Showing 4,741 - 4,760 results of 18,707 for search 'optimal different methods', query time: 0.34s Refine Results
  1. 4741

    Exploring the in silico adaptation of the Nephroblastoma Oncosimulator to MRI scans, treatment data, and histological profiles of patients from different risk groups by Marcel Meyerheim, Foteini Panagiotidou, Eleni Georgiadi, Eleni Georgiadi, Dimitrios Soudris, Georgios Stamatakos, Norbert Graf

    Published 2025-04-01
    “…In silico models aim to simulate tumor progression and treatment responses over time; they hold immense potential for enhancing the predictive accuracy and optimizing treatment protocols as they are inspired by the digital twin paradigm.MethodsThe present study uses T2-weighted magnetic resonance images, chemotherapy treatment plans, and post-surgical histological profiles from three patients enrolled in the SIOP 2001/GPOH clinical trial, where each patient represents a distinct clinically assessed risk group. …”
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  2. 4742

    Exploring the non-targeted metabolomic landscape in endurance-trained runners following 10 weeks of different dietary patterns and concomitant training by Anna Maria Kripp, Ammar Tahir, Agnes Draxler, Maria Speiser, Karl-Heinz Wagner, Daniel König

    Published 2025-12-01
    “…The classification into LOW-GI and HIGH-GI groups is based on the premise that metabolic regulation, particularly insulin response and glucose metabolism, differs significantly between the consumption of high-glycemic and low-glycemic foods.Methods The participants (n = 49, 28 ± 4 years, BMI: 24.2 ± 2.8 kg/m2, VO2 peak: 56 ± 8 ml/min/kg) were randomly allocated to a LOW-GI (n = 16), a HIGH-GI (n = 16) or a LCHF (n = 17) diet for 10 weeks and the same endurance training intervention. …”
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  3. 4743

    Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method by Zhao Jinbo, Li Yufu, Mo Haitao

    Published 2025-04-01
    “…Overall, the XGBoost-MICE method exhibited high imputation accuracy and stable convergence across various missing data scenarios, providing robust technical support for optimizing intelligent mine ventilation systems.…”
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  4. 4744

    Do 3D-Printed and Milled Denture Bases Differ in Microbial Activity and Adhesion? A Systematic Review and Meta-Analysis by Sarah Arzani, Erfan Khorasani, Aida Mokhlesi, Shima Azadian, Safoura Ghodsi, Seyed Ali Mosaddad

    Published 2025-08-01
    “…The standardized mean difference (SMD) was used to compare microbial metabolic activity and cell adhesion outcomes between groups. …”
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  5. 4745

    Time-of-Day Effects on Post-Activation Potentiation Protocols: Effects of Different Tension Loads on Agility and Vertical Jump Performance in Judokas by Bilal Karakoç, Özgür Eken, Ahmet Kurtoğlu, Oğuzhan Arslan, İsmihan Eken, Safaa M. Elkholi

    Published 2025-02-01
    “…<i>Background and Objectives</i>: This study aimed to investigate the effects of different tension loads in post-activation potentiation protocols on agility and vertical jump performance across different times of day in trained judokas, addressing a significant gap in understanding the interaction between diurnal variations and post-activation potentiation protocol responses in combat sports. …”
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  6. 4746
  7. 4747
  8. 4748

    Investigation of directly suspended droplet micro extraction method for extraction of trihalomethane and halomethane in water samples by Seyed Kamal Rajabi, Ahmad Nikserasht

    Published 2018-06-01
    “…A good linearity (r2 ≥ 0.997) and a relatively broad dynamic linear range (10–200 µg L−1) were obtained and recoveries of method were in the range of 97.69–99.51%. Finally, the proposed method was successfully utilized for pre concentration and determination of halo methane in different real samples. …”
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  9. 4749

    Solidification process modeling for energy storage by means of galerkin method utilizing nano-sized additives by Amira Mohamed Hussin, Hussein A.Z. AL-bonsrulah

    Published 2024-12-01
    “…In this study, a numerical method for modeling the freezing process inside a storage enclosure equipped with ψ-shaped fins has been scrutinized. …”
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  10. 4750

