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  1. 1581

    DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

    Published 2025-01-01
    “…Then, a time-series decomposition method splits the data into seasonal and trend components. …”
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    Article
  2. 1582

    Application of KTA-KELM in Fault Diagnosis of Rolling Bearing by Zhuo Wang, Wenjun Zhao, Tao Ma, Zhijun Li, Bo Qin

    Published 2019-06-01
    “…In the process of data-driven rolling bearing state identification model construction,the improper selection of the radial width parameter σ of the Gaussian kernel function in the Kernel Extreme Learning Machine(KELM)algorithm is very easy to cause poor classification accuracy. …”
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    Article
  3. 1583

    Comprehensive Framework of Major Power Project Management Based on System Thinking by Xue-Wen Zhu, Ai-Hua Pei, Fei Peng, Nan-Nan Xue, Wei Zhang

    Published 2022-01-01
    “…Then, by combining the G1 method with the cloud model, a new way of management performance evaluation of power projects is provided. …”
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    Article
  4. 1584

    Spatiotemporal Coupling Characteristics and Interactive Effects of Government Environmental Governance, Green Finance, and Carbon Emission Performance in the Yangtze River Delta Ur... by Qi Sun, Changjun Jiang, Xinyue Zheng

    Published 2025-08-01
    “…In addition, a coupling coordination model, Dagum Gini coefficient decomposition method, and a panel vector autoregression (PVAR) model are used for in-depth analysis. …”
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    Article
  5. 1585

    Ranking Spreaders in Complex Networks Based on the Most Influential Neighbors by Zelong Yi, Xiaokun Wu, Fan Li

    Published 2018-01-01
    “…We apply the classical Susceptible-Infected-Recovered (SIR) model to verify the performance of our method. The experimental results on both real and artificial networks show that the proposed method can quantify the node influence more accurately than degree centrality, betweenness centrality, closeness centrality, and k-shell decomposition method.…”
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    Article
  6. 1586

    Computational and Numerical Solutions for 2+1-Dimensional Integrable Schwarz–Korteweg–de Vries Equation with Miura Transform by Raghda A. M. Attia, S. H. Alfalqi, J. F. Alzaidi, Mostafa M. A. Khater, Dianchen Lu

    Published 2020-01-01
    “…The extended simplest equation method, the sech-tanh method, the Adomian decomposition method, and cubic spline scheme are employed to obtain distinct formulas of solitary waves that are employed to calculate the initial and boundary conditions. …”
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    Article
  7. 1587

    Functional data analysis in forecasting Serbian fertility by Nikitović Vladimir

    Published 2011-01-01
    “…One of the most important benefits of the method reflected in confirmation that is essentially to model and forecast more than one principal component in order to adequately address sources of variation in fertility. …”
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    Article
  8. 1588

    Frequency-Dependent Scaling Factors to Estimate Multiple Time-Period Global Mass Changes Observed by GRACE/GRACE-FO by Zhenran Peng, Linsong Wang, Qing Liang, Chao Chen

    Published 2025-01-01
    “…This study presents a novel method for computing frequency-dependent scaling factors (FDSFs) using spherical harmonic decomposition of GRACE/GRACE-FO Level-2 data at full frequency. …”
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    Article
  9. 1589

    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
    “…In the seed point search stage, a tensor low-rank sparse decomposition model is first used to decompose the IR image into target and background images. …”
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    Article
  10. 1590

    Design a low-noise 5GHz wideband microwave power amplifier using 90nm CMOS technology with area reduction employing an active inductor by Taha Naufal Fadhil, A.Z. Yonis

    Published 2025-07-01
    “…To ensure that the circuit is compatible with the source impedance, methods such as inductive source decomposition and single-stage common source decomposition are employed. …”
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    Article
  11. 1591

    MHD Thin Film Flows of a Third Grade Fluid on a Vertical Belt with Slip Boundary Conditions by Taza Gul, Rehan Ali Shah, Saeed Islam, Muhammad Arif

    Published 2013-01-01
    “…We have solved the governing nonlinear equations of present problems using the traditional Adomian decomposition method (ADM). Particular attention is given to the combined effect of heat and MHD on the velocity field. …”
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    Article
  12. 1592

