Showing 1 - 20 results of 106 for search '(( binary a bayesian optimization algorithm ) OR ( primary data object detection algorithm ))', query time: 0.51s Refine Results
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    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

    Published 2025
    “…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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    Development and testing of an ARSD algorithm: Read, Understand, Learn, & Excel (Kucheria et al., 2019) by Priya Kucheria (5647163)

    Published 2019
    “…Currently, no tools exist to detect a reader’s use of strategies. The primary aim of this study was to develop Read, Understand, Learn, & Excel, an automated tool designed to detect reading strategy use and explore its accuracy in detecting strategies when students read digital, expository text.…”
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    FBD-SV-2024 by Zi-Wei Sun (19992142)

    Published 2024
    “…<p dir="ltr">The Flying Bird object Dataset in Surveillance Video (FBD-SV-2024) for surveillance video flying bird object detection algorithm development and performance evaluation.…”
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    DataSheet1_A novel dataset and deep learning object detection benchmark for grapevine pest surveillance.pdf by Giorgio Checola (20418239)

    Published 2024
    “…Assisted by entomologists, we performed the annotation process, trained, and compared the performance of two state-of-the-art object detection algorithms: YOLOv8 and Faster R-CNN. …”
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    Bayesian sequential design for sensitivity experiments with hybrid responses by Yuxia Liu (1779592)

    Published 2023
    “…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”
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    Supplementary Material for: The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis by He C. (2839727)

    Published 2019
    “…<b><i>Objective:</i></b> To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. …”
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    Summary of results of naïve Bayes algorithms. by Christopher E. Niemczak (8586861)

    Published 2024
    “…Algorithms trained without auditory variables as features were statistically worse (p < .001) in both the primary measure of area under the curve (0.82/0.78) and the secondary measure of accuracy (72.3%/74.5%) for the Gaussian and kernel algorithms respectively.…”
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