Search alternatives:
collection algorithm » correction algorithm (Expand Search), detection algorithm (Expand Search), conventional algorithm (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search), prediction algorithms (Expand Search)
collection algorithm » correction algorithm (Expand Search), detection algorithm (Expand Search), conventional algorithm (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search), prediction algorithms (Expand Search)
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Algorithm comparison.
Published 2025“…In addressing the issue of scheduling multiple machines across multiple fields, a two-stage optimization method, referred to as the BNSGA-III algorithm, is introduced. …”
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NSGA-III algorithm flow chart.
Published 2025“…In addressing the issue of scheduling multiple machines across multiple fields, a two-stage optimization method, referred to as the BNSGA-III algorithm, is introduced. …”
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Beluga Whale Optimization algorithm flow chart.
Published 2025“…In addressing the issue of scheduling multiple machines across multiple fields, a two-stage optimization method, referred to as the BNSGA-III algorithm, is introduced. …”
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Number of images collected for WLI/NBI data.
Published 2025“…We used white light and narrowband imaging data collected from Gachon University Gil Hospital, and applied YOLOv5 and RetinaNet detection models to detect lesions. …”
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IRBMO vs. feature selection algorithm boxplot.
Published 2025“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”
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The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”
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Monthly averages of ED2 model simulations initialised with airborne lidar structure, Jan 1981-Dec 2018, Brazilian Amazon
Published 2025“…Sub-grid information include data aggregated by plant functional type, by plant size, by disturbance history, and by edaphic characteristics (soil texture or soil depth).…”
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Confusion matrix for the procedure to infer selection mode applied to data-matched simulations.
Published 2025Subjects: