Showing 321 - 340 results of 1,136 for search '((complement OR implement) OR implementing) component 3 efficiency', query time: 0.17s Refine Results
  1. 321

    Enhanced Three-Axis Frame and Wand-Based Multi-Camera Calibration Method Using Adaptive Iteratively Reweighted Least Squares and Comprehensive Error Integration by Oleksandr Yuhai, Yubin Cho, Ahnryul Choi, Joung Hwan Mun

    Published 2024-09-01
    “…By integrating static error components (3D coordinate, distance, angle, and reprojection errors) with dynamic wand distance errors, the proposed comprehensive cost function facilitates precise multi-camera parameter calculations. …”
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    The Development and Evaluation of a Low-Emission, Fuel-Flexible, Modular, and Interchangeable Solid Oxide Fuel Cell System Architecture for Combined Heat and Power Production: The... by Enrico Bocci, Alessandro Dell’Era, Carlo Tregambe, Giacomo Tamburrano, Vera Marcantonio, Francesca Santoni

    Published 2025-04-01
    “…These findings were instrumental in the development of the Piping and Instrumentation Diagram (P&ID) required for the design and implementation of the real system. The proposed SOFC system represents a cost-effective and adaptable energy conversion solution, contributing to the advancement of high-efficiency and low-emission power generation technologies.…”
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  4. 324

    Research on Three-Axis Vibration Characteristics and Vehicle Axle Shape Identification of Cement Pavement Under Heavy Vehicle Loads Based on EMD–Energy Decoupling Method by Pengpeng Li, Linbing Wang, Songli Yang, Zhoujing Ye

    Published 2025-06-01
    “…EMD successfully decomposed the complex signals into discrete intrinsic mode functions (IMFs), identifying high-frequency components (IMF1–IMF3) associated with transient vehicular impacts, mid-frequency components (IMF4–IMF6) presumably linked to structural and vehicle dynamics, and low-frequency components (IMF7–IMF9) representing system trends or ambient noise. …”
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    Computational insights into magnetohydrodynamic flow of Cu–Al2O3/H2O hybrid nanofluid: Impact of heat generation, Newtonian heating and surface nonlinearity by Siva Nageswara Rao Thottempudi, Jithender Reddy Gurejala, Raja Shekar Pemmaraju, Manideep Pampera

    Published 2025-10-01
    “…A computational finite difference technique with the three-stage Lobatto IIIa formula was implemented through MATLAB software to explore the hybrid nanofluids. …”
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    Optimized Water Management Strategies: Evaluating Limited-Irrigation Effects on Spring Wheat Productivity and Grain Nutritional Composition in Arid Agroecosystems by Zhiwei Zhao, Qi Li, Fan Xia, Peng Zhang, Shuiyuan Hao, Shijun Sun, Chao Cui, Yongping Zhang

    Published 2025-05-01
    “…While yield components and total water consumption exhibited linear increases with irrigation inputs, grain yield demonstrated a parabolic response, reaching maxima under W2 (29.3% increase over W0) and W3 (29.1%), whereas water use efficiency (WUE) displayed a distinct inverse trend, with W2 achieving the optimal balance (4.6% reduction vs. …”
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    Bridge Geometric Shape Measurement Using LiDAR–Camera Fusion Mapping and Learning-Based Segmentation Method by Shang Jiang, Yifan Yang, Siyang Gu, Jiahui Li, Yingyan Hou

    Published 2025-04-01
    “…The main contributions include the following: (1) A synchronized LiDAR–camera fusion system integrated with an unmanned aerial vehicle (UAV) and a microprocessor was developed, enabling the flexible and large-scale acquisition of bridge images and point clouds; (2) A multi-sensor fusion mapping method coupling visual-inertial odometry (VIO) and Li-DAR-inertial odometry (LIO) was implemented to construct 3D bridge point clouds in real time robustly; and (3) An instance segmentation network-based approach was proposed to detect key structural components in images, with detected geometric shapes projected from image coordinates to 3D space using LiDAR–camera calibration parameters, addressing challenges in automated large-scale point cloud analysis. …”
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    Early detection of Alzheimer’s disease in structural and functional MRI by Rudrani Maity, Vellupillai Mariappan Raja Sankari, Umapathy Snekhalatha, Umapathy Snekhalatha, Shubashini Velu, Tahani Jaser Alahmadi, Zaid Ali Alhababi, Hend Khalid Alkahtani

    Published 2024-12-01
    “…Ventricles and hippocampus are segmented using a Deep-Residual-UNet and Deep labV3+ system. The functional features were extracted from each segmented component and classified using SVM, Adaboost, Logistic regression, and VGG 16, DenseNet-169, VGG-16-RF, and VGG-16-SVM classifier.ResultsThis research proposes a precise and efficient deep-learning architecture like DeepLab V3+ and Deep Residual U-NET for hippocampus and ventricle segmentation in detection of AD. …”
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  19. 339

    Preliminary Assessment of Geometric Variability Effects Through a Viscous Through-Flow Model Applied to Modern Axial-Flow Compressor Blades by Arnaud Budo, Jules Bartholet, Thibault Le Men, Koen Hillewaert, Vincent E. Terrapon

    Published 2025-04-01
    “…Because numerical simulations based on Reynolds-averaged Navier–Stokes (RANS) equations are computationally expensive for a stochastic analysis, an alternative approach is proposed in which these simulations are complemented by cheaper through-flow simulations to provide a finer exploration of the range of variations, in particular in the context of robust design. …”
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