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  1. 301

    Algorithm for Computationally Efficient Imaging of Sound Speed in Conventional Ultrasound Sonography by Piotr KARWAT

    Published 2023-10-01
    “…The algorithm was verified through numerical simulations and phantom measurements. …”
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  2. 302

    Algorithm of Development and Methodology of Using Software for Information Conversion in the Educational Process by V. A. Gerasimov, O. V. Boyprav

    Published 2023-12-01
    “…The article is devoted to the results of substantiation and creation of the algorithm for the development of a software tool for information transformation, which is advisable to be used in the process of digital transformation of education in higher educational institutions. …”
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    TREATMENT FOR ACUTE/SUBACUTE MUSCULOSKELETAL PAIN, BY USING AN ALGORITHM FOR STEPWISE CHOICE OF ANALGESIC DRUGS AND FOR MONITORING THEIR EFFICACY: PRELIMINARY DATA OF THE ANALGESIC... by N. V. Gontarenko, A. V. Tsurgan, A. E. Karateev

    Published 2016-12-01
    “…A meeting of experts was held inMoscowin June 2015 to discuss the possibility of forming an interdisciplinary approach and elaborating a unified MSP treatment algorithm based on the com prehensive pathogenetically justified use of different classes of medicines. …”
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  11. 311

    Scalable <i>O</i>(<i>log</i><sub>2</sub><i>n</i>) Dynamics Control for Soft Exoskeletons by Julian D. Colorado, Diego Mendez, Andres Gomez-Bautista, John E. Bermeo, Catalina Alvarado-Rojas, Fredy Cuellar

    Published 2024-11-01
    “…In this paper, we address the computational limitations of modeling large-scale articulated systems for soft robotic exoskeletons by integrating a parallel algorithm to compute the exoskeleton’s dynamics equations of motion (EoM), achieving a computation with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>l</mi><mi>o</mi><msub><mi>g</mi><mn>2</mn></msub><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula> complexity for the highly articulated <i>n</i> degrees of freedom (DoF) running on <i>p</i> processing cores. …”
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    Registration between SAR and optical images based on improved phase consistency algorithm by Wannan Zhang

    Published 2025-06-01
    “…The traditional Scale-Invariant Feature Transform (SIFT) algorithm relies heavily on grayscale information, which poses challenges when dealing with the grayscale differences between optical and Synthetic Aperture Radar (SAR) images. …”
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    A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning by Yueyun Yu, Xin Huang, Danjv Lv, Benjamin K. Ng, Chan-Tong Lam

    Published 2025-06-01
    “…Experimental validation on a dataset comprising seven pine nut varieties demonstrated that, compared to particle swarm optimization (PSO) and the genetic algorithm (GA), the IBiEO-SP algorithm improved average classification accuracy by 5.7% (<i>p</i> < 0.01, Student’s <i>t</i>-test) under four spectral preprocessing methods (MSC, SNV, SG1, and SG2). …”
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  18. 318

    Joint Optimization Strategy of Task Migration and Power Allocation Based on Soft Actor-Critic in Unmanned Aerial Vehicle-Assisted Internet of Vehicles Environment by Jingpan Bai, Yifan Zhao, Bozhong Yang, Houling Ji, Botao Liu, Yunhao Chen

    Published 2024-11-01
    “…Considering the dynamic nature of the unmanned aerial vehicle-assisted internet of vehicles environment and the continuity of the action space, a soft actor-critic based algorithm for task migration and power allocation is designed. …”
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    Automatic identification of hard and soft tissue landmarks in cone-beam computed tomography via deep learning with diversity datasets: a methodological study by Yan Jiang, Canyang Jiang, Bin Shi, You Wu, Shuli Xing, Hao Liang, Jianping Huang, Xiaohong Huang, Li Huang, Lisong Lin

    Published 2025-04-01
    “…The average MRE of the hard tissue landmarks (32/43) was 1.73 mm, while that for soft tissue landmarks (11/43) was 1.84 mm. Conclusions Our proposed algorithm demonstrates a clinically acceptable level of accuracy and robustness for automatic detection of CBCT soft- and hard-tissue landmarks across all types of malformations. …”
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