يعرض 21 - 40 نتائج من 47 نتيجة بحث عن '(( primary based design optimization algorithm ) OR ( binary task codon optimization algorithm ))', وقت الاستعلام: 0.48s تنقيح النتائج
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    A portfolio selection model based on the knapsack problem under uncertainty حسب Fereshteh Vaezi (6655028)

    منشور في 2019
    "…The resulted model is converted into a parametric linear programming model in which the decision maker is able to determine the optimism threshold. Finally, a discrete firefly algorithm is designed to find the near optional solutions in large dimensions. …"
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    Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX حسب Paul Grzesik (11136582)

    منشور في 2021
    "…Here we present the implementation of a machine learning pipeline into the DoE-based design of cell culture media to optimize T cell cultures in one experimental step (one-time optimization). …"
  5. 25

    Table_1_Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms.xlsx حسب Xinping Lin (1591438)

    منشور في 2021
    "…We aim to develop a decision support tool based on machine learning (ML) algorithms, called DAMS (Disability After Mild Stroke), to identify mild stroke patients who would be at high risk of post-stroke disability (PSD) if they only received medical therapy and, more importantly, to aid neurologists in making individual clinical decisions in emergency contexts.…"
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    Data_Sheet_1_Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms.docx حسب Xinping Lin (1591438)

    منشور في 2021
    "…We aim to develop a decision support tool based on machine learning (ML) algorithms, called DAMS (Disability After Mild Stroke), to identify mild stroke patients who would be at high risk of post-stroke disability (PSD) if they only received medical therapy and, more importantly, to aid neurologists in making individual clinical decisions in emergency contexts.…"
  7. 27

    DataSheet1_Quantum-assisted fragment-based automated structure generator (QFASG) for small molecule design: an in vitro study.docx حسب Sergei Evteev (18294157)

    منشور في 2024
    "…</p><p>Results: New low-micromolar inhibitors of CAMKK2 and ATM were designed using the algorithm.</p><p>Discussion: These findings highlight the algorithm’s potential in designing primary hits for further optimization and showcase the capabilities of QFASG as an effective tool in this field.…"
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    Automatic Machine Learning Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks for Capture of Methanol and Ethanol from the Air حسب Lulu Zhang (104611)

    منشور في 2023
    "…This work can serve as a roadmap for experimental synthesis, innovative design of MOFs, and the development of new ML algorithms.…"
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    Data Sheet 1_AI-driven optimization of dynamic vibration absorbers with hydraulic amplifier and mechanical inerter integration.pdf حسب Ahmed Shamseldin (19759437)

    منشور في 2024
    "…Also, multi-objective optimization was performed using particle swarm optimization (PSO) which is considered innovative in this application and compared with commonly used genetic algorithms (GA). …"
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    Data used to drive the Double Layer Carbon Model in the Qinling Mountains. حسب Huiwen Li (17705280)

    منشور في 2024
    "…The DLCM is an advanced and comprehensive tool designed to simulate SOC dynamics for both the top 20 cm layer (SOC20​) and the deeper 20­­–100 cm layer (SOC20–100​). …"
  13. 33

    Extraction and expression of architectural color. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
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    Basic color value distribution map of the street. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
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    SegNet architecture. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
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    Overview of workflow. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
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    Descriptive statistics for the volunteers. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
  18. 38

    Jiefang North Road Street. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
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    Colors with different number of clusters. حسب Xin Han (1329648)

    منشور في 2023
    "…We introduced the SegNet deep learning algorithm to semantically segment the street view images, extract the architectural elements and optimize the edges of the architecture. …"
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    Datasheet1_An explainable machine learning approach using contemporary UNOS data to identify patients who fail to bridge to heart transplantation.pdf حسب Mamoun T. Mardini (14672933)

    منشور في 2024
    "…Out of them, 12% had primary outcomes indicating Status 2 failure. Our ML models were based on 19 variables from the UNOS data. …"