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  1. 61

    Modeling and numerical simulation of Maxwell nanofluid flow with heat generation and convective heating: a combined Adomian decomposition method and Mohand transform by M. M. Khader, M. Adel, Mohammed Messaoudi

    Published 2025-05-01
    “…The study closely examines the effects of heat source terms and viscous forces on the development of the thermal boundary layer (BL) and how convective boundary conditions contribute to increased heat and mass transfer. The modified decomposition method (MDM) combines the Mohand transform and Adomian decomposition method (ADM) to solve complex equations numerically, yielding a convergent series solution. …”
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  2. 62

    Approximate Solution of the Fractional Order Sterile Insect Technology Model via the Laplace–Adomian Decomposition Method for the Spread of Zika Virus Disease by William Atokolo, Remigius Okeke Aja, Stephen Ekwueme Aniaku, Ifeanyi Sunday Onah, Godwin C. E. Mbah

    Published 2022-01-01
    “…We employed the use Laplace–Adomian decomposition method (LADM) to determine an analytical (approximate) solution of the model. …”
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  3. 63

    Modelling and Mechanical Characterization of a Metamaterial Inspired by the Spinodal Decomposition by Barbara Mandolesi, Christian Iandiorio, Valerio G. Belardi, Francesco Vivio

    Published 2025-03-01
    “…The diffusion process of the binary mixture is modeled using the Cahn–Hilliard equation, which is typically approached with a statistical method (superimposition of Gaussian random fields) that is well founded only for its initial stages. …”
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    A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index by Jawaria Nasir, Hasnain Iftikhar, Muhammad Aamir, Hasnain Iftikhar, Paulo Canas Rodrigues, Mohd Ziaur Rehman

    Published 2025-07-01
    “…It incorporates LMD (Local Mean Decomposition), SD (Signal Decomposition), and sophisticated machine learning methods. …”
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  8. 68

    Effects of termites growth on litter decomposition: a modeling approach by Abdourhimou Amadou Issoufou, Idrissa Soumana, Garba Maman, Souleymane Konate, Ali Mahamane

    Published 2024-01-01
    “…We aimed at building a termite population growth model which could deal with one substrate. Methods Our model divides the decomposition/growth process at the population level. …”
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    An Efficient Discrete Element Method-Enhanced Mesoscale Modeling Method for Multi-Phase Concrete-like Composites with High Volume Fraction by Penghao Qiu, Lei Yang, Chengjia Huang, Jinzhu Hu, Qingxiang Meng

    Published 2025-05-01
    “…A novel discrete element method (DEM)-enhanced external force-free method for multi-phase concrete-like composite modeling with an interface transition zone (ITZ) is presented in this paper. …”
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  13. 73

    Crack Propagation Behavior Modeling of Bonding Interface in Composite Materials Based on Cohesive Zone Method by Yulong Zhu, Yafen Zhang, Lu Xiang

    Published 2025-05-01
    “…To elucidate the fracture propagation mechanisms at composite material interfaces, this study implements the cohesive zone method (CZM) to numerically simulate interfacial cracking behavior in two material systems: glued laminated timber (GLT) and reinforced concrete (RC). …”
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    Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition by Mu ZHOU, Yuexin LONG, Qiaolin PU, Yong WANG, Wei HE

    Published 2021-11-01
    “…Aiming at the problem that as the scale of the fingerprint database increases, the training cost and processing complexity of CSI fingerprints will also greatly increase, an indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition was proposed.Firstly, the tensor decomposition algorithm based on the PARAFAC (parallel factor) analysis model and the ALS (alternate least squares) iterative algorithm were combined to reduce the interference of the environment.Then, the tensor wavelet decomposition algorithm was used to extract the feature and obtain the CSI fingerprint.Finally, a localization model was established based on the PLSR (partial least squares regression) algorithm to realize the location estimation.Experimental results show that the confidence probability of the proposed method is 94.88% within 4 m localization error, which verifies that the proposed method has good localization performance while fitting the relationship between CSI location fingerprints and location coordinates.…”
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  17. 77

    Evaluation method of snow melting performance of composite anti-icing and snow melting asphalt mixture by Wei Zhang, Kaibo Yang, Renshan Chen, Changlin Hou

    Published 2025-09-01
    “…In this paper, the road performance and ice and snow melting performance of TH-ME5 phase change material and T-SEN salt release material composite asphalt concrete pavement are studied. Through experimental analysis, it provides reference for the design and application of composite pavement. …”
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