Výsledky vyhľadávania - "Stacking ensemble learning algorithm"

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    Stacking ensemble learning algorithm based rapid inverse modelling of copper grade using imaging spectral data Autor Wang, Jingli, Gao, Jingxiang

    ISSN: 0169-7439
    Vydavateľské údaje: Elsevier B.V 15.02.2025
    “…The determination of copper ore grade in a reasonably fast and accurate manner is of great practical significance for the purposes of ore dressing and ore…”
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    Landslide spatial prediction based on cascade forest and stacking ensemble learning algorithm Autor Chen, Sijing, Pan, Yutong, Lu, Chengda, Wang, Yawu, Wu, Min, Pedrycz, Witold

    ISSN: 0020-7721, 1464-5319
    Vydavateľské údaje: London Taylor & Francis 17.02.2025
    “…) and Stacking ensemble learning algorithm. Firstly, the landslide spatial prediction scheme is designed…”
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    Financial Fraud Identification Based on Stacking Ensemble Learning Algorithm: Introducing MD&A Text Information Autor Zhang, Zhiheng, Ma, Yong, Hua, Yongjun

    ISSN: 1687-5265, 1687-5273, 1687-5273
    Vydavateľské údaje: New York Hindawi 20.09.2022
    “… In this study, a financial fraud identification model is constructed based on the stacking ensemble learning algorithm, and the text of the management discussion and analysis (MD&A…”
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    Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm Autor Yao, Hang, Fu, Bolin, Zhang, Ya, Li, Sunzhe, Xie, Shuyu, Qin, Jiaoling, Fan, Donglin, Gao, Ertao

    ISSN: 2072-4292, 2072-4292
    Vydavateľské údaje: Basel MDPI AG 01.11.2022
    Vydané v Remote sensing (Basel, Switzerland) (01.11.2022)
    “…Combinations of multi-sensor remote sensing images and machine learning have attracted much attention in recent years due to the spectral similarity of wetland…”
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    The Short‐Time Prediction of the Energetic Electron Flux in the Planetary Radiation Belt Based on Stacking EnsembleLearning Algorithm Autor Tang, Rongxin, Tao, Yuhao, Li, Jiahao, Chen, Zhou, Deng, Xiaohua, Li, Haimeng

    ISSN: 1542-7390, 1539-4964, 1542-7390
    Vydavateľské údaje: Washington John Wiley & Sons, Inc 01.02.2022
    Vydané v Space Weather (01.02.2022)
    “…High energy electrons in planetary radiation belts are a major threat to satellites and communications in deep space applications. In order to predict the…”
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    Short-Term Wind Power Prediction Based on a Modified Stacking Ensemble Learning Algorithm Autor Yang, Yankun, Li, Yuling, Cheng, Lin, Yang, Shiyou

    ISSN: 2071-1050, 2071-1050
    Vydavateľské údaje: Basel MDPI AG 01.07.2024
    Vydané v Sustainability (01.07.2024)
    “…A high proportion of new energy has become a prominent feature of modern power systems. Due to the intermittency, volatility, and strong randomness in wind…”
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    A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm Autor Haddadi, Amir Mohammad, Hamidi, Hodjat

    ISSN: 2451-9588, 2451-9588
    Vydavateľské údaje: Elsevier Ltd 01.05.2025
    Vydané v Computers in human behavior reports (01.05.2025)
    “…A significant challenge that analysts and marketing managers often face is predicting future customer buying behavior. Identifying customers who are likely to…”
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    Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm Autor Yan, Hainan, Ji, Guohua, Cao, Shuqi, Zhang, Baihui

    ISSN: 1996-3599, 1996-8744
    Vydavateľské údaje: Beijing Tsinghua University Press 01.11.2024
    Vydané v Building simulation (01.11.2024)
    “… This study develops an integrated prediction model using a stacking ensemble learning algorithm to predict daylighting, thermal comfort, and energy consumption in residential buildings…”
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    Research on Numerical Weather Prediction Wind Speed Correction Based on Stacking Ensemble Learning Algorithm Autor Guo, Jiashuo, Ren, Ge, Liu, Xiangyu, Wang, Xiaoning, Lin, Hong

    ISSN: 2267-1242, 2555-0403, 2267-1242
    Vydavateľské údaje: Les Ulis EDP Sciences 01.01.2024
    Vydané v E3S web of conferences (01.01.2024)
    “…The transportation of wind fields plays a crucial role in the dispersion and distribution of air pollutants, and accurate wind speed prediction is essential…”
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    Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images Autor Fu, Bolin, He, Xu, Yao, Hang, Liang, Yiyin, Deng, Tengfang, He, Hongchang, Fan, Donglin, Lan, Guiwen, He, Wen

