Search alternatives:
variational » variations (Expand Search)
Showing 561 - 580 results of 3,710 for search 'Variational integration methods', query time: 0.16s Refine Results
  1. 561

    Integrating Remote Sensing and Proximal Sensors for the Detection of Soil Moisture and Salinity Variability in Coastal Areas by Yan GUO, Zhou SHI, Lian-qing ZHOU, Xi JIN, Yan-feng TIAN, Hong-fen TENG

    Published 2013-04-01
    “…When compared with a map of ECa interpolated by the ordinary kriging method, detail was revealed and the accuracy was increased by 15.3%. …”
    Get full text
    Article
  2. 562

    Integrated Geologic Modeling of Fault-Block Reservoir: A Case Study of Ss Oil Field by Zhipeng Xiao, Zhang Wei, Zhengyin Tang, Jianqing Guo, Ruijuan Geng, Tuobing Gou

    Published 2022-01-01
    “…To obtain the porosity and permeability model, the empirical formula of porosity and permeability, the SGS method, and the variation range value was input into the lithofacies model. …”
    Get full text
    Article
  3. 563

    Distributionally Robust Optimal Scheduling for Integrated Energy System Based on Dynamic Hydrogen Blending Strategy by Yixiao Xiao, Qianhua Xiao, Keyu Wang, Xiaohui Yang, Yan Zhang

    Published 2025-07-01
    “…To mitigate challenges arising from renewable energy volatility and multi-energy load uncertainty, this paper introduces a dynamic hydrogen blending (DHB) strategy for an integrated energy system. The strategy is categorized into Continuous Hydrogen Blending (CHB) and Time-phased Hydrogen Blending (THB), based on the temporal variations in the hydrogen blending ratio. …”
    Get full text
    Article
  4. 564

    Field programmable silicon microring WDM transceiver leveraging monolithically integrated phase-change materials by Xing Yang, Shihuan Ran, Ziquan Li, Liangjun Lu, Yu Li, Ngon Phu Wai, MingHua Zhang, Guo-Qiang Lo, Jianping Chen, Linjie Zhou

    Published 2025-05-01
    “…We demonstrate the effectiveness of this method by uniformly aligning the resonance wavelengths of four cascaded SbSe-integrated MRRs, each capable of 100 Gbps on–off keying (OOK) modulation and detection, culminating in a combined data rate of 400 Gbps. …”
    Get full text
    Article
  5. 565

    Short-Term Power Load Prediction of VMD-LSTM Based on ISSA Optimization by Shuai Wu, Huafeng Cai

    Published 2025-05-01
    “…To address the challenges of fluctuating power loads and inaccurate predictions by conventional methods, this paper presents a novel hybrid framework combining Variational Mode Decomposition (VMD), Long Short-Term Memory (LSTM), and the Improved Sparrow Search Algorithm (ISSA). …”
    Get full text
    Article
  6. 566

    Evaluation of Global Descriptor Methods for Appearance-Based Visual Place Recognition by Kangyu Li, Yuhan Ma, Xifeng Wang, Lijuan Ji, Niuniu Geng

    Published 2023-01-01
    “…Recently, global descriptor methods have attracted substantial attention from the VPR community, which has contributed to numerous important outcomes. …”
    Get full text
    Article
  7. 567

    Research on Decision-Making Methods for Autonomous Navigation in Inland Tributary Waterways by Liwen Huang, Jiahao Chen, Luping Xu, Haoyu Li, Guozhu Hao, Yixiong He

    Published 2025-03-01
    “…Under the premise of compliance with the “Rules of the People’s Republic of China for Inland River Collision Avoidance” (RPRCIRCA) and adherence to good seamanship, an autonomous navigation decision-making method is developed by integrating an improved Line-of-Sight tracking model with a collision avoidance strategy based on exhaustive course-speed maneuver combinations. …”
    Get full text
    Article
  8. 568

    Improved Key Microbial Biomarker Discovery Using Ensemble Statistical Methods by Walter Pirovano, Yashjit Gangopadhyay, Mirna Lilian Baak, Christiaan Arie de Leeuw, Radhika Bongoni, Eline Suzanne Klaassens

    Published 2025-01-01
    “…Here, we present a consensus-based key microbial biomarker (KMB) biostatistical analysis framework that links microbial abundance obtained from amplicon-based or shotgun metagenome sequencing with metadata. The framework integrates machine learning (ML) algorithms and statistical methods to determine the most relevant microbial biomarkers and signatures that explain variation in the microbial abundance counts and metadata classes based on predefined metrics. …”
    Get full text
    Article
  9. 569

