Showing 1,481 - 1,500 results of 5,488 for search 'decision three algorithm', query time: 0.20s Refine Results
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    3D rock strength prediction by an innovative approach that integrates geostatistics with machine deep learning models by Hichem Horra, Ahmed Hadjadj, Elfakeur Abidi Saad, Khalil Moulay Brahim

    Published 2025-06-01
    “…To address this gap, this method explores alternative approaches to estimate rock strength using minimum data. A novel 3D rock strength prediction model that integrates geostatistic with deep learning algorithms is proposed. …”
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    A rapid recognition method for radar active jamming based on the Hybrid 3_CNN‐Transformer model by Jingjing Wei, Lei Yu, Yinsheng Wei, Rongqing Xu

    Published 2024-11-01
    “…Accurate and real‐time jamming recognition is crucial for effective radar anti‐jamming decisions. For scenarios with limited data, a rapid active jamming recognition method based on the Hybrid 3_CNN‐Transformer model is proposed. …”
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    A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

    Published 2025-06-01
    “…This study aims to address the critical lack of standardized guidelines for unmanned aerial vehicle (UAV) image acquisition strategies utilizing structure-from-motion (SfM) by focusing on 3D building exterior modeling. A comprehensive experimental analysis was conducted to systematically investigate and quantitatively evaluate the effects of various shooting patterns and parameters on SfM reconstruction quality and processing efficiency. …”
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    A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa by Meron Asmamaw Alemayehu, Shimels Derso Kebede, Agmasie Damtew Walle, Daniel Niguse Mamo, Ermias Bekele Enyew, Jibril Bashir Adem

    Published 2025-04-01
    “…The objective is to identify predictors of dropout and enhance intervention strategies.MethodsThe study utilized seven base machine learning algorithms to create a stacked ensemble model with three meta-learners: Random Forest (RF), Generalized Linear Model (GLM), and Extreme Gradient Boosting (XGBoost). …”
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    Impact of Climate Change on the Narrow Endemic Herb Psilopeganum sinense (Rutaceae) in China by Ruixiong Deng, Kaitong Xiao, Xin Chen, Beibei Huang, Haoran Li, Lin Wu, Hang Ning, Hui Chen

    Published 2025-03-01
    “…ABSTRACT Psilopeganum sinense is a perennial herb endemic to the Three Gorges Reservoir Area (TGRA) of the Yangtze River and its surrounding regions. …”
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    FROM SURVEYING TO GEOMATICS by BESIM AJVAZI, FISNIK LOSHI, BÉLA MÁRKUS

    Published 2016-09-01
    “…The traditional top-down approach substituted by bottom-up methodologies; in many cases the point-by-point measurement is changed by 3D laserscanning or Unmanned Aerial Systems, which produces huge amount of data, but it needs new algorithms for information extraction; instead of a simple data provision land surveyors support complex spatial decisions. …”
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    CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction by Linna Wang, Xinyu Guo, Haoyue Shi, Yuehang Ma, Han Bao, Lihua Jiang, Li Zhao, Ziliang Feng, Tao Zhu, Li Lu

    Published 2025-04-01
    “…Conclusion CRISP achieves better generalizability across different patient groups, compared to various baseline algorithms, thereby enhancing the practical application of DL in clinical decision support. …”
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