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    Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming by Hamed Hojatian, Zoubeir Mlika, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau

    Published 2024-01-01
    “…Hybrid beamforming (HBF) and antenna selection are promising techniques for improving the energy efficiency (EE) of massive multiple-input multiple-output (mMIMO) systems. …”
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  5. 105

    Efficient and provably-secure certificateless sequential aggregate signature scheme by Zhu WANG, Siqi YANG, Fenghua LI, Kui GENG, Tingting PENG, Mengyao SHI

    Published 2022-05-01
    “…Aiming at the problem that current schemes mostly let the latter signer to verify the multiple signatures of the previous signer, and the message is signed and then passed to the next signer, leading to the efficiency problem of long overall signature time.A sequential aggregate signature scheme based on bilinear pairs was proposed.The aggregate signatures of documents were generated by multiple users in a certain order, and only the final signature was needed to be verified to confirm the correct order of signatures and the legitimacy of multiple user signatures.The complexity of verifying the multi-user sequential signature was effectively reduced and the offline verification of the authenticity of signature was realized when the user was offline or in a delay-tolerant network with limited node caching capacity and network resources.It is shown that the proposed scheme is existential unforgeability against chosen-message attacks under adversary adaptive selection messages in the random oracle model.…”
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  6. 106

    Economic and ecological efficiency of adaptive system for fertilising spring barley by I. I. Gureev, A. V. Gostev, L. B. Nitchenko

    Published 2021-10-01
    “…The high efficiency of using complex fertilizers in the cultivation of spring barley has been established. …”
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    Optimizing lightweight neural networks for efficient mobile edge computing by Liu Liu, Zhifei Xu

    Published 2025-07-01
    “…Compared to prior single-agent or heuristic methods, our approach improves scalability and efficiency while reducing computational complexity. …”
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  9. 109

    Computationally Efficient Artifact Suppression for Optical Coherence Tomography Angiography by Wenxin Zhang, Jun Pan, Shiqi Tang, Ning Liu

    Published 2025-01-01
    “…To address this, we propose a computationally efficient image processing technique that simultaneously reduces artifacts to advance clinical OCTA applications. …”
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  10. 110

    A novel Pd complex coated on TiFe2O4 magnetic nanoparticles as an efficient and recoverable catalyst for the synthesis of 5-substituted 1H-tetrazoles by Abdulrahman A. Almehizia, Munthar Kadhim Abosaoda, Anjan Kumar, Vicky Jain, Suhas Ballal, Abhayveer Singh, Karthikeyan Jayabalan, Subhashree Ray, Pranchal Rajput, Ojas Prakashbhai Doshi

    Published 2025-07-01
    “…A novel palladium (Pd) complex was then immobilized on the functionalized TiFe2O4 MNPs, resulting in a magnetically recoverable, highly efficient, and selective nanocatalyst. …”
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  11. 111

    Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics by Shuhao Ma, Yu Cao, Ian D. Robertson, Chaoyang Shi, Jindong Liu, Zhi-Qiang Zhang

    Published 2025-01-01
    “…Computational musculoskeletal modeling has been widely used as a powerful non-invasive tool to estimate them through inverse dynamics using static optimization, but the inherent computational complexity results in time-consuming analysis. In this paper, we propose a knowledge-based deep learning framework for time-efficient inverse dynamic analysis, which can predict muscle activation and muscle forces from joint kinematic data directly while not requiring any label information during model training. …”
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  12. 112

    An efficient algorithmic framework to minimize the summand matrix in binary multiplication by Amit Verma, Manish Prateek, Shiv Naresh Shivhare, Thipendra P. Singh, Anuj Kumar, Rakesh Ranjan, Rahul Priyadarshi

    Published 2025-10-01
    “…Binary multiplication is a key operation in digital systems, often limited by the complexity of generating and summing numerous partial products. …”
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  13. 113

    Intelligent Decision Framework for Booster Fan Optimization in Underground Coal Mines: Hybrid Spherical Fuzzy-Cloud Model Approach Enhancing Ventilation Safety and Operational Effi... by Shibin Yao, Jian Zhou, Manoj Khandelwal, Abiodun Ismail Lawal, Chuanqi Li, Moshood Onifade, Sangki Kwon

    Published 2025-04-01
    “…Therefore, it is necessary to consider the addition of booster fans to ensure effective ventilation. However, the selection of booster fans involves multiple influencing factors, and the complex interrelationships among fans remain unclear, making solution selection and risk assessment more challenging. …”
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  14. 114

    Isolation and Optimization of Phages Infecting Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> Complex by Jenny Laverde Gomez, Cory Schwarz, Marina Tikhonova, Clark Hamor, Yizhi J. Tao, Pedro J. J. Alvarez, Jacques Mathieu

    Published 2025-03-01
    “…Optimizing the ruminal microbiome to enhance feed efficiency could help address both challenges. Members of the <i>Streptococcus bovis</i>/<i>Streptococcus equinus</i> complex (SBSEC) are key contributors to ruminal acidosis and related digestive disorders due to their role in carbohydrate fermentation and lactic acid production. …”
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    Optimizing demulsifier selection for crude oil dehydration: a fuzzy TOPSIS-based multi-criteria decision-making approach by Jianyong Yu, Merwa Alhadrawi, Farag M. A. Altalbawy, Ahmed Rasol Hasson, M. Mehdi Shafieezadeh

    Published 2025-07-01
    “…However, selecting an optimal demulsifier remains a complex problem due to the need to balance separation efficiency, environmental impact, cost-effectiveness, and ease of application. …”
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  19. 119

    Low-Complexity Transmit Antenna Selection in Large-Scale Spatial Modulation Systems by Peng Wei, Lu Yin, Yue Xiao, Xu He, Shaoqian Li

    Published 2015-01-01
    “…Transmit antenna selection (TAS) is an efficient way for improving the system performance of spatial modulation (SM) systems. …”
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