Showing 1,121 - 1,140 results of 1,986 for search 'Parallel low', query time: 0.09s Refine Results
  1. 1121

    Cold Plasma Heating by Lower Hybrid Waves Excited by Warm Proton Ring Distribution in the Inner Magnetosphere by Bopu Feng, Zhihai Ouyang, Xiongdong Yu, Yangyang Wang, Haimeng Li, Zhou Chen, Ying Xiong, Kemin Tengchen, Meng Zhou, Rongxin Tang, Zhigang Yuan, Xiaohua Deng

    Published 2025-07-01
    “…Abstract In the Earth's magnetosphere, lower hybrid (LH) waves are frequently observed due to their low excitation threshold. These waves exhibit efficient coupling with electrons and ions, leading to electron heating parallel to the background magnetic field and ion heating in the perpendicular direction. …”
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  2. 1122

    Enhancing wind energy efficiency: A study on the power output of shrouded wind turbines for a hydrogen storage system by Seyyed Amirreza Abdollahi, Seyyed Faramarz Ranjbar, Moharam Jafarai, Mir Biuok Ehghaghi, Saman Faramarzi

    Published 2025-06-01
    “…To counteract this, the study suggests using multiple PEME stacks in parallel to enhance both efficiency and hydrogen output.…”
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  3. 1123

    PENGEMBANGAN SISTEM INFORMASI CAGAR BUDAYA (SITARI) SEBAGAI UPAYA PELESTARIAN BUDAYA DI PROVINSI RIAU by Meilany Dewi, Wenda Novayani, Heni Rachmawati, Erzi Hidayat, Muhammad Mahrus Zain

    Published 2025-06-01
    “…The application also adheres to OWASP security standards, with minor low-risk vulnerabilities identified for future improvement. …”
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    Article
  4. 1124

    Acyclic and star coloring parameters of fractal cubic networks by C. Renuga, D. Meiyappan, S. Prabhu, M. Arulperumjothi

    Published 2025-04-01
    “…The hypercube is a versatile network with outstanding qualities that are important for developing extensively in parallel and distributed systems, which include smaller size diameter, recursive structure, symmetry, regularity, low degree, and scalability. …”
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  5. 1125

    Design and Simulation Test of Non-Contact Voltage Sensor by Haojie Peng, Hongwei Liu, Kuo Shang, Gaoyue Li, Liping Zhao

    Published 2025-05-01
    “…Moreover, the experimental analysis of key parameters, such as parallel resistance and capacitance, identifies the optimal parameter combination for low-voltage distribution lines and cables of 10 kV and below. …”
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  6. 1126

    Rain removal method for single image of dual-branch joint network based on sparse transformer by Fangfang Qin, Zongpu Jia, Xiaoyan Pang, Shan Zhao

    Published 2024-12-01
    “…Additionally, since tokens with low relevance in the Transformer may influence image recovery, this study introduces a residual sparse Transformer branch (RSTB) to overcome the limitations of the Convolutional Neural Network’s (CNN’s) receptive field. …”
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  7. 1127

    A Novel Architecture for Addressing the Throughput Bottleneck in Spaceborne Solid-State Recorder for Electromagnetic Spectrum Sensors by Xufeng Li, Li Zhou, Yan Zhu

    Published 2025-01-01
    “…However, the throughput of current high-speed spaceborne solid-state recorders (S-SSR) remains relatively low, making it difficult for the data to be fully stored. …”
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  8. 1128

    Correlation of disease severity with body weight and high fat diet in the FATZO/Pco mouse. by Brian A Droz, Bria L Sneed, Charles V Jackson, Karen M Zimmerman, M Dodson Michael, Paul J Emmerson, Tamer Coskun, Richard G Peterson

    Published 2017-01-01
    “…Consumption of a diet containing high fat, accelerated weight gain in parallel with disease progression. A naturally occurring and significant variation in the body weight of FATZO offspring enables these mice to be identified as low, mid and high body weight groups at a young age. …”
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  9. 1129

    A Novel Neural Network-Based Droop Control Strategy for Single-Phase Power Converters by Saad Belgana, Handy Fortin-Blanchette

    Published 2024-11-01
    “…Managing parallel−connected single−phase distributed generators in low−voltage microgrids is challenging due to the volatility of renewable energy sources and fluctuating load demands. …”
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  10. 1130