    Research on the Algorithm and Test of Transmission Line Voltage Measurement Based on Electric Field Integral Method by Jingang Wang, Lu Gao

    Published 2018-01-01
    “…The measurement effects of different voltage measurement methods were compared and it was proposed to apply the Chebyshev piecewise integral algorithm to the voltage measurement system of the transmission line. …”
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  11. 4751

    An Adaptive Brightness Global Digital Image Correlation Method for Deformation Measurement Using Overexposed Images by Chunyuan Gong, Boxing Qian, Qianhai Lu

    Published 2025-06-01
    “…The modified image can significantly increase the Mean Intensity Gradient within different partitions. This method overcomes the difficulty in measuring the weld deformation during the welding process and can achieve dynamic deformation measurement using overexposed images. …”
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  12. 4752

    A Multimodal Data Fusion and Embedding Attention Mechanism-Based Method for Eggplant Disease Detection by Xinyue Wang, Fengyi Yan, Bo Li, Boda Yu, Xingyu Zhou, Xuechun Tang, Tongyue Jia, Chunli Lv

    Published 2025-03-01
    “…The method integrates image and sensor data, optimizing the fusion of multimodal features through an embedded attention mechanism, which enhances the model’s ability to focus on disease-related features. …”
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  13. 4753

    A Systematic Method for the Calibration of FEA Model of Synchronous Reluctance Machines Considering Manufacturing Effects by Andrea Credo, Paolo Pescetto

    Published 2025-01-01
    “…This article offers a systematic method for accurately calibrating the electromagnetic FEA models, permitting to consider the production process within the motor design stage. …”
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  14. 4754

    Development of a sectionalizing method for simulation of large-scale complicated natural gas pipeline networks by Duihong Zhang, Yi Yang

    Published 2024-12-01
    “…This paper describes the development of a new sectionalizing method, which is based on optimization strategy, for simulating large-scale and complicated natural gas pipeline networks. …”
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  15. 4755

    Application of the Endurance Time Method in the Seismic Assessment of Moment-Resisting Reinforced Concrete Frames with Setbacks by Mehdi Izadpanah

    Published 2024-12-01
    “…In this method, acceleration functions are generated using optimization algorithms, reducing the need for excessive use of accelerograms. …”
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  16. 4756
  17. 4757

    Design and Analysis of a Hybrid MPPT Method for PV Systems Under Partial Shading Conditions by Oğuzhan Timur, Bayram Kaan Uzundağ

    Published 2025-06-01
    “…The proposed hybrid MPPT method is tested under different partial shading conditions and variable irradiance levels. …”
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  18. 4758

    A Phase Error Compensation Method for High-Rise Targets in High-Resolution SAR Images by JiaDong Deng, Wei Yang, HongCheng Zeng, YaMin Wang, Jiayi Guo, Wei Xiong, Min Liu, Jie Chen, Wei Liu

    Published 2025-01-01
    “…To address this issue, an optimization algorithm is proposed based on the conjugate gradient method to estimate and compensate for the phase error. …”
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  19. 4759

    The Effect of Different Levels of Vermicompost and Chemical Fertilizer on some Quantitative and Qualitative Traits of Three Maize (Zea mays L.) Cultivars by Mohammad Akbari, Gholamreza Heidari, Shiva Khalesro, Mohammad Majidi

    Published 2025-03-01
    “…This experiment aimed to investigate the response of maize cultivars to different levels of vermicompost and chemical fertilizers to optimize crop nutrition management and reduce chemical fertilizers consumption, supporting sustainable agriculture. …”
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  20. 4760

    An interpretable machine learning method for fault diagnosis of oil-immersed transformers based on edge inference by Dong Hu, Yong Yang, Hao Dai, Chao Tang, Jufang Xie

    Published 2025-07-01
    “…Second, the hyperparameters of Extreme Gradient Boosting are automatically tuned using the Newton–Raphson optimizer. Compared with other diagnostic methods, the proposed model yields superior classification effect accuracy. …”
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