Showing 121 - 140 results of 3,710 for search 'variations integration methods', query time: 0.17s Refine Results
  1. 121

    A multi-task allocation method for coal gangue sorting robots based on the integration of greedy strategy and scheduling rules by CAO Xiangang, DING Wentao, WU Xudong, WANG Peng, ZANG Jiasong, LIU Yizhe

    Published 2025-04-01
    “…Based on a comprehensive consideration of the gangue queue characteristics and queuing theory scheduling rules, a multi-task allocation method for coal gangue sorting robots, integrating a greedy strategy and scheduling rules, was proposed. …”
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  2. 122

    Gender disparities in literacy: an analysis of regional and age-group variations in Somalia by Mukhtaar Axmed Cumar, Abdisalan Hassan Muse, Befekadu Zeleke Kidane, Jibril Abdikadir Ali

    Published 2025-05-01
    “…Significant regional variations were observed, with literacy rates ranging from 63.3% in Sool to 21.7% in Middle Shabelle. …”
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  3. 123
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  5. 125

    Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm by Ruirui Zhong, Yixiong Feng, Puyan Li, Xuanyu Wu, Ao Guo, Ansi Zhang, Chuanjiang Li

    Published 2024-09-01
    “…Then, a feature extraction method integrating variational mode decomposition (VMD), L‐cliffs‐based effective mode selection, and sample entropy is devised to extract the latent features from the complex high‐dimensional feature space. …”
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  6. 126

    Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density by Hangxing Zhao, Hangxing Zhao, Hangxing Zhao, Shenghui Yang, Shenghui Yang, Shenghui Yang, Wenwei Li, Wenwei Li, Han Feng, Han Feng, Shijie Jiang, Shijie Jiang, Weihong Liu, Weihong Liu, Jingbin Li, Yongjun Zheng, Yongjun Zheng, Songchao Zhang

    Published 2025-07-01
    “…As a result, few fully functional variable-rate spraying systems have been developed based on this parameter.MethodsThis study presents a variable-rate spraying method that integrates global navigation satellite system (GNSS) positioning with wind-excited audio-conducted estimation of canopy leaf area density. …”
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  7. 127

    Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

    Published 2025-06-01
    “…This study proposes a multi-modal joint pulsed eddy current signal sensor denoising method that integrates the inductive disturbance mechanism. …”
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  8. 128

    Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics by Fengda Li, Zeyi Li, Hong Xu, Gang Kong, Ze Zhang, Kaiyuan Cheng, Longyuan Gu, Lei Hua

    Published 2025-07-01
    “…Conclusion The deep learning model based on conventional MRI radiomic integrates VAE and IG methods. Compared with traditional machine learning algorithms, it shows the best performance in the prediction of 1p/19q molecular co-deletion status. …”
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  9. 129
  10. 130

    Innovative teaching methods in physical fitness education: integrating technology and gamification to improve student engagement-a systematic review by Djajati Mariana Lolowang, Fadli Ihsan, Nolfie Piri, Eduard Emor Kumenap, Fredrik Alfrets Makadada

    Published 2025-06-01
    “…Objective: This study systematically reviews empirical research on how technology and gamification contribute to student engagement in physical fitness education. Methods: A systematic review method was employed to analyze studies published in the last 15 years, retrieved from academic databases including Google Scholar, PubMed, and Scopus. …”
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  11. 131

    RESEARCH ON FAULT DIAGNOSIS METHOD OF OIL VIBRATION BASED ON DS EVIDENCE THEORY AND MULTI-PARAMETER FUSION (MT) by LI Qing, LI ZhaoYang, WANG TianQin, CHEN WeiHua, ZHANG Min, CHEN Bin, NIE JianHong

    Published 2023-01-01
    “…A gearbox fault diagnosis method based on DS evidence theory, which integrates oil and vibration with multiple parameters is proposed. …”
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  12. 132
  13. 133

    Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China by Dewei Xie, Zhaopei Zheng, Xin Ding, Lihong Wei, Yu Lan

    Published 2025-08-01
    “…This study innovatively employs deep neural networks (DNN) integrated with SHAP method, integrating nationwide daily meteorological data (2001–2020) and MODIS annual NPP products, to establish the first quantitative causal linkages between extreme temperature events and NPP dynamics across China. …”
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  14. 134
  15. 135

    Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-... by Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

    Published 2025-07-01
    “…For the second objective, the NN-GBLUP model incorporating PCA-reduced RMC data improved prediction accuracy compared to standard GBLUP methods. Prediction accuracy for methane emissions increased from 0.09 to 0.30 in train-test validation and from 0.15 to 0.27 in five-fold cross-validation using PCA components explaining 25% of total RMC variation. …”
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    Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

    Published 2025-10-01
    “…Leveraging the theoretical framework of pinch technology from process engineering, this paper proposes an Electricity Pinch Analysis (EPA) method for flexibility assessment. First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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    Posture Control of Hydraulic Flexible Second-Order Manipulators Based on Adaptive Integral Terminal Variable-Structure Predictive Method by Jianliang Xu, Zhen Sui, Feng Xu

    Published 2025-02-01
    “…Simulation experiments comparing the DITSMPC scheme with the classical discrete-time SMC method demonstrate that the proposed scheme results in smooth torque changes in each joint of the manipulator, with the integral of torque variations being <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5.22</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mn>3</mn></msup></mrow></semantics></math></inline-formula>. …”
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  20. 140

    Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learnin... by Mahnoosh Moghaddasi, Mansour Moradi, Mehdi Mohammadi Ghaleni, Mehdi Jamei

    Published 2025-06-01
    “…Additionally, the effectiveness of the suggested model (HPFE-ETR) was assessed and contrasted with two common methods, Time-Varying Filter-based Empirical Mode Decomposition (TVF-EMD) and Variational Mode Decomposition (VMD), both of which were combined with ETR. …”
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