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  1. 13701

    Automated Design and Parametric Modeling of Excavator Buckets by Nikolay Stankov, Aleksandar Ivanov

    Published 2025-03-01
    “…Using the presented methodology leads to a reduction in the volume of created documentation and optimizes the design process, providing the opportunity for rapid adaptation to various client requirements. …”
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    Article
  2. 13702
  3. 13703

    Impact of TMDI on pounding mitigation of insufficiently separated buildings exposed to earthquakes with varying frequencies by Ayman Abd-Elhamed, Sayed Mahmoud, Alaa Sherif, Haytham Essam Amin

    Published 2025-06-01
    “…In addition, the frequency content of the applied earthquake records is an important parameter in dictating the response reduction.…”
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  4. 13704

    Optimal Coordination of Directional Overcurrent Relays Using an Exponential-Based Non-Standard Characteristic and the Nutcracker Optimizer by Alişan Ayvaz

    Published 2025-06-01
    “…Especially, the results demonstrate that the exponential-based non-standard relay characteristic used in the proposed method achieves approximately a 67% reduction in relay operating times compared to the standard relay characteristic (normally inverse) for the IEEE 15-bus system.…”
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  5. 13705

    ANALYSIS AND IMPLEMENTATION OF A CRYPTOSYSTEM BASED ON NON-INJECTIVE KNAPSACKS by Maria Sabina A. Volkov

    Published 2025-07-01
    “…To control the complexity of the decryption algorithm, methods are proposed to limit the average number of solutions to the knapsack problem. …”
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    Article
  6. 13706

    PUMPING PRESSURE AND FLOW RATE RELATIONSHIP TO REDUCE ENERGY CONSUMPTION IN IRRIGATION SYSTEMS by Esmeralda CHIORESCU

    Published 2023-02-01
    “…The implementation of (p-Q)c in the SCADA system software at PPS 2 in the Trifești-Sculeni irrigation system, in the eastern part of Romania, determined a reduction of energy consumption by up to 16%.…”
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    Article
  7. 13707

    Analysis of Bridge Health Detection Based on Data Fusion by Ying Chen, Jiuhong Zhang, Yanfeng Li, Jialong Li

    Published 2022-01-01
    “…A rough neural network algorithm integrating the rough set and neural network was applied to data fusion of the database, with the attribute-reduction function of the rough set used to reduce the input dimension of the neural network. …”
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    Article
  8. 13708

    KICA-DPCA-Based Fault Detection of High-Speed Train Traction Motor Bearings by Yunkai Wu, Yu Tian, Yang Zhou

    Published 2025-06-01
    “…Finally, the proposed algorithm is validated on both simulation data from the Traction Drive Control System-Fault Injection Benchmark (TDCS-FIB) platform and experimental data from the Case Western Reserve University bearing fault dataset. …”
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    Article
  9. 13709

    Finite Element Model Fractional Steps Updating Strategy for Spatial Lattice Structures Based on Generalized Regression Neural Network by Caiwei Liu, Jijun Miao, Changyong Zhao

    Published 2016-01-01
    “…Secondly, the value of stiffness reduction factor (ar) was limited in the range of [0.2,0.8] and the reference value (ar0) of it was suggested to be 0.5 based on referenced literatures. …”
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  10. 13710

    Trajetórias de desmatamento e de uso do solo em uma região dendeícola na Amazônia oriental. by César Teixeira Donato de Araújo, Eraldo Aparecido Trondoli Matricardi, Lívia de Freitas Navegantes-Alves

    Published 2020-05-01
    “…Supervised classification and Landsat imagery acquired between 1985 and 2015 were used in this analysis, with the Maximum Likelihood algorithm use. The classes forest, secondary forest, exposed soil, farming, natural fields, oil palm and water were considered. …”
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    Article
  11. 13711

    Scalable THz Network-On-Chip Architecture for Multichip Systems by Esmaeel Tahanian, Alireza Tajary, Mohsen Rezvani, Mansoor Fateh

