بدائل البحث:
decrease » increase (توسيع البحث)
يعرض 1 - 20 نتائج من 822 نتيجة بحث عن '(( significant detection model ) OR ( significant ((mean decrease) OR (a decrease)) ))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 1

    Detection of statistically significant network changes in complex biological networks حسب Raghvendra Mall (581171)

    منشور في 2017
    "…</p><h3>Conclusions</h3><p dir="ltr">We show that our network differencing procedure can effectively and efficiently detect statistical significant network re-wirings in different conditions. …"
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    A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity حسب Wesam S. Ahmed (10170053)

    منشور في 2024
    "…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …"
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    Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

    منشور في 2023
    "…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …"
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    Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

    منشور في 2023
    "…The proposed hybrid model improves the accuracy of all the studied datasets and can be integrated into different social media sites to automatically detect cyberbullying from Arabic social datasets. …"
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    Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection حسب Shakeel Ahmad (702854)

    منشور في 2024
    "…These attacks can be detected using both traditional and modern AI-based models. …"
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    Dynamic model scaling based on segmented tumor size for breast cancer detection حسب Younes Akbari (16303286)

    منشور في 2025
    "…The segmentation model, trained on a specialized dataset of breast cancer regions, identifies tumor regions in testing images from breast cancer detection datasets. …"
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    The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... حسب Wesal Habbab (17346961)

    منشور في 2019
    "…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …"
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    How effective are synthetic attack models to detect real-world energy theft? حسب Emran Altamimi (21397883)

    منشور في 2025
    "…However, available datasets lack annotated real anomalies, which poses significant challenges in developing effective detection systems. …"
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    Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization حسب Rusab Sarmun (17632269)

    منشور في 2024
    "…Our method utilizes innovative model ensemble techniques—non-maximum suppression (NMS), Soft-NMS, and weighted bounding box fusion (WBF)—to combine predictions from state-of-the-art object detection models. …"
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    Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model حسب Ahmad N. Alkuwari (22392226)

    منشور في 2025
    "…The evaluated machine learning models include traditional shallow detectors, deep learning-based detectors, and hybrid models that employ both horizontal and vertical detection strategies. …"
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    A machine learning model for early detection of diabetic foot using thermogram images حسب Amith Khandakar (14151981)

    منشور في 2021
    "…Several studies have reported that thermogram images may help to detect an increase in plantar temperature prior to DFU. …"
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    Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques حسب Umesh Kumar Lilhore (17727684)

    منشور في 2022
    "…This research work analyses cervical cancer and various risk factors to help detect cervical cancer. The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …"
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    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …"
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    Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset حسب Muhammad Usama Tanveer (22225360)

    منشور في 2024
    "…Ensemble learning by combining multiple machine learning models offers a significant advantage in reducing computational costs compared to deep learning models, making it a practical solution for real-time applications. …"