Results 1 to 10 of about 185,427 (266)
Prediction Method for Ocean Wave Height Based on Stacking Ensemble Learning Model
Journal of Marine Science and Engineering, 2022 Wave heights are important factors affecting the safety of maritime navigation. This study proposed a stacking ensemble learning method to improve the prediction accuracy of wave heights. We analyzed the correlation between wave heights and other oceanic
Yu Zhan +3 more
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Stack sorting with restricted stacks [PDF]
Journal of Combinatorial Theory, Series A, 2020 The (classical) problem of characterizing and enumerating permutations that can be sorted using two stacks connected in series is still largely open. In the present paper we address a related problem, in which we impose restrictions both on the procedure and on the stacks.
Giulio Cerbai +2 more
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Frontiers in Plant Science, 2023 Rice leaf diseases are important causes of poor rice yields, and accurately identifying diseases and taking corresponding measures are important ways to improve yields. However, rice leaf diseases are diverse and varied; to address the low efficiency and
Le Yang +6 more
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Stack Sorting with Increasing and Decreasing Stacks [PDF]
The Electronic Journal of Combinatorics, 2020 We introduce a sorting machine consisting of $k+1$ stacks in series: the first $k$ stacks can only contain elements in decreasing order from top to bottom, while the last one has the opposite restriction. This device generalizes the $\mathfrak{DI}$ machine introduced by Rebecca Smith, which studies the case $k=1$.
Cerbai, G, Cioni, L, Ferrari, L
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A stack and a pop stack in series [PDF]
Australas. J Comb., 2013 We study sorting machines consisting of a stack and a pop stack in series, with or without a queue between them. While there are, a priori, four such machines, only two are essentially different: a pop stack followed directly by a stack, and a pop stack followed by a queue and then by a stack.
Rebecca Smith 0001, Vincent Vatter
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Remote Sensing, 2021 Explicit spatial information about crop types on smallholder farms is important for the development of local precision agriculture. However, due to highly fragmented and heterogeneous cropland landscapes, fine-scale mapping of smallholder crops, based on
Peng Zhang +4 more
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Prediction of maximum scour depth in river bends by the Stacking model
Journal of Hydroinformatics, 2023 The accurate prediction of maximum erosion depth in riverbeds is crucial for early protection of bank slopes. In this study, K-means clustering analysis was used for outlier identification and feature selection, resulting in Plan 1 with six influential ...
Junfeng Chen +3 more
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Two-stack-sorting with pop stacks [PDF]
Australas. J Comb., 2018 We consider the set of permutations that are sorted after two passes through a pop stack. We characterize these permutations in terms of forbidden patterns (classical and barred) and enumerate them according to the ascent statistic. Then we show these permutations to be in bijection with a special family of polyominoes.
Lara Pudwell, Rebecca Smith 0001
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Cloud-Based Quad Deep Ensemble Framework for the Detection of COVID-19 Omicron and Delta Variants
Diagnostics, 2023 The mortality rates of patients contracting the Omicron and Delta variants of COVID-19 are very high, and COVID-19 is the worst variant of COVID. Hence, our objective is to detect COVID-19 Omicron and Delta variants from lung CT-scan images.
Ravi Shekhar Tiwari +5 more
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Bioengineering, 2022 Automated segmentation of tuberculosis (TB)-consistent lesions in chest X-rays (CXRs) using deep learning (DL) methods can help reduce radiologist effort, supplement clinical decision-making, and potentially result in improved patient treatment.
Sivaramakrishnan Rajaraman +4 more
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