    Research on cross-provincial power trading strategy considering the medium and long-term trading plan by Sizhe Yan, Weiqing Wang, Xiaozhu Li, Hang He, Xin Zhao

    Published 2024-12-01
    “…Abstract To accommodate China’s electricity market reforms integrating medium and long-term (MLT) transactions and spot transactions, and to boost renewable energy consumption through the spot market, this paper proposes an optimized cross-provincial electricity trading strategy model based on a two-layer game framework. The proposed model incorporates an MLT green certificate contract decomposition method, enabling nested optimization of green certificate contracts and scheduling plans for cross-provincial power transactions. …”
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    Article
  13. 1593

    An End-to-End Relearning Framework for Building Energy Optimization by Avisek Naug, Marcos Quinones-Grueiro, Gautam Biswas

    Published 2025-03-01
    “…Current approaches are limited: physics-based models are expensive and inflexible, while data-driven methods require extensive data collection and ongoing maintenance. …”
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  14. 1594

    Numerical Simulation of Diversion Tunnel Excavation Using GPU-Accelerated Anisotropic Random Fields by Guo-jin Zhu, Yu Ning, Zhi-hao Cui, Nanxiang Hu, Qing-xiang Meng, Chun Zhu

    Published 2023-01-01
    “…With the MATLAB programming control be used to combine the advantages of GPU and CPU computing, the efficient method of generating large numerical model random fields is realized. …”
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    Article
  15. 1595

    Stackelberg Game Based Power Control with Outage Probability Constraints for Cognitive Radio Networks by Helin Yang, Xianzhong Xie, Athanasios V. Vasilakos

    Published 2015-11-01
    “…Then, we apply the Lagrange dual decomposition method to solve this problem, and an efficient iterative algorithm is proposed to search the Stackelberg equilibrium. …”
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    Article
  16. 1596

    Vibration Control of Fractionally-Damped Beam Subjected to a Moving Vehicle and Attached to Fractionally-Damped Multiabsorbers by Hashem S. Alkhaldi, Ibrahim M. Abu-Alshaikh, Anas N. Al-Rabadi

    Published 2013-01-01
    “…Three coupled second-order fractional differential equations are produced and then they are solved by combining the Laplace transform with the decomposition method. The obtained numerical results show that the dynamic response decreases as (a) the number of absorbers attached to the beam increases and (b) the damping-ratios of used absorbers and beam increase. …”
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    Article
  17. 1597

    Pyrolysis Kinetics of Pine Waste Based on Ensemble Learning by Alok Dhaundiyal, Laszlo Toth

    Published 2025-05-01
    “…The supervised machine learning technique was considered to estimate the kinetic parameters associated with the thermal decomposition of the material. Here, the integral as well as differential form of the isoconversional method was used along with the Kissinger method for the maximum reaction rate determination. …”
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  18. 1598

    Identification and Disease Index Inversion of Wheat Stripe Rust and Wheat Leaf Rust Based on Hyperspectral Data at Canopy Level by Hui Wang, Feng Qin, Qi Liu, Liu Ruan, Rui Wang, Zhanhong Ma, Xiaolong Li, Pei Cheng, Haiguang Wang

    Published 2015-01-01
    “…To improve the identification accuracy, it was suggested that a combination model could be constructed with one SVM model and two models built using K-nearest neighbors (KNN) method. …”
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  19. 1599

    Multi-Task Image Restoration Algorithm Under Different Weather Influence Factors by Lingwen Meng, Mingyong Xin, Junwei Zhang, Fu Zou, Qingqing Zhao

    Published 2024-01-01
    “…In the fine-tuning stage, soft prompts are introduced to stimulate the model’s ability to cope with different weather, so as to enhance the generalization ability. …”
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  20. 1600

    Detection Technology for Catenary Stagger Value Based on Acceleration Signals by CHEN Hongming, ZHOU Ning, LU Wenwei, YANG Zixian, CHENG Yao, WANG Dong, ZHANG Weihua

    Published 2025-03-01
    “…Subsequently, the computed indicator and operating speed are used as input features to train, test, and validate an RF model. [Result & Conclusion] The proposed method accurately detects catenary stagger values across various operating speeds, achieving a root mean square error as low as 5.84, outperforming other existing algorithms. …”
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    Article