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  1. 221

    SWOT-Based Intertidal Digital Elevation Model Extraction and Spatiotemporal Variation Assessment by Hongkai Shi, Dongzhen Jia, Xiufeng He, Ole Baltazar Andersen, Xiangtian Zheng

    Published 2025-04-01
    “…Traditional methods for the construction of intertidal digital elevation models (DEMs) require the integration of long-term multi-sensor datasets and struggle to capture the spatiotemporal variation caused by ocean dynamics. …”
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    Article
  2. 222

    Extending gene set variation analysis with a reference dataset to stabilize scores by Lorin Towle-Miller, William Jordan, Alexandre Lockhart, Johannes Freudenburg, Aman Virmani, Mandy Bergquist, Jeffrey Miecznikowski, Will Powley

    Published 2025-07-01
    “…An application on irritable bowel disease highlights interpretational advantages of rsGSVA to other methods in up/down regulation of inflammation signatures. …”
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  3. 223

    Assessing the degree of innovative readiness of systemic transformation of management in the context of transition to the sixth technological paradigm by N. M. Kalinina, N. A. Kulik

    Published 2023-12-01
    “…The purpose of the work is to assess the degree of readiness for the transformation of management systems in the context of the transition to the sixth technological paradigm in the context of studying the innovative activity of industrial entities in the field of developed production technologies, including integrated management and control (advanced methods of organization and production management). …”
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    Thermal Management for Electric Motorcycles—Multi-Scale Modelling and Battery Thermal Design Evaluation by Tao Zhu, Mehmet Kirca, Shilei Zhou, Truong Dinh, Andrew McGordon

    Published 2025-03-01
    “…Particularly, the proposed battery model is structured across the pack–module–cell hierarchy, which makes it capable of distinguishing the thermal state of each individual cell and the cell-to-cell performance variations resulting from temperature effects. The integrated cooling system and multi-scale battery modelling method proposed in this paper allow for a quick comparison of performances between different battery module thermal designs, which is specifically suited for early-stage investigation of different concepts. …”
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  7. 227

    Water Level Variation Monitoring in East Lake, Wuhan Based on Satellite Altimetry by LIU Huo-sheng, WANG Hai-hong, YU Qian-hui, LU Liang, QIN Peng-cheng, LIU Yi-bing

    Published 2025-06-01
    “…Finally, meteorological data (precipitation, evaporation) and a water balance model were integrated to quantify the contributions of natural and anthropogenic factors to East Lake’s water level variations. …”
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  8. 228

    Selective sweep and GWAS provide insights into adaptive variation of Populus cathayana leaves by Xinglu Zhou, Xiaodong Xiang, Demei Cao, Lei Zhang, Jianjun Hu

    Published 2024-01-01
    “…Single-trait and multi-trait GWAS methods detected 13 and 59 genes, respectively. By integrating the results of selective sweep and GWAS, we further identified a total of nine overlapping genes. …”
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  9. 229

    ECG Screening in Athletes: A Systematic Review of Sport, Age, and Gender Variations by Adela Caramoci, Alina Maria Smaranda, Teodora Simina Drăgoiu, Ioana Anca Bădărău

    Published 2025-05-01
    “…Methods: A systematic review of observational studies published between 2015 and 2025 was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. …”
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    Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation by Zhonghao Ren, Xiangxiang Zeng, Yizhen Lao, Zhuhong You, Yifan Shang, Quan Zou, Chen Lin

    Published 2025-04-01
    “…Existing computational methods rely heavily on abundant samples, failing to identify rare DDIEs. …”
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    Enhancing Vocal Performance using Variational Onsager Neural Network and Optimized with Golden Search Optimization Algorithm by Lian Sun

    Published 2024-12-01
    “…By employing a sophisticated combination of techniques, exercises, and methodologies, this system strategically targets and cultivates the muscle groups integral to singing. In its innovative approach, SMATS integrates Artificial Intelligence (AI) to elevate vocal capabilities further. …”
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  15. 235

    A hybrid variational mode decomposition framework for enhanced cardiac output estimation using impedance cardiography by Priya Darshini Kumari, Ksh Milan Singh, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Satyabrata Lenka, Ganapati Panda, Sujeevan Kumar Agir

    Published 2025-07-01
    “…This study introduces a novel three-stage denoising framework integrating Variational Mode Decomposition (VMD), Non-Local Means (NLM), and Discrete Wavelet Transform (DWT) to enhance ICG signal quality for robust CO estimation. …”
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    A frequency domain-based loop shaping procedure for the parameter estimation of the fractional-order tilt integral derivative controller by Biresh Kumar Dakua, Bibhuti Bhusan Pati

    Published 2024-11-01
    “…This paper demonstrates a frequency domain-based loop shaping method for the parameter estimation of a fractional order tilt integral derivative (FOTID) controller for the interval integer and fractional order time-delay systems. …”
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  18. 238

    A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs by Haiqin Xu, Shahzada Ali Hassan, Waseem Haider, Youchao Sun, Xiaojun Yu

    Published 2025-03-01
    “…This study proposes a novel solution through the frequency-shifting variational mode decomposition (FS-VMD) method, which overcomes the limitations of traditional SD techniques by providing better resolution of intrinsic mode functions (IMFs). …”
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  19. 239

    Application of Modified Laplace Variational Iteration Hybrid Approach for Solving Time-Fractional Fourth-Order Parabolic PDEs by Mehari Fentahun Endalew, Xiaoming Zhang

    Published 2025-01-01
    “…This approach is essential for specifying the Lagrange multiplier without applying integration or convolution methods via recurrence relations. …”
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  20. 240

    A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition by Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem

    Published 2025-08-01
    “… Accurate forecasting of photovoltaic (PV) power is essential for effective grid integration and energy management, particularly in solar-rich regions such as Algeria. …”
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