Showing 8,641 - 8,660 results of 10,710 for search 'control model optimization', query time: 0.27s Refine Results
  1. 8641

    Unravelling herbicide stress and its impact on metabolite profiling in Cannabis sativa: an investigative study by Sabreen Bashir, Navneet Kaur, Agrataben Vadhel, Awadhesh Kumar Verma, Madhuri Girdhar, Tabarak Malik, Anil Kumar, Anand Mohan

    Published 2025-07-01
    “…Furthermore, in silico studies using molecular modelling and optimization via Density Functional Theory (DFT) were performed, followed by molecular docking. …”
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  2. 8642

    PROBLEMS AND NECESSITIES OF INFORMING OF POPULATION OF TERRITORIES, MUDDY RADIO-ACTIVE MATTERS by I. V. Kochin, O. M. Akulova, P. I. Sidorenko, V. M. Vasilenko, O. O. Gajvolya

    Published 2014-04-01
    “…The experts of Worldwide nature protection organization of Greenpeace consider that in case of scale failure on AES population presently is badly protected from radiation influencing, as well as before, people are not enough informed about its consequences. PURPOSE OF WORK. Optimization of informing the population from polluted territories, on the basis of developing the models of self-government local organs’ informative activity and creation the development Centers of associations in obedience to UNESCO Chernobyl' Program and Chernobyl' Programs of UNO. …”
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  3. 8643

    Problems and perspectives of family doctors training on the undergraduate stage by Yu. M. Kolesnik, V. D. Syvolap, N. S. Mikhaylovskaya, T.O. Kulinich

    Published 2013-04-01
    “…Computer presentations, videos, case-technology and other innovative methods are widely used for training optimization. For working on practical part of family doctors basic skills it is planned to organize educational and training center at the family ambulatory, and its equipment with the necessary visual means, phantoms, models, simulators, diagnostic, medical apparatus and instruments. …”
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  4. 8644

    Physics-guided attention-aware convolutional neural networks for identification of magnetic islands in the tearing mode on EAST tokamak by Feifei Long, Yian Zhao, Yunjiao Zhang, Chenguang Wan, Yinan Zhou, Ziwei Qiang, Kangning Yang, Jiuying Li, Tonghui Shi, Bihao Guo, Yang Zhang, Hailing Zhao, Ang Ti, Adi Liu, Chu Zhou, Jinlin Xie, Zixi Liu, Ge Zhuang, the EAST Team

    Published 2025-01-01
    “…By leveraging the deep learning model, which incorporates a physical understanding of the tearing process to identify TM behaviors, the combination of physical mechanisms and deep learning is emphasized, significantly laying an important foundation for the future intelligent control of TM dynamics.…”
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  5. 8645

    A comprehensive water quality assessment for a typical river–lake watershed in Northeast China: implications for the water management of boundary lake by Bingbo Ni, Xuemei Liu, Yanfeng Wu, Ming Jiang, Yuanchun Zou

    Published 2025-09-01
    “…The XGBoost model and the aggregation function of eight sub-indicators were employed to identify the primary control indicators across various seasons. …”
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  6. 8646
  7. 8647

    Cooperation and Competition Among Automated Vehicles in Highway Merge Scenario—A Proof-of-Concept Study by Eugene Lee, Joonho Park, Kitae Jang, Eunjeong Ko, Zhibin Li, Jaehyun So

    Published 2025-01-01
    “…Simulations were conducted to implement the movements of automated vehicles, and a dynamic programming model was used to predict and optimize vehicle trajectories. …”
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  8. 8648

    Dispatch of decentralized energy systems using artificial neural networks: A comparative analysis with emphasis on training methods by Lukas Koenemann, Astrid Bensmann, Johannes Gerster, Richard Hanke-Rauschenbach

    Published 2024-10-01
    “…Conventional rule-based dispatch strategies often reach their limits here, and optimized dispatch strategies (e.g., model predictive control or the optimal dispatch) are usually based on very good forecasts. …”
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  9. 8649

    AI-driven diagnosis and health management of autonomous electric vehicle powertrains: An empirical data-driven approach by Hicham El hadraoui, Adila El maghraoui, Oussama Laayati, Erroumayssae Sabani, Mourad Zegrari, Ahmed Chebak

    Published 2025-09-01
    “…Among the models, the optimized neural network combined with CA-selected features achieved the most consistent diagnostic performance, supported by low root mean square error and balanced evaluation metrics. …”
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    Article
  10. 8650

    A nomogram based on quantitative MR signal intensity predicts early response to combined systemic treatment in patients with hepatocellular carcinoma by Ran Tao, Haohao Lu, Xiangjun Dong, Qian Qian Ren, Hongjie Fan, Zhaoming Tang, Xiangwen Xia

    Published 2025-03-01
    “…The predictive value of the relative signal intensity attenuation index (rSIAI) based on enhanced MR parameters and laboratory parameters on disease control was evaluated using receiver operating characteristic (ROC) curves, with the determination of optimal cut-off values (COVs) accomplished via Youden’s index. …”
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  11. 8651

