Showing 401 - 420 results of 3,710 for search 'variations integration (method OR methods)', query time: 0.21s Refine Results
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    Low Contrast Enhancement Algorithm for Color Image Using Pythagorean Fuzzy Sets With a Fusion of CLAHE and BPDHE Methods by M. Manivasagan, S. Jagatheswari

    Published 2025-01-01
    “…By integrating this method with contrast limited adaptive histogram equalization, alongside a color restoration technique and brightness-preserving dynamic histogram equalization, the brightness and natural appearance of the original low-contrast image are maintained. …”
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    A Hierarchical and Self-Evolving Digital Twin (HSE-DT) Method for Multi-Faceted Battery Situation Awareness Realisation by Kai Zhao, Ying Liu, Yue Zhou, Wenlong Ming, Jianzhong Wu

    Published 2025-02-01
    “…Its hierarchical structure allows the integration of different estimation models, and the self-evolving method allows the method to adapt to changes in different operating conditions. …”
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  9. 409

    Meta-learning approach for variational autoencoder hyperparameter tuning by Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

    Published 2025-06-01
    “…We propose a meta-learning (MtL) method for hyperparameter recommendation, which achieves competitive performance to state-of-the-art Bayesian Optimization (BO) with median AUC values of 0.660 ± 0.038 (MtL) and 0.650 ± 0.041 (BO), showing no statistically significant difference. …”
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  10. 410

    PortraitEmotion3D: A Novel Dataset and 3D Emotion Estimation Method for Artistic Portraiture Analysis by Shao Liu, Sos Agaian, Artyom Grigoryan

    Published 2024-12-01
    “…Second, we propose an innovative 3D emotion estimation method that leverages three-dimensional labeling to capture the nuanced emotional spectrum depicted in artistic works. …”
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    High-Precision Normal Stress Measurement Methods for Tire–Road Contact and Its Spatial and Frequency Domain Distribution Characteristics by Liang Song, Xixian Wu, Zijie Xie, Jie Gao, Di Yun, Zongjian Lei

    Published 2025-07-01
    “…A novel measurement method, integrating 3D scanning technology with bearing area curve (BAC) analysis, is proposed. …”
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    Multi-Objective Decision-Making Evaluation Method of Environmental Impact Associated with the Life Cycle of Agro-Friendly Biochar Materials by Shunyang Wang, Jing Wei, Hua Li, Da Ding, Yaxin Zhang, Yuen Zhu, Shaopo Deng, Yongming Luo

    Published 2024-11-01
    “…Sensitivity analysis further confirmed the robustness of the method, with impact variations ranging from 0.44 to 0.52, suggesting the model’s reliability in comparing different remediation materials. …”
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    Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

    Published 2024-12-01
    “…Our method capitalizes on the sophisticated design of the online variational inference framework, ensuring a technically robust derivation and implementation. …”
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    Variational Autoencoder-Based Framework for Retail Sales Prediction by Fuyu Li, Lei Wang, Bo Jin

    Published 2024-01-01
    “…Extensive experiments conducted in collaboration with a national retail chain in China demonstrate that our method outperforms state-of-the-art baseline methods and is practical for various operational and management tasks.…”
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    A Three-Dimensional Phenotype Extraction Method Based on Point Cloud Segmentation for All-Period Cotton Multiple Organs by Pengyu Chu, Bo Han, Qiang Guo, Yiping Wan, Jingjing Zhang

    Published 2025-05-01
    “…Therefore, this study proposes a cotton phenotypic data extraction algorithm that integrates ResDGCNN with an improved region-growing method and constructs a 3D point cloud dataset of cotton covering the entire growth period under real growth conditions. …”
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    Noise Processing Method of MEMS Tilt Sensor Using Improved Kalman Filter Based on Quantum Particle Swarm Optimization by Yutong Ge, Weizheng Ren, Kaile Yu, Yiran Zhang, Yuxiao Li

    Published 2025-01-01
    “…According to the experimental findings, the proposed method exhibits a superior noise reduction effect, as evidenced by its smaller mean absolute error (MAE) and mean square error (MSE) compared to alternative techniques such as variational mode decomposition (VMD) combined with wavelet transform (WT), back propagation (BP) neural network optimized Kalman filter and particle swarm optimization (PSO) improved Kalman filter. …”
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  18. 418

    K-Nearest Neighbors hybrid method for maximum power point tracking under partial shading for photovoltaic power systems by Djamel Guessoum, Maen Takrouri, Mohammad Rabih, Maissa Farhat, Sufian A. Badawi

    Published 2025-09-01
    “…Moreover, the KNN method proved to be highly adaptable to variations in PSC and rapid changes in solar irradiation.…”
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    Frequency Responses Resistance to Variations of Electric Filter Parameters by E. N. Chervinskiy

    Published 2017-06-01
    “…The purpose of the article is to develop evaluation methods of amplitude- and phase-frequency responses resistance of low-pass and high-pass filters to parameter variations during the filters realization. …”
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