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Showing 341 - 360 results of 3,710 for search 'Variational integration method', query time: 0.13s Refine Results
  1. 341

    From Envelope Spectra to Bearing Remaining Useful Life: An Intelligent Vibration-Based Prediction Model with Quantified Uncertainty by Haobin Wen, Long Zhang, Jyoti K. Sinha

    Published 2024-11-01
    “…This work leverages variational neural networks to model bearing degradation behind envelope spectra. …”
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    Article
  2. 342

    Generative AI for Analog Integrated Circuit Design: Methodologies and Applications by Danial Noori Zadeh, Mohamed B. Elamien

    Published 2025-01-01
    “…In this systematic review, we discuss recent contributions in the last five years, highlighting methods that address data scarcity, topology exploration, process-voltage-temperature (PVT) variations, and layout parasitics. …”
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    Article
  3. 343
  4. 344

    Designing for Engagement: A Mixed-Methods Study of AR and Concept Mapping Method in Mobile Vocabulary Learning by Shuo-Fang Liu, An Yu Su, Yi Chieh Wu, Sheng-Fei Chien

    Published 2025-01-01
    “…This study investigates the effectiveness of integrating augmented reality (AR) and concept mapping method in English vocabulary learning and proposes a design thinking-based development framework for learning systems. …”
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    Article
  5. 345

    A hybrid model for short-term offshore wind power prediction combining Kepler optimization algorithm with variational mode decomposition and stochastic configuration networks by Bingbing Yu, Yonggang Wang, Jun Wang, Yuanchu Ma, Wenpeng Li, Weigang Zheng

    Published 2025-07-01
    “…To enhance the stability and accuracy of wind power forecasting, a hybrid model integrating Kepler optimization algorithm (KOA), variational mode decomposition (VMD), and stochastic configuration network (SCN) is proposed. …”
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    Article
  6. 346

    Integrating phylodynamics and epidemiology to estimate transmission diversity in viral epidemics. by Gkikas Magiorkinis, Vana Sypsa, Emmanouil Magiorkinis, Dimitrios Paraskevis, Antigoni Katsoulidou, Robert Belshaw, Christophe Fraser, Oliver George Pybus, Angelos Hatzakis

    Published 2013-01-01
    “…Here we describe a novel method that combines epidemiological and population genetic approaches to estimate the variation in transmissibility of rapidly-evolving viral epidemics. …”
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    Article
  7. 347

    Photoacoustic Imaging with a Finite-Size Circular Integrating Detector by Shan Gao, Xili Jing, Mengyu Fang, Jingru Zhao, Tianrun Zhang

    Published 2025-04-01
    “…However, in circular integrating detection systems, the PSF exhibits spatial variations. …”
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    Article
  8. 348
  9. 349

    Integrating quantitative knowledge into a qualitative gene regulatory network. by Jérémie Bourdon, Damien Eveillard, Anne Siegel

    Published 2011-09-01
    “…Nonetheless, it is not capable of taking into account available quantitative information such as time-series protein concentration variations. The present work proposes a probabilistic modeling framework that integrates both kinds of information. …”
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    Article
  10. 350

    Assessing species interactions using integrated predator-prey models by Paquet, Matthieu, Barraquand, Frédéric

    Published 2023-11-01
    “…However, there is no evaluation of such models when interactions are actually absent---while any interaction inference method runs the risk of producing false positives. …”
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    Article
  11. 351
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  14. 354

    Integrated analysis of exosome-related genes and their role in psoriasis pathogenesis by Zhen Wang, Fang Luo

    Published 2025-06-01
    “…ObjectiveThis study aimed to analyze gene expression data from psoriasis and control samples, focusing on identifying exosome and cell senescence genes, integrating datasets, and validating batch effect removal using principal component analysis (PCA).MethodsWe analyzed gene expression profiles from Gene Expression Omnibus (GEO) to identify significant differences between healthy and diseased tissues. …”
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  15. 355

    MODELING OF BUSINESS PROCESSES FOR MANAGING INTEGRATIVE DIGITAL DEVELOPMENT OF ENTERPRISES by Оlena V. Vynogradova, Svitlana V. Lehominova, Aliona Yu. Goloborodko, Tetiana I. Nosova

    Published 2025-01-01
    “…It has been proven that the development of information and communication services enterprises is of strategic importance for the complementary growth of all sectors of the Ukrainian economy and serves as a platform for boosting and advancing proactive business segments overall. The fundamental methods for modeling business process flows using mathematical and analytical tools, specifically a system of differential equations with defined initial conditions, have been substantiated, enabling the integral assessment of enterprise business process modeling. …”
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    Article
  16. 356

    Detection and tracking of carbon biomes via integrated machine learning by S. Mohanty, S. Mohanty, L. Patara, D. Kazempour, P. Kröger

    Published 2025-03-01
    “…<p>In the framework of a changing climate, it is useful to devise methods capable of effectively assessing and monitoring the changing landscape of air–sea CO<span class="inline-formula"><sub>2</sub></span> fluxes. …”
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  17. 357
  18. 358

    PTCTV-KMC: Infrared Small Target Detection Using Joint Partial Tensor Correlated Total Variation and K-Means Clustering by Zixu Huang, Erwei Zhao, Wei Zheng, Yan Wen, Xiaodong Peng, Wenlong Niu, Zhen Yang

    Published 2025-01-01
    “…To address this issue, we propose a joint partial tensor correlated total variation and <italic>k</italic>-means clustering (PTCTV-KMC) method that integrates local and global features. …”
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  19. 359
  20. 360

    Cosmic-Ray Neutron Sensor Backpack for Assessing Spatial and Temporal Variations in Soil Water Content in an Agroforestry System in Northern Spain by Leticia Gaspar, Trenton E. Franz, Ana Navas

    Published 2025-03-01
    “…The results show that the CRNS backpack effectively captures spatial and temporal SWC variations. The CRNS method demonstrated advantages over point-scale sensors by providing integrated measurements at an intermediate scale, while Sentinel-2 data offered valuable insights into moisture variability through vegetation response. …”
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    Article