    Analyzing the impact of non-Newtonian nanofluid flow on pollutant discharge concentration in wastewater management using an artificial computing approach by Sidra Jubair, Jie Yang, Bilal Ali, Bandar Bin-Mohsin, Hamiden Abd El-Wahed Khalifa

    Published 2024-12-01
    “…Abstract Wastewater discharge is important in numerous areas of industries and in governance of the environmental sectors. Controlling and monitoring water pollution are essential for protecting the availability of water and upholding standards of sustainability. …”
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  12. 8652

    The effect of IL-1β inhibitor canakinumab (Ilaris®) on IL-6 production in human skeletal muscle cells. by Anna Cordeiro-Santanach, Fiorella Morales, Maria Del Carmen Parquet, Kitipong Uaesoontrachoon, Joyce Rowsell, Jordan Warford, Wilson Wu, Pia Elustondo, Eric P Hoffman, Kanneboyina Nagaraju

    Published 2025-01-01
    “…These results align with previously published pre-clinical work with other IL-1 inhibitors in the mdx mouse model and support further investigation into the clinical utility of repositioning canakinumab to treat DMD.…”
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  13. 8653

    Cropland Loss Under Different Urban Expansion Patterns in China (1990–2020): Spatiotemporal Characteristics, Driving Factors, and Policy Implications by Chengrui Mao, Shanshan Feng, Canfang Zhou

    Published 2025-02-01
    “…Based on these findings, we propose tailored planning and policies for different urban expansion patterns; for regions dominated by edge-spreading, stricter controls on urban boundaries and stronger land use planning constraints are required. …”
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  14. 8654

    Metabolic profiles and prediction of failure to thrive of citrin deficiency with normal liver function based on metabolomics and machine learning by Peiyao Wang, Duo Zhou, Lingwei Hu, Pingping Ge, Ziyan Cen, Zhenzhen Hu, Qimin He, Kejun Zhou, Benqing Wu, Xinwen Huang

    Published 2025-05-01
    “…Method A case-control study was conducted from October 2020 to July 2024, including 16 NICCD patients, 31 NICCD-matched controls, 34 post-NICCD patients, and 70 post-NICCD-matched controls. …”
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  15. 8655

    Social Programs in the Structure of Expenditures of the Consolidated Budget of the Federa-tion Subject by A. S. Dmitriev, A. M. Stash

    Published 2020-04-01
    “…The developed social sphere of the region makes it possible to form effective civil society institutions, in which the population independently participates in the process of improving the social environment. To ensure control over timely and complete budget execution, state audit methods can be used (we are talking about regional and municipal control and accounting bodies), including strategic audit, which allows proactive control of the effectiveness of upcoming events. …”
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  16. 8656

    Remote monitoring of adolescents with type 1 diabetes mellitus using a mobile application by D. N. Laptev, I. A. Eremina, A. V. Karpushkina, E. E. Petryaykina, O. B. Bezlepkina, V. A. Peterkova

    Published 2022-01-01
    “…Adolescence is the most challenging age for achieving optimal metabolic control of T1DM. Telemedicine has already been shown to be ­effective in children with the condition, but there are not enough studies in adolescents. …”
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  17. 8657

    6-mercaptopurine Metabolites as Predictors of Neutropenia and Hepatotoxicity in Pediatric Acute Lymphoblastic Leukemia by Ebrahim Salehifar, Omid Abed Khojasteh, Seyed Jalal Hosseinimehr, Hossein Karami, Mohammad Naderi Sorki, Hadi Darvish-Khezri, Kimia Karami

    Published 2025-01-01
    “…The concentrations of 6-MP metabolites were measured using high-performance liquid chromatography (HPLC) and analyzed by mixed model analysis. Results: No significant differences were found between the case and control groups regarding gender, age, body mass index, drug dose, and the number of dose reductions. …”
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  18. 8658

    Effectiveness of men in maternity health (MiM) intervention on male involvement in maternal health care to improve maternal health outcomes in Naypyitaw, Myanmar [version 1; peer r... by Alessio Panza, Pyae Linn Aung, San San Myint Aung, May Chan Oo

    Published 2024-08-01
    “…Before and after the intervention, comparisons between intervention and control groups were made. Results The socio-demographic characteristics of male partners were comparable between the intervention and control groups during the pre-intervention assessment. …”
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  19. 8659

    Impact of root cutting on root architecture and water use efficiency of rice seedlings by ZHU Mei, HU Chenfan, LIU Shuoshuo, SHI Yunjia, LIU Jingzhe, LIN Shimiao

    Published 2025-05-01
    “…【Objective】An optimal root architecture not only provides anchorage for plants but also enhances the acquisition of water and nutrients, which are unevenly distributed in the soil profile. …”
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  20. 8660

    AI-Driven Smart Agriculture: An Integrated Approach for Soil Analysis, Irrigation, and Crop-Fertilizer Recommendations by Ayesha Khaliq, Atif Khan, Salman Jan, Muhammad Umair, Asad Gulshair, Ahmad Ali, Usman Ali Shah

    Published 2025-01-01
    “…Future work will explore real-time adaptive control mechanisms and expand model generalization across diverse geographical region.…”
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