    ISSN: 1569-8432, 1872-826X
    Vydavateľské údaje: Elsevier B.V 01.08.2022
    “…•Classification of mangrove species using the UAV multispectral image and DSM.•RFE-based variable selection improves classification performance of DL…”
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    A Remote Sensing Detection Method for Ceracris Kiangsu Tsai in Moso Bamboo Forests Integrating SMOTE Algorithm and Multi-Model Ensemble Autor Qin, Na, Xu, Zhanghua, Yu, Wensen, Xu, Shancai, Cheng, Rengui, Cao, Yongwei, Yu, Xier, Liu, Weili, Guo, Xiaoyu, Guan, Fengying

    ISSN: 1939-1404, 2151-1535
    Vydavateľské údaje: Piscataway IEEE 2025
    “…Ceracris kiangsu Tsai ( C.kiangsu ) is one of the main leaf-feeding pests in Moso bamboo forests. An in-depth exploration of its response mechanism is crucial…”
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    Effects of Multi-Growth Periods UAV Images on Classifying Karst Wetland Vegetation Communities Using Object-Based Optimization Stacking Algorithm Autor Zhang, Ya, Fu, Bolin, Sun, Xidong, Yao, Hang, Zhang, Shurong, Wu, Yan, Kuang, Hongyuan, Deng, Tengfang

    ISSN: 2072-4292, 2072-4292
    Vydavateľské údaje: Basel MDPI AG 01.08.2023
    Vydané v Remote sensing (Basel, Switzerland) (01.08.2023)
    “…Combining machine learning algorithms with multi-temporal remote sensing data for fine classification of wetland vegetation has received wide attention from…”
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    Electrical Load Forecasting Based on Multi-model Combination by Stacking Ensemble Learning Algorithm Autor Jiang, Jianfeng, Zhu, Wenjun, Zhang, Chong, Xingang, Wang

    Vydavateľské údaje: IEEE 28.06.2021
    “…Load forecasting is helpful to achieve the goals of emission reduction and the balance of power generation and consumption. In this paper, a load forecasting…”
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    MMSE: A Multi-Model Stacking Ensemble Learning Algorithm for Purchase Prediction Autor Zhou, Aolong, Ren, Kaijun, Li, Xiaoyong, Zhang, Wen

    Vydavateľské údaje: IEEE 01.05.2019
    “…Analyzing users' consumption habits and preferences with big data technology, merchants can collect valuable data about users' consumption habits which is…”
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    Short term water level prediction based on C-Stacking ensemble model Autor Zhang, Yu, Liang, Xuechun, Lu, Xuebin

    Vydavateľské údaje: IEEE 06.11.2021
    “…This paper proposes a C-Stacking ensemble model for short-term prediction of water level time series. First, the method of complete empirical mode…”
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    Darknet traffic analysis, and classification system based on modified stacking ensemble learning algorithms Autor Almomani, Ammar

    ISSN: 1617-9846, 1617-9854
    Vydavateľské údaje: Heidelberg Springer Nature B.V 01.03.2025
    “…Darknet, a source of cyber intelligence, refers to the internet’s unused address space, which people do not expect to interact with their computers. The…”
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    Darknet traffic analysis, and classification system based on modified stacking ensemble learning algorithms: Darknet traffic analysis, and classification system Autor Almomani, Ammar

    ISSN: 1617-9846, 1617-9854
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2025
    “…Darknet, a source of cyber intelligence, refers to the internet’s unused address space, which people do not expect to interact with their computers. The…”
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    FusionCLM: enhanced molecular property prediction via knowledge fusion of chemical language models Autor Lu, Yutong, Li, Yan Yi, Sun, Yan, Hu, Pingzhao

    ISSN: 1758-2946, 1758-2946
    Vydavateľské údaje: Cham Springer International Publishing 29.08.2025
    Vydané v Journal of cheminformatics (29.08.2025)
    “… To harness the uniqueness of different CLMs, we propose FusionCLM, a novel stacking-ensemble learning algorithm that integrate the outputs of multiple CLMs into a unified framework…”
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    The analysis of fraud detection in financial market under machine learning Autor Jin, Jing, Zhang, Yongqing

    ISSN: 2045-2322, 2045-2322
    Vydavateľské údaje: London Nature Publishing Group UK 15.08.2025
    Vydané v Scientific reports (15.08.2025)
    “… adaptability and high false alarm rate. Therefore, this paper proposes a financial fraud detection model based on Stacking ensemble learning algorithm, which integrates…”
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