Showing 15,561 - 15,580 results of 15,618 for search 'computing optimizing 4', query time: 0.32s Refine Results
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    Impact of tumor diameter on post-radiofrequency ablation survival and local progression risk in patients with colorectal cancer lung metastasis by YING Leilei, LI Kening, CHEN Chao, WANG Ying, HUANG Haozhe, WANG Biao, LI Wentao, HE Xinhong

    Published 2025-05-01
    “…A tumor diameter of 3 cm can serve as a critical threshold for selecting RFA indications, and combining preoperative CEA levels can optimize patient stratification.…”
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  4. 15564
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    Large-Cell Neuroendocrine Carcinoma of the Cervix: Case Report and Literature Review by Wing Yu Sharon Siu, Chiu-Hsuan Cheng, Dah-Ching Ding

    Published 2025-03-01
    “…Concurrent chemotherapy with cisplatin and radiotherapy was performed. Four cycles of etoposide and cisplatin were planned. …”
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  6. 15566

    Multi-Scale Channel Distillation Network for Image Compressive Sensing by Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu

    Published 2025-01-01
    “…Combining outputs from both branches, we achieve an optimal reconstructed image. Extensive experimental results on four benchmark datasets demonstrate that MSCDN surpasses state-of-the-art CS methods not only in reconstruction accuracy but also in perceptual visual quality.…”
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  7. 15567

    Image-Based Shrimp Aquaculture Monitoring by Beatriz Correia, Osvaldo Pacheco, Rui J. M. Rocha, Paulo L. Correia

    Published 2025-01-01
    “…A setup was designed, including a camera connected to a Raspberry Pi computer, to capture high-quality images around a feeding plate during feeding moments. …”
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  8. 15568

    A flexible framework for identifying urban villages using Sentinel-2 observations and deep learning by Yizhen Wu, Xi Li, Yu Gong, Dennis Mwaniki

    Published 2025-07-01
    “…The proposed framework exhibited optimal performance (mIoU: 83.33 %) with robust spatial generalization, surpassing traditional methods (mIoU improvements: 0.46–12.49 %). …”
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    What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

    Published 2022-06-01
    “…We further assessed the training sample size effect to understand the optimal duration of field calibration for achieving good accuracy. …”
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    Sistema de tecnologia de grupo: um estudo de caso através de análise do fluxo da produção by Newton Ribeiro dos Santos, Lindolpho Oliveira de Araújo Júnior

    Published 1999-06-01
    “…<br>In this work, a computational implementation of the production flow analysis for a small company, riamelly, the software GROUPTEC, has been proposed. …”
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  13. 15573

    Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

    Published 2025-01-01
    “…Secondly, a multi-language collaborative automated analysis platform is constructed at the computational implementation level: the random field parameter generation module is developed based on Matlab and the parameter distribution is visualized. …”
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    Machine learning analysis of molecular dynamics properties influencing drug solubility by Zeinab Sodaei, Saeid Ekrami, Seyed Majid Hashemianzadeh

    Published 2025-07-01
    “…Understanding solubility at the early stages of drug discovery is essential for minimizing resource consumption and enhancing the likelihood of clinical success via prioritizing compounds with optimal solubility. Molecular dynamics (MD) simulation is a powerful computational tool for modeling various physicochemical properties, particularly solubility. …”
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    Ensemble learning guided survival prediction and chemotherapy benefit analysis in high-grade chondrosarcoma: A study based on the surveillance, epidemiology, and end results (SEER)... by Xu Zheng, Longqiang Shu, Shanyi Lin, Hanqiang Jin, Xiaoyu Wang, Ting Yuan

    Published 2025-05-01
    “…Ensemble learning has better overall performance than single computational approaches for clinical decision. The primary objective was to select prognostic variables and develop optimal ensemble learning algorithms for survival prediction and analyzing chemotherapy benefit in high-grade chondrosarcoma. …”
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    Vaccination as a Game: Behavioural Dynamics, Network Effects, and Policy Levers—A Comprehensive Review by Pedro H. T. Schimit, Abimael R. Sergio, Marco A. R. Fontoura

    Published 2025-07-01
    “…Here, we synthesise more than 80 theoretical, computational, and empirical studies to clarify how population structure, psychological perception, pathogen complexity, and policy incentives interact to determine vaccination equilibria and epidemic outcomes. …”
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