Showing 1,921 - 1,940 results of 7,626 for search 'significantly ((((less decrease) OR (greater decrease))) OR (((we decrease) OR (nn decrease))))', query time: 0.43s Refine Results
  1. 1921

    Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  2. 1922

    Network architectures for multi-agents task. by Hongjie Zhang (136127)

    Published 2025
    “…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
  3. 1923

    Primers for RT-qPCR. by Jiaoyang Li (2862269)

    Published 2024
    “…To elucidate the function of NSP2 during PRRSV infection, we identified SH3KBP1 as an NSP2-interacting host protein using mass spectrometry. …”
  4. 1924

    LC_MS/MS analysis for OGG1 interactomes. by Lang Pan (5145221)

    Published 2024
    “…Importantly, inhibiting OGG1’s ability to recognize 8-oxoGua significantly decreases RSV progeny production. Our results underscore the viral replication machinery’s adaptation to oxidative challenges, suggesting that inhibiting OGG1’s reading function could be a novel strategy for antiviral intervention.…”
  5. 1925

    Primer sequences for RT q-PCR. by Lang Pan (5145221)

    Published 2024
    “…Importantly, inhibiting OGG1’s ability to recognize 8-oxoGua significantly decreases RSV progeny production. Our results underscore the viral replication machinery’s adaptation to oxidative challenges, suggesting that inhibiting OGG1’s reading function could be a novel strategy for antiviral intervention.…”
  6. 1926

    Oligo sequences for EMSA and excision assay. by Lang Pan (5145221)

    Published 2024
    “…Importantly, inhibiting OGG1’s ability to recognize 8-oxoGua significantly decreases RSV progeny production. Our results underscore the viral replication machinery’s adaptation to oxidative challenges, suggesting that inhibiting OGG1’s reading function could be a novel strategy for antiviral intervention.…”
  7. 1927
  8. 1928

    Mean parameter values for the selected crops. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  9. 1929

    Performance comparison of ML models. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  10. 1930

    Comparative data of different soil samples. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  11. 1931

    Confusion matrix of random forest model. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  12. 1932

    Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  13. 1933

    Evaluation metrics of selected ML models. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  14. 1934

    Block diagram of the proposed system. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  15. 1935

    Chart for applicable amount of fertilizers. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  16. 1936

    Cost analysis of irrigation controller unit. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  17. 1937

    Run times of two algorithms. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  18. 1938

    Some examples of selected Chinese characters. by Weijia Zhu (65481)

    Published 2025
    “…To address these challenges, we propose esFont, a novel guided Diffusion framework. …”
  19. 1939

    Flow chart of Fuzzy Logic based control system. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”
  20. 1940

    Block diagram for IoT-based irrigation system. by Gourab Saha (8987405)

    Published 2025
    “…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”