Results 1 to 10 of about 673,031 (326)
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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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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Investigating Revenue Smoothing Thresholds That Affect Bank Credit Scoring Models: An Iranian Bank Case Study [PDF]
Journal of Artificial Intelligence and Data Mining, 2023 Companies have different considerations for using smoothing in their financial statements, including annual general meeting, auditing, Regulatory and Supervisory institutions and shareholders requirements.
Seyed Mahdi Sadatrasoul +2 more
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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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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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Reinterpreting π-stacking [PDF]
Physical Chemistry Chemical Physics, 2020 Examination of the question “is π-stacking a unique form of dispersion?” reveals that planarity, rather than aromaticity per se , facilitates especially strong interactions between polycyclic aromatic hydrocarbons.
Kevin Carter-Fenk, John Herbert
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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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Stack-sorting with consecutive-pattern-avoiding stacks [PDF]
Advances in Applied Mathematics, 2021 We introduce consecutive-pattern-avoiding stack-sorting maps $\text{SC}_σ$, which are natural generalizations of West's stack-sorting map $s$ and natural analogues of the classical-pattern-avoiding stack-sorting maps $s_σ$ recently introduced by Cerbai, Claesson, and Ferrari.
Defant, Colin, Zheng, Kai
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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.
Cerbai G., Claesson A., Ferrari L.
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