Results 1 to 10 of about 195,724 (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, Huajun Zhang, Jianhao Li, Gen Li   +3 more
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Stacking-based and improved convolutional neural network: a new approach in rice leaf disease identification

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, Xiaoyun Yu, Shaoping Zhang, Huanhuan Zhang, Shuang Xu, Huibin Long, Yingwen Zhu   +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, Omid Mahdi Ebadati, Amir Amirzadeh Irani   +2 more
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Improving Parcel-Level Mapping of Smallholder Crops from VHSR Imagery: An Ensemble Machine-Learning-Based Framework

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, Shougeng Hu, Weidong Li, Chuanrong Zhang, Peikun Cheng   +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, Xiaoquan Zhou, Lirong Xiao, Yuhang Huang   +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, Lakshmi Dandabani, Tapan Kumar Das, Surbhi Bhatia Khan, Shakila Basheer, Mohammed S. Alqahtani   +5 more
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A Systematic Evaluation of Ensemble Learning Methods for Fine-Grained Semantic Segmentation of Tuberculosis-Consistent Lesions in Chest Radiographs

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, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani   +4 more
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Finding Location Visiting Preference from Personal Features with Ensemble Machine Learning Techniques and Hyperparameter Optimization

Applied Sciences, 2021
For the question regarding the relationship between personal factors and location selection, many researches support the effect of personal features for personal location favorite.
Young Myung Kim, Ha Yoon Song
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A Comparison Study of Roseolumiflavin Solvates: Structural and Energetic Perspective on Their Stability

Crystals, 2023
Roseolumiflavin is a deep red microcrystalline derivative of isoalloxazine that exhibits a weak photophysical activity in the solid state. In aqueous as well as in acidic solution of formic or acetic acid, respectively, it tends to form solvates. Herein,
Takin Haj Hassani Sohi, Felix Maass, Constantin Czekelius, Vera Vasylyeva   +3 more
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Dynamic Mechanical Strength Prediction of BFRC Based on Stacking Ensemble Learning and Genetic Algorithm Optimization

Buildings, 2023
Split Hopkinson pressure bar (SHPB) tests are usually used to determine the dynamic mechanical strength of basalt-fiber-reinforced concrete (BFRC), but this test method is time-consuming and expensive.
Jiayan Zheng, Minghui Wang, Tianchen Yao, Yichen Tang, Haijing Liu   +4 more
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