Showing 181 - 200 results of 660 for search 'distributed root systems', query time: 0.12s Refine Results
  1. 181

    A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

    Published 2025-01-01
    “…This study presents a novel dynamic machine learning based explainable fusion approach to address the issues of process monitoring in industrial and chemical process systems. The methodology aims to detect faults, identify their key causes and feature variables, and analyze the root path of fault propagation with the time and magnitude of one cause variable to another impact. …”
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  2. 182

    Genome-Wide Identification of the Kinesin Gene Family in Soybean and Its Response to Salt Stress by Ting Jin, Kai Zhang, Xiujie Zhang, Chunhua Wu, Weihua Long

    Published 2025-01-01
    “…Using quantitative fluorescence PCR, transgenic yeast, and a transgenic hairy root system, we preliminarily validated the salt tolerance functions of the four <i>KIN</i> genes in soybeans. …”
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  3. 183

    Allelopathic Effects of Soil Extracts from <i>Rhus typhina</i> Plantations on Common Turfgrass Species in Northern China by Jiahao Li, Liang Fang, Liping Li, Yuxin Dong, Lingsu Chen, Xiaoxi Zhang

    Published 2024-10-01
    “…The allelopathic plant <i>Rhus typhina</i> (Rt) has a shallowly distributed root system with a high density of secretory canals, which may allow it to exhibit indirect allelopathic effects through the soil on an understory turf species in a plantation. …”
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  4. 184

    Evaluation of dentists’ clinical practices and antibiotic use in managing endodontic emergencies in Karachi, Pakistan: a cross-sectional survey by Hassan Yaqoob, Nighat Naved, Shahrukh Ali Khan, Syeda Farah Jabeen, Syed Saqib Raza, Taimur Khalid

    Published 2024-12-01
    “…Materials and methods A web-based questionnaire was distributed to working dentists in secondary and tertiary care hospitals and clinics. …”
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  5. 185
  6. 186

    Improved PR Control Without Load Current Sensors and Phase-Locked Loops for APFs by Jianling Liao, Wei Yuan, Yankui Zhang, Jia Zou, Xu Zhang

    Published 2025-07-01
    “…To guide the controller parameter setting, this paper systematically discusses the influence of changes in <i>K</i><sub>p</sub> and <i>K</i><sub>r</sub> on pole distribution and dynamic performance based on discrete domain modeling and root locus analysis methods. …”
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  7. 187

    Hystimator: DRT‐based hysteresis modelling for accurate SoC estimation in LFP battery cells by Guillaume Thenaisie, Claudio Brivio

    Published 2024-12-01
    “…The validation results show a significant reduction in the Root Mean Square Error (RMSE) during real‐world laboratory testing. …”
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  8. 188
  9. 189

    Debugmate: an AI agent for efficient on-call debugging in complex production systems by Rohan Modi, Navtej Reddy, Sai Sreenivas Kodur

    Published 2025-08-01
    “…Abstract Production systems are often complex and distributed in nature. …”
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  10. 190

    Regulation and Functions of Long Noncoding RNAs During Meloidogyne incognita Parasitism of Tomato by Selin Ozdemir, Sobhan Bahrami Zadegan, Mst Shamira Sultana, Nicole Coffey, J. Hollis Rice, Tarek Hewezi

    Published 2025-01-01
    “…In this study, we investigated the differential regulation and function of lncRNAs during two different stages of tomato infection by the root-knot nematode Meloidogyne incognita. At the early stage of infection, 2,218 and 2,827 lncRNAs were regulated locally in the M. incognita–induced galls and systemically in the neighboring root cells, respectively. …”
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  11. 191
  12. 192

    Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology by Hassan Bagheri, Reza Mohebian, Ali Moradzadeh, Behnia Azizzadeh Mehmandost Olya

    Published 2024-12-01
    “…Traditional methods for predicting pore size distribution (PSD), relying on drilling cores or thin sections, face limitations associated with depth specificity. …”
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  13. 193

    Flow Prediction Method Combining Physical Model and Deep Learning: A Case Study of Gaodao Station along Lianjiang River by HUANG Zexi, SUN Wei, CHEN Xinlin, RONG Zerong, LUO Xiaokang, WANG Xianwei

    Published 2025-05-01
    “…The study adopted a combination of the hydrologic engineering center-hydrologic modeling system (HEC-HMS) distributed hydrological model and the long short-term memory (LSTM) network to construct three types of coupled models, namely the HEC-LSTM model based on error correction, the HECo1-LSTM model based on single-station flow, and the HECo2-LSTM model based on multi-sub-basin output. …”
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  14. 194

    Flow Prediction Method Combining Physical Model and Deep Learning: A Case Study of Gaodao Station along Lianjiang River by HUANG Zexi, SUN Wei, CHEN Xinlin, RONG Zerong, LUO Xiaokang, WANG Xianwei

    Published 2025-01-01
    “…The study adopted a combination of the hydrologic engineering center-hydrologic modeling system (HEC-HMS) distributed hydrological model and the long short-term memory (LSTM) network to construct three types of coupled models, namely the HEC-LSTM model based on error correction, the HECo1-LSTM model based on single-station flow, and the HECo2-LSTM model based on multi-sub-basin output. …”
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  15. 195
  16. 196

    Research on dynamic characteristics of pantograph arc under cross wind by SUN Chuanming, LU Chao, MU Tingyou, ZHANG Zuoqin

    Published 2022-07-01
    “…The wear of the contact wire and the surface of the pantograph strip will affect the flow field distribution in the arc area, and ultimately lead to differences in the arc root displacement distance and movement speed.…”
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  17. 197
  18. 198

    Analysis on the Effect of Controller Time Delay on the Stability of Maglev System by Xiaohao CHEN, Weihua MA

    Published 2019-03-01
    “…In order to study the effect of the time delay on the stability of EMS maglev train and solve the problem of instability of maglev train, a single degree of freedom electromagnetic suspension model based on double loop feedback control system was established. Based on the time delay of controller, the Routh-Hurwitz stability criterion was used to determine the characteristic root distribution of the system. …”
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  19. 199
  20. 200

    Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers by Zeen Chen, Chenhuan Wang, Zhenyang Ding, Dongfang Zhu, Haohan Guo, Ming Pan, Yin Yu, Kun Liu, Junfeng Jiang, Tiegen Liu

    Published 2021-01-01
    “…We fabricate a 3D phantom containing a groove with a variable curvature radius of 5&#x00A0;cm to 100&#x00A0;cm. The presented distributed shape sensing system realize to reconstruct this complicated 3D shape. …”
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