يعرض 201 - 220 نتائج من 1,493 نتيجة بحث عن '(( significant one based ) OR ( significant ((we decrease) OR (nn decrease)) ))', وقت الاستعلام: 0.18s تنقيح النتائج
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    Facile Ultrasound-Triggered Release of Calcein and Doxorubicin from Iron-Based Metal-Organic Frameworks حسب Ibrahim, Mihad

    منشور في 2020
    "…In this work, newly developed iron-based MOFs, namely Fe-NDC nanorods, were investigated as potential nanocarriers for calcein (as a model drug/dye) and Doxorubicin (a chemotherapeutic drug (DOX)). …"
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  4. 204

    Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem حسب Nezir Aydin (8355378)

    منشور في 2024
    "…We present the effectiveness of the developed integrated approaches, Sampling Based Progressive Hedging Algorithm (SBPHA) and Discarding SBPHA (d-SBPHA), over the pure strategies (i.e. …"
  5. 205

    On Equivalent Circuit Model-Based State-of-Charge Estimation for Lithium-Ion Batteries in Electric Vehicles حسب Fatma Ahmed (11084787)

    منشور في 2025
    "…A hybrid approach based on UKF and EKF is presented. The results demonstrate that the UKF outperforms the EKF in SoC estimation, with the root mean squared error (RMSE) and maximum error for SoC estimation being 1.06% and 1.15%, respectively. …"
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    The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer حسب Saidul, Kabir

    منشور في 2023
    "…The random forest classifier achieved an accuracy of 88% on four score classification (0, 1+, 2 + and 3 + ) and 96% on three score classification (0/1+, 2 + and 3 + ). …"
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    The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer حسب Saidul Kabir (15302407)

    منشور في 2024
    "…The random forest classifier achieved an accuracy of 88% on four score classification (0, 1+, 2 + and 3 + ) and 96% on three score classification (0/1+, 2 + and 3 + ). …"
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    The impact of a universal social emotional intervention on students’ mental wellbeing in a secondary public school in Qatar حسب Noor Al-Wattary (11303201)

    منشور في 2023
    "…<p dir="ltr">This paper is based on a study that explored the impact of a practitioner-designed social emotional program on students’ wellbeing based on the results of the WEMWBS scale in a public secondary school in Qatar. …"
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    Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches حسب Doaa Farid (22565300)

    منشور في 2025
    "…Targeted metabolites were selected based on correlation strength with diabetes status. …"
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    GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review حسب Md. Sulyman Islam Sifat (22928983)

    منشور في 2025
    "…In this work, we conduct a literature review to systematically examine GAN-based data augmentation techniques for fault diagnosis and prognosis of rolling bearings. …"
  18. 218

    Nanoparticle enrichment mass-spectrometry proteomics identifies protein-altering variants for precise pQTL mapping حسب Karsten Suhre (67967)

    منشور في 2024
    "…Here we report a pQTL study using the Proteograph™ Product Suite workflow (<i>Seer, Inc.</i>) where we quantify over 18,000 unique peptides from nearly 3000 proteins in more than 320 blood samples from a multi-ethnic cohort in a bottom-up, peptide-centric, mass spectrometry-based proteomics approach. …"
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    Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems حسب Khaled Dhibi (16891524)

    منشور في 2022
    "…<p>Wind energy (WE) is one of the most important technology to produce energy and an efficient source of renewable energy (RE) available in the atmospheric environment due to different air-currents spread over the stratosphere and troposphere. …"
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    An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

    منشور في 2022
    "…The main idea behind the use of the PSO algorithm is to remove irrelevant features and extract only the most significant ones from raw data in order to improve the classification task using a neural networks classifier. …"