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    TRUCK CRANE HOIST BOOM BUCKLING RELIABILITY ANALYSIS BASED ON PROBABILISTIC AND NON-PROBABILISTIC HYBRID MODEL AND BAYESIAN NETWORK by QU FuZheng, SUN Qi, XIE ZhengYi

    Published 2015-01-01
    “…The accidents of truck crane happen frequently during working because of the structure failure of hoist boom,which result in severe economic loss and casualties. …”
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    Article
  3. 303

    Cry-Based Classification of Healthy and Sick Infants Using Adapted Boosting Mixture Learning Method for Gaussian Mixture Models by Hesam Farsaie Alaie, Chakib Tadj

    Published 2012-01-01
    “…Cry pattern for each pathological condition is created by using adapted boosting mixture learning (BML) method to estimate mixture model parameters. …”
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    Woody Species Composition, Structure, and Soil Seed Bank of the Degraded Parts of the Gera Moist Afromontane Forest, Southwestern Ethiopia by Dereje Egeta, Giche Yadesa, Abeje Eshete, Hailu Belay, Urge Charu, Tensay Teshome

    Published 2024-01-01
    “…The current study aims to investigate the woody species composition, structure, regeneration, diversity, and distribution of the soil seed bank in a degraded part of the Gera moist Afromontane forest. A systematic random sampling technique was used to collect tree data. …”
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    Deep learning-based synthetic CT for dosimetric monitoring of combined conventional radiotherapy and lattice boost in large lung tumors by Hongwei Zeng, Xiangyu E, Minghe Lv, Su Zeng, Yue Feng, Wenhao Shen, Wenhui Guan, Yang Zhang, Ruping Zhao, Jingping Yu

    Published 2025-01-01
    “…This study aimed to develop an integrated treatment plan that combines CRT with lattice boost radiotherapy (LRT) and monitors its dosimetric characteristics. …”
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    Achieving High-Quality Image Stylization Using Hierarchical Sensibility Boost, Visual Style Attention, and Covariance Evolution Blend by Ya Gao

    Published 2025-01-01
    “…This paper proposes a novel approach for high-quality image stylization by introducing a method that integrates Hierarchical Sensibility Boost (HSB), Visual Style Attention (VSA), and Covariance Evolution Blend (CovEB) blocks. …”
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    A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE) by Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron

    Published 2020-04-01
    “…This study proposes a novel multiclass classification approach called Gradient Boosting Machine with Feature Engineering (GBM-wFE) and Principal Component Analysis (PCA) as the feature selection. …”
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    Transmission Efficiency Calculation of 2K-H Negative Differential Gear Train in Main Hoisting Reducer of Ladle Crane by Shi Wenjie, Yang Liqiang, Liu Shijun, Wang Yong, Huang Hongtao, Jiang Jing

    Published 2015-01-01
    “…For a long time,the theoretical derivation value of the transmission efficiency of 2K-H negative differential gear train is high,however,there is large power loss of hoisting reducer epicyclic gear train in practice.The theoretical analysis and practical application is combined to discuss various factors and their proportion that impact the actual transmission efficiency of 2K-H negative differential gear train in main hoisting reducer of ladle crane,aiming to make the calculated value is closer to actual value.…”
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    Retrieval of Land Surface Temperature From Passive Microwave Observations Using CatBoost-Based Adaptive Feature Selection by Yang Dai, Yingbao Yang, Xin Pan, Penghua Hu, Xiangjin Meng, Fanggang Li, Zhenwei Wang

    Published 2025-01-01
    “…Finally, the optimized feature sets were used in the CatBoost algorithm to construct the PMW-LST retrieval model. …”
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