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Showing 1 - 20 results of 394 for search '(( significant ((changes decrease) OR (largest decrease)) ) OR ( significant detection models ))', query time: 0.14s Refine Results
  1. 1

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

    Published 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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    Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection by Shakeel Ahmad (702854)

    Published 2024
    “…These attacks can be detected using both traditional and modern AI-based models. …”
  4. 4

    How effective are synthetic attack models to detect real-world energy theft? by Emran Altamimi (21397883)

    Published 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 by Rusab Sarmun (17632269)

    Published 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. …”
  6. 6

    Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

    Published 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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  7. 7

    Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

    Published 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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    Dynamic model scaling based on segmented tumor size for breast cancer detection by Younes Akbari (16303286)

    Published 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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    Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model by Ahmad N. Alkuwari (22392226)

    Published 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. …”
  13. 13

    A machine learning model for early detection of diabetic foot using thermogram images by Amith Khandakar (14151981)

    Published 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 by Umesh Kumar Lilhore (17727684)

    Published 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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    VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models by Md. Sakib Bin Islam (22828181)

    Published 2025
    “…This improvement in spatial and channel attention significantly boosts detection performance, particularly for small and occluded drones. …”
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    Bridging Innovation and Security: Advancing Cyber-Threat Detection in Sustainable Smart Infrastructure by Duaa Shoukat (20961200)

    Published 2025
    “…In response to these challenges, this paper proposes a novel approach utilizing Deep Learning (DL) models for multi-class threat detection in SI environments. …”
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    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

    Published 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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    Board changes and CEO turnover by Dah, Mustafa A.

    Published 2014
    “…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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    Early gas kick detection in vertical wells via transient multiphase flow modelling: A review by Ahmad K. Sleiti (14778229)

    Published 2020
    “…A kick perturbs the system; analysis of the resulting transient flow could lead to significant improvement in timely detection of a kick. …”
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    Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram (22224541)

    Published 2024
    “…This cancer is often detected through imaging techniques and poses significant challenges due to its potential to metastasize and vary in treatment response. …”