    Probing Public Perceptions of Antidepressants on Social Media: Mixed Methods Study by Jianfeng Zhu, Xinyu Zhang, Ruoming Jin, Hailong Jiang, Deric R Kenne

    Published 2025-02-01
    “…MethodsData were collected from AskaPatient and Reddit, analyzed using natural language processing and large language models. …”
    Get full text
    Article
  10. 570

    Geospatial Modeling Methods in Epidemiological Kidney Research: An Overview and Practical Example by R. Blake Buchalter, Sumit Mohan, Jesse D. Schold

    Published 2024-04-01
    “…Geospatial modeling methods in population-level kidney research have not been used to full potential because few studies have completed associative spatial analyses between risk factors and exposures and kidney conditions and outcomes. …”
    Get full text
    Article
  11. 571

    Fault location scheme for multi-terminal DC transmission systems using time signal extraction and distance vector analysis by Jingfeng Mao, Yang Wu, Xiuyong Yu, Jiawen Qiu, Aihua Wu, Xinsong Zhang

    Published 2025-09-01
    “…This paper presents an advanced fault location scheme that integrates time signal extraction with distance vector analysis to address these challenges. …”
    Get full text
    Article
  12. 572

    A Novel Optimized Hybrid VMD-PCA-XGBoost Model for Forecasting Precipitation: Exemplified by the Beijing-Tianjin-Hebei Study Region in China by Qiaoli Kong, Qian Li, Qi Bai, Xiaolong Mi, Joseph Awange, Shi Wang, Yi Yang, Guoli Bo

    Published 2025-01-01
    “…In this study, we propose a novel hybrid model, variational mode decomposition-principal component analysis-extreme gradient boosting (VMD-PCA-XGBoost), which integrates VMD for effective signal processing, PCA for dimensionality reduction, and XGBoost for enhancing predictive accuracy. …”
    Get full text
    Article
  13. 573

    An integrated framework for multi-commodity agricultural price forecasting and anomaly detection using attention-boosted models by Eko Sediyono, Kristoko Dwi Hartomo, Christian Arthur, Intiyas Utami, Ronny Prabowo, Raymond Chiong

    Published 2025-08-01
    “…To bridge the gap, this study proposes a deep learning framework that integrates Transformer models for price prediction and an attention-boosted LSTM Variational Autoencoder (VAE) for anomaly detection. …”
    Get full text
    Article
  14. 574
  15. 575

    Real-Time Monitoring Method and Circuit Based on Built-In Reliability Prediction by Wenke Ren, Yanning Chen, Xiaoming Li, Xinjie Zhou, Baichen Song, Tianci Chang

    Published 2024-12-01
    “…The failure of different chips under working conditions is influenced by various stress states such as different voltages, temperatures, stress durations, and stress variations. Therefore, the failure time has a great degree of dispersion, and similar chips may exhibit different failure mechanisms due to variations in their working environments. …”
    Get full text
    Article
  16. 576

    A Fast Analytical Method for Elastic–Plastic Analysis of Threaded Connections by Carlo Brutti, Corrado Groth, Marco Evangelos Biancolini

    Published 2025-06-01
    “…In addition, the comparison with results available in the literature further supports the reliability of the proposed method. Its robustness to variations in geometry, friction, and thread count positions it as a foundation for reduced-order models, ready for integration into complex finite element frameworks commonly used in structural health monitoring and digital twin technologies.…”
    Get full text
    Article
  17. 577

    QUADRATURE COMPONENTS FORMING METHOD FOR HOMODYNE ACOUSTO-OPTIC SPECTRUM ANALYZER by L. A. Aronov, V. N. Ushakov

    Published 2019-04-01
    “…The second method forms the necessary distributions sequentially in three accumulation cycles by means of variation of the initial phase of the reference signal. …”
    Get full text
    Article
  18. 578

    Assessment of Agro-Morphological and Yield-Related Traits of Vijay Wheat (Triticum aestivum L.) Variety Under Different Ploughing and Non-Ploughing Techniques by Md. Shamshad Ansari, Manoj Joshi, Binod Yadav, Bishnu Yadav

    Published 2025-03-01
    “…The results revealed significant variations among tillage practices. The Cultivator + Rotavator + Seed sowing method produced the highest grain yield (4.060 t/ha), outperforming other treatments. …”
    Get full text
    Article
  19. 579
  20. 580