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  1. 281
  2. 282

    A Sparse Variable Step-Size Least-Mean-Square Algorithm for Impulsive Noise in a Code-Division Multiple Access System by Mohammad Salman, Ahmed A. F. Youssef, Fahmi Elsayed, Mostafa Rashdan

    Published 2025-01-01
    “…For instance, the cost function is inadequately described when impulsive noise is present, making it impossible for the LMS approach to correctly identify the system. …”
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  3. 283

    A Grover-Meets-Simon Approach to Match Vector Boolean Functions by Marco Venere, Alessandro Barenghi, Gerardo Pelosi

    Published 2025-01-01
    “…In fact, the <italic>library-mapping</italic> step of an EDA workflow requires matching parts of the gate-level design (<italic>netlist</italic>) with the components available in a technology library, considering them as Boolean functions, while taking into account that permutations and negations of input variables can be efficiently implemented through rewiring and the use of inverters. …”
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  4. 284

    Constructing the Lyapunov Function through Solving Positive Dimensional Polynomial System by Zhenyi Ji, Wenyuan Wu, Yong Feng, Guofeng Zhang

    Published 2013-01-01
    “…First, positive polynomial system is obtained via the local property of the Lyapunov function as well as its derivative. Then, the positive polynomial system is converted into an equation system by adding some variables. …”
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  5. 285

    A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter by Hyun-Gyu Koh, Hyeon-Joon Ko, Yeong-Jun Choi

    Published 2023-01-01
    “…However, since ON/OFF of the switch is determined through model-based cost function comparison, the switching frequency is variable and a separate modulator is not used. …”
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  6. 286
  7. 287

    A new method for routing protocols using hybrid fuzzy clustering in UWSNs by Xiaoju Wang, Bin Meng, Xuexu Yuan, Junwei Zhao

    Published 2025-06-01
    “…Besides, the new scheme improved energy variance by 40% at nodes to prolong the network lifetime and maintain a higher throughput in conditions of variable network load. This fuzzy clustering technique stands apart because it tries to overcome UWSN-specific challenges using adaptive data aggregation along with multistep communication and hence is more resistant and energy-efficient compared to the conventional protocols.…”
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  8. 288

    Impact of vertebral derotation on ventilatory function and chest circumference in adolescent scoliosis by Khaled Takey Ahmed, Abla Mohammed Hamed, Akram Mohamed Helmy, Walaa Mohsen Mohamed, Heba A. Bahey El - Deen, Youssry El Hawary

    Published 2025-03-01
    “…Introduction Scoliosis has been associated with thoracic cavity alterations that impair pulmonary function. Correcting scoliotic deformity regains normal pulmonary function by maintaining respiratory and muscular efficiency. …”
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  9. 289
  10. 290

    Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs by Weiyi Feng, Yubin Lan, Hongjian Zhao, Zhicheng Tang, Wenyu Peng, Hailong Che, Junke Zhu

    Published 2024-10-01
    “…Furthermore, the research conducted principal component analysis (PCA) and membership function analysis on the predicted values of the optimal models for each indicator, established a comprehensive evaluation index for high photosynthetic efficiency, and employed cluster analysis to screen the test materials. …”
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  13. 293

    Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques by Jafar Chabokpour

    Published 2024-09-01
    “…This now leads to a maximum Nash-Sutcliffe Efficiency of 0.91 for the Saint-Venant equations during the 2019 flood event, followed by ANN with 0.89, ANFIS with 0.87, SVM with 0.85, and lastly, Transfer Function with 0.78. …”
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  14. 294

    Cross-subject affective analysis based on dynamic brain functional networks by Lifeng You, Tianyu Zhong, Erheng He, Xuejie Liu, Qinghua Zhong

    Published 2025-04-01
    “…However, due to inter-subject variability and non-smoothness of EEG signals, the generalization performance of models across subjects remains a challenge.MethodsIn this study, we proposed a novel approach that combines time-frequency analysis and brain functional networks to construct dynamic brain functional networks using sliding time windows. …”
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  15. 295

    Fuzzy Logic Technique Based on Classification Function Application in Quality Control by Salman Hussien Omran, Salam Waley Shneen, Batool Ibrahim Jameel, Omar Hassoon, Mohammed A. Fayad, Firas Basim Ismail

    Published 2025-01-01
    “…Fuzzy control charts were used to quickly and accurately identify the production specifications and efficiency. This work uses the triangle membership function to generate fuzzy numbers, which are then transformed into quality control charts for the real data obtained using the proposed ranking function. …”
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  16. 296

    Novel Pythagorean fuzzy score function to optimize fuzzy transportation models by Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Nitesh Dhiman, M.K. Sharma

    Published 2025-03-01
    “…Through comprehensive numerical analysis, In Type-1 IVPFTP the cost dropped from 5.19 to 0.675, for Type-2 IVPFTP cost dropped from 0.2615 to 0.001869 and for Type-3 IVPFTP cost dropped from0.17435 to 0.0013879.Thereafter, it was observed that the proposed score function provides a more optimal transportation cost.Also, our findings demonstrate the significant cost reductions and improved decision-making capabilities across different types of IVPFTP models to highlight the efficiency of the proposed score function in handling uncertainty within the transportation problems.…”
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  17. 297

    An Efficient Petrov–Galerkin Scheme for the Euler–Bernoulli Beam Equation via Second-Kind Chebyshev Polynomials by Youssri Hassan Youssri, Waleed Mohamed Abd-Elhameed, Amr Ahmed Elmasry, Ahmed Gamal Atta

    Published 2025-01-01
    “…To make PGM application easier, explicit formulas for the inner product between these basis functions and their derivatives with second-kind Chebyshev polynomials are derived. …”
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  18. 298

    Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

    Published 2025-06-01
    “…Proper training and inference occur in resource-limited settings for SOResNet, thanks to combining learning rate variables and different loss functions. Compared to the conventional method, SOResNet data smoothing saves 2 % of CPU, 2.5 % of electricity and 3 % in energy overhead. …”
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  19. 299

    Efficient discovery of large magnetic anisotropy with thermodynamically stable materials via multi-objective Bayesian optimization by Kohei Nakamura, Daigo Furuya, Yoshio Miura, Takahiro Yamazaki, Alexandre Lira Foggiatto, Yuma Iwasaki, Masato Kotsugi

    Published 2025-12-01
    “…This study presents an efficient magnetic material exploring method with large magnetocrystalline anisotropy (MCA) and thermodynamic stability by combining multi-objective Bayesian optimization (MBO) with first-principles calculations. …”
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  20. 300

    Optimizing Energy and Spectral Efficiency in Mobile Networks: A Comprehensive Energy Sustainability Framework for Network Operators by Luis Mata, Marco Sousa, Pedro Vieira, Maria Paula Queluz, Antonio Rodrigues

    Published 2025-01-01
    “…An additional analysis, based on domain expertise, provided evidence of potential causal relationships between the class and observed variables involving channel quality, Multiple Input Multiple Output (MIMO) utilisation, network topology and energy-saving functionalities. …”
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