    Published 2020-01-01
    “…To shorten the length of intra- and interchip THz links, the optimum configuration is determined by leveraging the multiobjective simulating annealing (SA) algorithm. Finally, we compare the performance of the proposed THz multichip NoC with a conventional millimeter-wave one. …”
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    Article
  12. 13712

    Hybrid Damping Mode MR Damper: Development and Experimental Validation with Semi-Active Control by Jeongwoo Lee, Kwangseok Oh

    Published 2025-05-01
    “…Experimental validation on a mid-sized sedan demonstrated significant improvements, including a 30–40% reduction in vertical acceleration and pitch/roll rates. …”
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    Article
  13. 13713

    2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis by Benchao Li, Yuanyuan Zheng, Ruisheng Ran

    Published 2025-01-01
    “…The currently popular manifold learning dimensionality reduction algorithm, Uniform Manifold Approximation and Projection (UMAP), effectively extract complex nonlinear relationships in fault diagnosis data while preserving both local and global structures. …”
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    Article
  14. 13714

    Power Enhancement under Partial Shading Condition Using a Two-Step Optimal PV Array Reconfiguration by Mohamad Hossien Nahidan, Mehdi Niroomand, Behzad Mirzaeian Dehkordi

    Published 2021-01-01
    “…As a result, a mismatch between the modules, a reduction in the power generated, and the hotspot phenomenon will be observed. …”
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    Article
  15. 13715

    Research on Feature Extraction Method and Process Optimization of Rolling Bearing Faults Based on Electrostatic Monitoring by Ruochen Liu, Han Yin, Jianzhong Sun, Lanchun Zhang

    Published 2025-04-01
    “…The method maintains fast convergence while analysing the extraction effect by comparing the measured signals of rolling bearing outer ring and bearing roller faults with the traditional StOMP algorithm, and the results show that the CcStOMP algorithm has obvious advantages in accurately extracting the fault features in the electrostatic monitoring signals of rolling bearings.…”
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    Article
  16. 13716

    Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

    Published 2025-05-01
    “…Comprehensive experimental validation demonstrates the performance of the algorithm in a variety of test scenarios. The method tracked MTS vibrations with 97% accuracy in a laboratory environment, and the robustness of the environment was confirmed by successful noise reduction using a dedicated noise-suppression algorithm under camera-induced interference conditions. …”
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    Article
  17. 13717

    Energy Efficient Indivisible Workload Distribution in Geographically Distributed Data Centers by Muhammad Imran Khan Khalil, Iftikhar Ahmad, Abdulwahab Ali Almazroi

    Published 2019-01-01
    “…In this paper, we propose a green geographical load balancing (GreenGLB) online algorithm based on the greedy algorithm design technique for the interactive and indivisible workload distribution. …”
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    Article
  18. 13718

    Computer Vision-Based Concrete Crack Identification Using MobileNetV2 Neural Network and Adaptive Thresholding by Li Hui, Ahmed Ibrahim, Riyadh Hindi

    Published 2025-02-01
    “…These cracks can potentially introduce harmful agents into concrete, resulting in a reduction in the overall lifespan of concrete structures. …”
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    Article
  19. 13719

    Joint Optimization of Berths and Quay Cranes Considering Carbon Emissions: A Case Study of a Container Terminal in China by Houjun Lu, Xiao Lu

    Published 2025-01-01
    “…Numerical experiments using actual data from a container terminal demonstrate the effectiveness and superiority of the PSO-GA algorithm compared to the traditional GA and PSO. The results show a reduction in total operational costs by 24.1% and carbon emissions by 15.3%, highlighting significant potential savings and environmental benefits for port operators. …”
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    Article
  20. 13720

    Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

    Published 2024-02-01
    “…This review aims to present the progress and perspectives on the effective utilization of novel machine learning paradigms for three major building energy management tasks, i.e., building energy predictions, fault detection and diagnosis, and control optimizations. …”
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