conclusion<p>CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.…”
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  19. 19
    Image_4_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg

    Image_4_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

    Published 2020
    “…</p>Conclusion<p>CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.…”
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  20. 20
    Image_9_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg

    Image_9_Prognostic Value of Genes and Immune Infiltration in Prostate Tumor Microenvironment.jpg by Wenguo Sun (9302267)

    Published 2020
    “…</p>Conclusion<p>CXCR4 and GPR183 participate in immune cell infiltration and function in PCa patients. The immune score, as well as the expression of CXCR4 and GPR183 in prostate cancer tissues, could be potential indexes for the prognosis of prostate cancer.…”
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