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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
methods algorithm » means algorithm (Expand Search), network algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data processing » image processing (Expand Search)
based methods » mixed methods (Expand Search)
element » elements (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
methods algorithm » means algorithm (Expand Search), network algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data processing » image processing (Expand Search)
based methods » mixed methods (Expand Search)
element » elements (Expand Search)
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Success convergence rates of the four methods.
Published 2025“…The sub-block selection algorithm sorts and filters sub-blocks based on the average pixel difference, reconstructing the input data to ensure accurate separation of melanin and hemoglobin. …”
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Data supporting figures and tables in Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning
Published 2025“…</li><li><b>Automated Wiring Design:</b> A modified A* pathfinding algorithm that generates orthogonal wiring between recognised symbols, reducing total wire length by 44% compared to traditional methods.…”
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265
Box plot of ablation experiment data.
Published 2025“…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …”
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Data Sheet 1_Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China.docx
Published 2025“…</p>Methods<p>UAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.…”
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Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods
Published 2024“…Additionally, formulae for the first through sixth-order radial derivatives are also derived by a recursive method. Numerical test in a mountain area reveals theoretical defects exist in the high-order radical derivatives based on the direct derivation method, whereas the recursive method proves to be effective and practical. …”
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Effects of processing rate and algorithms performance on estimates of biodiversity.
Published 2025Subjects: