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    Approximate Solution of Time-Fractional Advection-Dispersion Equation via Fractional Variational Iteration Method by Birol İbiş, Mustafa Bayram

    Published 2014-01-01
    “…This paper aims to obtain the approximate solution of time-fractional advection-dispersion equation (FADE) involving Jumarie’s modification of Riemann-Liouville derivative by the fractional variational iteration method (FVIM). FVIM provides an analytical approximate solution in the form of a convergent series. …”
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    Article
  7. 47

    Energy Characterization Method of Resource-efficient Multiple Voltage Thresholds Sampling by WANG Fei, ZHOU Jiawen, CAI Chao

    Published 2024-11-01
    “…To address this, a resource-efficient multiple voltage thresholds (REMVT) sampling method was proposed. …”
    Article
  8. 48

    Ultimate Compression: Joint Method of Quantization and Tensor Decomposition for Compact Models on the Edge by Mohammed Alnemari, Nader Bagherzadeh

    Published 2024-10-01
    “…A key contribution of this work is a novel layer sensitivity-based rank selection algorithm for tensor decomposition, which outperforms existing methods such as random selection and Variational Bayes Matrix Factorization (VBMF). …”
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    Article
  9. 49

    A novel unified variational finite difference (VFD) solution method for optimal control problems by Amir Norouzzadeh, Nader Nariman-zadeh, Reza Ansari

    Published 2025-05-01
    “…So, the implemented numerical solution is called now as the variational finite difference method. The method of Lagrange multipliers is then utilized for minimization purpose and, as a result, the final set of nonlinear algebraic equations are obtained. …”
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    Article
  10. 50

    Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement by Soheib Takhtardeshir, Roger Olsson, Christine Guillemot, Marten Sjostrom

    Published 2025-01-01
    “…We propose a Variational Autoencoder (VAE)-based framework to disentangle the spatial and angular features of light field images, focusing on fast and efficient compression. …”
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    Article
  11. 51

    The variation rule of TBM tunneling parameters in deep composite strata and the recognition method of boreability grade by Haibin Wang, Guogang Cui, Zhen Shi, Ling Zhang, Chengdeng Gao, Ziwei Ding

    Published 2025-04-01
    “…The results show that: (1) the change characteristics of five main tunneling parameters in different formations are obtained through data preprocessing, and the change trends of tunneling speed and penetration in different formations are consistent, while the change trends of cutter speed, thrust, and torque are opposite to that of penetration. (2) The main tunneling parameters in different formations are analyzed by numerical statistics, and it is found that all of them are normally distributed, and the 25% and 75% position of data distribution is taken to the values of 25% and 75% of the data distribution are given, and the reasonable regulation range of each parameter is given. (3) The two characteristic parameters of thrust factor and tunneling specific energy are introduced to analyze the tunneling energy efficiency of TBM tunneling in different strata, and the variation of the characteristic parameters in a single stratum is small, and the oscillatory nature of them in composite strata is significantly higher than that of a single stratum by a factor ranging from 1.29 to 3.64. (4) The identifying method of the tunneling grade of a strata has been established based on the indicators of the tunneling speed and the energy consumption of tunneling, and a characteristic parameter is proposed to identify the level of the tunneling performance. …”
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  12. 52

    A Novel Variational Bayesian Method with Unknown Noise for Underwater INS/DVL/USBL Localization by Haoqian Huang, Chenhui Dong, Yutong Zhang, Shuang Zhang

    Published 2025-06-01
    “…Subsequently, the posterior information of the system is jointly calculated by employing the variational Bayesian method. Simulations and real trials illustrate that the proposed IW-VACKF can improve the state estimation precision efficiently in the complex underwater environment.…”
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  13. 53

    Variational quantum circuit-based quantum machine learning approach for predicting corrosion inhibition efficiency of pyridine-quinoline compounds by Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono

    Published 2024-06-01
    “…This work used a variational quantum circuit (VQC) in conjunction with a quantitative structure-property relationship (QSPR) model to completely investigate the corrosion inhibition efficiency (CIE) displayed by pyridine-quinoline compounds acting as corrosion inhibitors. …”
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    An efficient method for predicting the morphology of proppant packs based on a surrogate model by Tao ZHANG, Hangyu ZHOU, Yifan ZHANG, Jianchun GUO, Haoran GOU, Tang TANG

    Published 2025-03-01
    “…Accurate prediction of the in-fracture proppant placement patterns can help optimize the fracturing design and improve fracturing efficiency. Currently, experimental and numerical methods are the main approaches for reproducing the proppant accumulation process and placement patterns in fractures. …”
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    Article
  17. 57

    A New Modification of the Reconstruction of Variational Iteration Method for Solving Multi-order Fractional Differential Equations by E. Hesameddini, A. Rahimi

    Published 2016-01-01
    “…In this work, the Reconstruction of Variational Iteration Method (RVIM) technique has been successfully used to solve two types of multi-order fractional differential equations, linear and nonlinear. …”
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    An efficient hybrid conjugate gradient method for unconstrained optimization and image restoration problems by C. Souli, R. Ziadi, I. Lakhdari, A. Leulmi

    Published 2025-03-01
    “…Numerous variations of CG methods have emerged to en-hance computational efficiency and address real-world challenges. …”
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