Showing 5,001 - 5,020 results of 7,873 for search 'comparative research algorithm', query time: 0.17s Refine Results
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    Application of Path Planning and Tracking Control Technology in Mower Robots by Lixing Liu, Hongjie Liu, Xu Wang, Jianping Li, Pengfei Wang, Shuteng Liu, Jinxuan Zou, Xin Yang

    Published 2024-10-01
    “…In obstacle avoidance path planning, we introduce the environment detection device and obstacle avoidance planning algorithm. Then the relevant research papers are analyzed in classification, comparing the research and validation methods adopted by the researchers in the form of charts. …”
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    Plasma metabolite biomarker identification study for the early detection of gastric cancer by Juan Zhu, Yida Huang, Bin Liu, Xue Li, Li Yuan, Le Wang, Kun Qian, Yingying Mao, Lingbin Du, Xiangdong Cheng

    Published 2025-02-01
    “…Among the five machine learning algorithms, the neural network algorithm demonstrated the best diagnostic performance, achieving AUC of 0.982 (95% CI: 0.965–0.998) and 0.951 (95% CI: 0.931–0.970) in the discovery and validation dataset, respectively. …”
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  12. 5012

    Fiber-Optic Sensor Spectrum Noise Reduction Based on a Generative Adversarial Network by Yujie Lu, Qingbin Du, Ruijia Zhang, Bo Wang, Zigeng Liu, Qizhe Tang, Pan Dai, Xiangxiang Fan, Chun Huang

    Published 2024-11-01
    “…This study evaluates the denoising performance of simulated spectra obtained from four different types of fiber-optic sensors: fiber Fabry–Perot interferometer (FPI), regular fiber Bragg grating (FBG), chirped FBG, and FBG pair. Compared to traditional denoising algorithms such as wavelet transform (WT) and empirical mode decomposition (EMD), the proposed method achieves an SNR improvement of up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>13.71</mn><mo> </mo><mi mathvariant="normal">dB</mi></mrow></semantics></math></inline-formula>, an RMSE that is up to three times smaller, and a minimum correlation coefficient (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>) of no less than 99.70% with the original high-SNR signals. …”
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    Digital Versus Conventional Impressions by Mohammad Munthir Abdulrazzaq, Mithaq R. Mohammed

    Published 2025-06-01
    “… Objective: The purpose of this research was to compare and contrast, in vivo, the three-dimensional (3D) dental impressions produced by digital and traditional methods. …”
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    Ultrasonic Mammography with Circular Transducer Array by Krzysztof J. OPIELIŃSKI, Piotr PRUCHNICKI, Tadeusz GUDRA

    Published 2014-09-01
    “…Projection research results of breast phantom obtained by means of the elaborated measurement set-up and compared with mammography simulations (acquired through overlapping of X-ray tomographic images) show that ultrasonic projection method presented in this paper (so-called ultrasonic mammography) can be applied to the woman’s breast and be used as a diagnosis for an early detection of cancerous lesions. …”
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    A Novel Artificial Bee Colony Approach of Live Virtual Machine Migration Policy Using Bayes Theorem by Gaochao Xu, Yan Ding, Jia Zhao, Liang Hu, Xiaodong Fu

    Published 2013-01-01
    “…The experimental results demonstrate that PS-ABC evidently reduces the total incremental power consumption and better protects the performance of VM running and migrating compared with the existing research. It makes the result of live VM migration more high-effective and meaningful.…”
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    Failure Mechanism and Effect of Nozzle Parameters on Abrasive Water Jet Rock Breaking by Jialiang Liu, Yujie Zhu, Shujian Du

    Published 2021-01-01
    “…Based on the coupling algorithm of Smooth Particle Hydrodynamics and Finite Element Method (SPH-FEM), in this research, the numerical model of AWJ impacting rock was established, and the result was verified with Computed Tomography (CT) scanning after the AWJ impacting rock experiment and image processing technology. …”
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