Showing 3,161 - 3,180 results of 7,728 for search '(programa OR programs) computational', query time: 0.22s Refine Results
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    The Effects of the Tractor and Semitrailer Routing Problem on Mitigation of Carbon Dioxide Emissions by Hongqi Li, Yanran Li, Yue Lu, Qiang Song, Jun Zhang

    Published 2013-01-01
    “…The results show that the proposed methods are effective and the algorithm can provide reasonable solutions within an acceptable computational time.…”
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  5. 3165

    CMRNet: An Automatic Rapeseed Counting and Localization Method Based on the CNN-Mamba Hybrid Model by Jie Li, Chenbo Yang, Chengyong Zhu, Tao Qin, Jingmin Tu, Binhui Wang, Jian Yao, Jiangwei Qiao

    Published 2025-01-01
    “…However, traditional methods for quantifying lodging rates, which rely on manual measurements of lodged plant proportions, are often labor-intensive and prone to inaccuracies, limiting their utility in large-scale breeding programs. This article provides an indirect method for lodging assessment by simplifying the lodging issue to the enumeration of upright plants. …”
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  6. 3166

    Spatial transcriptomic analysis of immune checkpoint blockade response in triple negative breast cancers with tertiary lymphoid structures by Richard H. Mebane, Teia Noel, Nathan Ing, Kenneth H. Gouin, III, Aagam Shah, David Zitser, Andrew Martinez, Gaorav Gupta, Sandra Demaria, Lorenzo Galluzzi, Alice Ho, Heather McArthur, Stephen L. Shiao, Simon.R.V. Knott

    Published 2025-07-01
    “…In contrast, those with lower malignant cell and T cell interaction rates at baseline showed CXCL9+ macrophage infiltration after pembrolizumab, and infiltration of T cells expressing CXCL9-associated programs prior to cancer cell removal after radiation therapy. …”
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  7. 3167

    Machine Learning in the National Economy by Azamjon A. Usmonov

    Published 2025-07-01
    “…However, the effectiveness of these models depends on the quality of the data used, and there are challenges related to data completeness, model interpretability, and computational resources. In conclusion, machine learning is a powerful tool for enhancing economic forecasting and risk management. …”
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    Using the Healthy Native Youth Implementation Toolbox to Provide Web-Based Adolescent Health Promotion Decision Support to American Indian and Alaska Native Communities: Implementa... by Amrita Sidhu, Ross Shegog, Stephanie Craig-Rushing, Nicole Trevino, Michelle Singer, Cornelia Jessen, Gwenda Gorman, Sean Simpson, Melissa Peskin, Belinda Hernandez, Christine Markham

    Published 2025-04-01
    “…Implementation of culturally relevant, age-appropriate evidence-based programs may mitigate these inequities. However, numerous barriers limit the adoption and implementation of evidence-based adolescent health promotion programs in AI/AN communities. …”
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    DENSITOMETRY-BASED FEM SIMULATIONS OF NOVEL POROUS IMPLANTS AND CORRESPONDING STRESS DISTRIBUTION AT THE PERI-IMPLANT AREA by Luboš Řehounek, Aleš Jíra

    Published 2020-03-01
    “…Bone density was used as the defining parameter in determining the values of Young’s moduli of individual finite elements by the computational program (Mechanical Finder). The implant was introduced as a user-created STL file, which was imported to the computational software and situated inside the geometry of the human mandible. …”
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    Heuristic-Driven Approach for Efficient Workflow Scheduling in Infrastructure as a Service Using Hybrid Optimization Algorithms by Sarvesh Kumar, Anubha Jain, Astha Pareek

    Published 2023-12-01
    “…To utilize IaaS, a business can buy a particular resource from a cloud computing supplier to reorganize its computing framework so clients can concentrate on tasks like acquiring and overseeing their own computer programs. …”
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    Unified framework for calculating convex roof resource measures by Xuanran Zhu, Chao Zhang, Zheng An, Bei Zeng

    Published 2025-04-01
    “…Compared to existing methods employing semi-definite programming (SDP), gradient-based techniques or seesaw strategy, our approach not only demonstrates satisfying computational efficiency but also maintains applicability across various scenarios within a unified framework. …”
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    Starting a synthetic biological intelligence lab from scratch by Md Sayed Tanveer, Dhruvik Patel, Hunter E. Schweiger, Kwaku Dad Abu-Bonsrah, Brad Watmuff, Azin Azadi, Sergey Pryshchep, Karthikeyan Narayanan, Christopher Puleo, Kannathal Natarajan, Mohammed A. Mostajo-Radji, Brett J. Kagan, Ge Wang

    Published 2025-05-01
    “…This multidisciplinary field requires knowledge of tissue engineering, biomaterials, signal processing, computer programming, neuroscience, and AI. As a result, starting SBI research is highly nontrivial and time-consuming, as most labs specialize in either the biological aspects or the computational ones. …”
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