    FEMNet: A Feature-Enriched Mamba Network for Cloud Detection in Remote Sensing Imagery by Weixing Liu, Bin Luo, Jun Liu, Han Nie, Xin Su

    Published 2025-07-01
    “…The Mamba-based encoder captures long-range semantic dependencies with linear complexity, while a parallel CNN path preserves spatial detail. To address the semantic inconsistency across feature hierarchies and limited context perception in decoding, we introduce the following two targeted modules: a cross-stage semantic enhancement (CSSE) block that adaptively aligns low- and high-level features, and a multi-scale context aggregation (MSCA) block that integrates contextual cues at multiple resolutions. …”
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  11. 1131

    Value of Diaphragm Ultrasonography for Extubation: A Single-Blinded Randomized Clinical Trial by T. G. Toledo, M. R. Bacci

    Published 2023-01-01
    “…Methods. A randomized, parallel, single-blind, controlled study was conducted on ICU patients undergoing MV. …”
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  12. 1132

    Hybrid Movie Recommendation System With User Partitioning and Log Likelihood Content Comparison by Yongmao Yang, Kampol Woradit, Kenneth Cosh

    Published 2025-01-01
    “…fIn the domain of recommendation systems, matrix decomposition is an effective strategy for mitigating issues related to sparsity and low space utilization. The Alternating Least Squares (ALS) method, in particular, stands out for its ability to process data in parallel, thereby enhancing computational efficiency. …”
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  13. 1133

    Ka-Band Single-Layer High-Efficiency Circular Aperture Microstrip Array Antenna by Shi-Shan Qi, Jun-Jie Zhao, Wen Wu

    Published 2022-01-01
    “…The proposed array antenna is compact in structure and only needs single-layer design, which can achieve high efficiency and low in manufacture cost, which is an excellent candidate for millimeter-wave large-scale array application.…”
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  14. 1134

    Federated Collaborative Learning with Sparse Gradients for Heterogeneous Data on Resource-Constrained Devices by Mengmeng Li, Xin He, Jinhua Chen

    Published 2024-12-01
    “…To train large models on resource-constrained devices, federated split learning allows for parallel training of multiple devices by dividing the model into different devices. …”
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  15. 1135

    Setting the table for rural food access by Abigail Darwin, Nicole Nunoo, Jung Lee, Abigail Borron, Jennifer Thompson

    Published 2024-12-01
    “…In addition to identifying the four mod­els, an unexpected result of this work was uncover­ing subtle yet important differences between Appalachian and Deep South programs that reflect their divergent, yet parallel cultural histories of marginalization and resilience. …”
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  16. 1136

    MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient’s Blood at Three Years Follow-Up, and Gender Correlation by Michele Astolfi, Giulia Zonta, Cesare Malagù, Gabriele Anania, Giorgio Rispoli

    Published 2025-01-01
    “…Therefore, it is crucial to develop and validate innovative low-invasive techniques to detect it before becoming intractable. …”
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  17. 1137

    UWMambaNet: Dual-Branch Underwater Image Reconstruction Based on W-Shaped Mamba by Yuhan Zhang, Xinyang Yu, Zhanchuan Cai

    Published 2025-06-01
    “…Underwater image enhancement is a challenging task due to the unique optical properties of water, which often lead to color distortion, low contrast, and detail loss. At the present stage, the methods based on the CNN have the problem of insufficient global attention, and the methods based on Transformer generally have the problem of quadratic complexity. …”
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  18. 1138

    Impact of the Belt and Road Initiative on Poverty Reduction in Countries along the Route by Wei Ma, Na Bo, Yang Song, Fuwei Qiao

    Published 2022-01-01
    “…In terms of economic location, the effect of poverty reduction has a certain “pro-poverty” characteristic, that is, the BRI promotes poverty reduction in low- and middle-income countries far more than other types of income countries. …”
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  19. 1139
  20. 1140

    Metaheuristics in automated machine learning: Strategies for optimization by Francesco Zito, El-Ghazali Talbi, Claudia Cavallaro, Vincenzo Cutello, Mario Pavone

    Published 2025-06-01
    “…By employing an effective hyperparameter tuning, shallow neural networks might become competitive with their deeper counterparts, which in turn makes them more suitable for low-power consumption applications. In our work, we highlight the importance of Hyperparameter Optimization in enhancing neural network performance. …”
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