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  1. 1

    Computational generation of multiphase asphalt nanostructures using random fields by Mohammad Aljarrah (14779588)

    Published 2023
    “…The computationally generated nanostructures are then used as inputs in a finite element model to evaluate the effect of heterogeneity on their mechanical response. …”
  2. 2

    A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection by Mohd Imran (12249782)

    Published 2025
    “…The performance of the proposed technique is evaluated using FMR, FAR, GAR, ROC Curve, and EER parameters on six FVC fingerprint databases FVC2000 DB1, FVC2000 DB2, FVC2002 DB1, FVC2002 DB3, FVC2004 DB1, and FVC2004 DB3 which is publicly available.…”
  3. 3

    Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions by Durjay Saha (21633095)

    Published 2024
    “…The performance of the proposed model is evaluated using various metrics such as confusion matrix heatmap, t-SNE plot, precision-recall curve and learning curve. …”
  4. 4

    A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48 by Al-Manaseer, Hitham

    Published 2022
    “…The performance of the algorithms for accuracy was evaluated using the Healthcare (heart attack possibility) dataset, freely available on kagle. …”
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    Development of Seed Variables Prediction Models for Use in Dynamic Backcalculation of FWD Data by Nasr, Cynthia

    Published 2022
    “…This involves (1) calculating theoretical surface deflections through a finite element model that simulates different pavement structures and properties, (2) calculating FWD parameters and indices for each structure and (3) using those parameters to build Random Forest models that predict the seed variables with low OOB-error and high accuracy. …”
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    masterThesis
  8. 8

    Accurate multiple network alignment through context-sensitive random walk by Hyundoo Jeong (3840013)

    Published 2015
    “…It has been shown that network alignment methods can be used to detect pathways or network modules that are conserved across different networks. …”
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    A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari (22467148)

    Published 2025
    “…The proposed method divides multiple regions (different data lengths) into the feature space, allowing the algorithm to learn more complex decision boundaries. Using three statistical measures Lyapunov exponents (LE), Correlation Dimension (CD), and approximate entropy (AE), we evaluated the performance of machine learning algorithms over different data lengths. …”
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    Silver-based dressings for the prevention of surgical site infections: evidence from randomized trials by S. Younes (22254238)

    Published 2025
    “…</p><h3>Aim</h3><p dir="ltr">To evaluate the efficacy of silver-based dressings compared with non-silver dressings in preventing SSIs in <u>randomized controlled trials</u> (RCTs). …”
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    An enhanced ensemble deep random vector functional link network for driver fatigue recognition by Ruilin Li (5627456)

    Published 2023
    “…<p>This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. …”
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    Oxygen targets following cardiac arrest: A meta-analysis of randomized controlled trials by Huzaifa Ahmad Cheema (16328980)

    Published 2023
    “…</p> <h3>Methods</h3> <p>We searched MEDLINE, Embase, the Cochrane Library, and ClinicalTrials.gov until January 2023 to include all randomized<a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/randomized-controlled-trial" target="_blank"> </a>controlled trials (RCTs) that evaluated conservative vs. liberal oxygen therapy in OHCA patients. …”
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    Topical treatments for atopic dermatitis (eczema): Systematic review and network meta-analysis of randomized trials by Derek K., Chu

    Published 2023
    “…The Grading of Recommendations Assessment, Development and Evaluation approach informed certainty of evidence ratings. …”
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    article
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    The effect of colchicine on myocardial infarction: An updated systematic review and meta-analysis of randomized controlled trials by Ayesha, Younas

    Published 2024
    “…This meta-analysis predominantly aimed to provide an up-to-date evaluation of the efficacy and safety of colchicine in reducing adverse cardiovascular events in patients following acute MI. …”
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    article
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    The effect of colchicine on myocardial infarction: An updated systematic review and meta-analysis of randomized controlled trials by Ayesha Younas (7114868)

    Published 2025
    “…This meta-analysis predominantly aimed to provide an up-to-date evaluation of the efficacy and safety of colchicine in reducing adverse cardiovascular events in patients following acute MI.…”
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    Fuzzy Divergence Weighted Ensemble Clustering With Spectral Learning Based on Random Projections for Big Data by Ali, Tarig

    Published 2024
    “…Then it used to evaluate the weight of each cluster. Finally, we create regularized graphs from these membership matrices and use spectral matrices to estimate the affinity matrices of these graphs using fuzzy KL divergence anchor graphs. …”
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    article
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    Practical randomly selected question exam design to address replicated and sequential questions in online examinations by Ahmed M. Elkhatat (14152314)

    Published 2022
    “…In this study, a Monte Carlo approach was used to design six examination schemes for the purpose of generating and evaluating 600 RSQEs in order to investigate the effects of RSQE design on replicated inter-examination and sequential and intra-examination questions. …”