Search alternatives:
bayesian optimization » based optimization (Expand Search)
segment optimization » descent optimization (Expand Search), treatment optimization (Expand Search), subsequent optimization (Expand Search)
based segment » based sentiment (Expand Search), based assessment (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
bayesian optimization » based optimization (Expand Search)
segment optimization » descent optimization (Expand Search), treatment optimization (Expand Search), subsequent optimization (Expand Search)
based segment » based sentiment (Expand Search), based assessment (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
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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Bayesian sequential design for sensitivity experiments with hybrid responses
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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A new fast filtering algorithm for a 3D point cloud based on RGB-D information
Published 2019“…This method aligns the color image to the depth image, and the color mapping image is converted to an HSV image. Then, the optimal segmentation threshold of the V image that is calculated by using the Otsu algorithm is applied to segment the color mapping image into a binary image, which is used to extract the valid point cloud from the original point cloud with outliers. …”
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30-Meter Resolution Dataset of Abandoned and Reclaimed Croplands in Inner Mongolia, China (2000-2022)
Published 2024“…This method enables precise classification of cultivation status and adopts a binary classification strategy with adaptive optimization, improving the efficiency of sample generation for the Random Forest algorithm. …”