يعرض 1 - 20 نتائج من 27 نتيجة بحث عن '(( binary risk codon optimization algorithm ) OR ( library based cost optimization algorithm ))', وقت الاستعلام: 0.59s تنقيح النتائج
  1. 1

    A Practical Algorithm to Solve the Near-Congruence Problem for Rigid Molecules and Clusters حسب José Manuel Vásquez-Pérez (12843737)

    منشور في 2023
    "…We present an improved algorithm to solve the near-congruence problem for rigid molecules and clusters based on the iterative application of assignment and alignment steps with biased Euclidean costs. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment حسب Jianfang Cao (1881379)

    منشور في 2019
    "…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …"
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    Acceleration of Inverse Molecular Design by Using Predictive Techniques حسب Jos L. Teunissen (1911856)

    منشور في 2019
    "…This study addresses one of the most important drawbacks inherently related to molecular searches in chemical compound space by greedy algorithms such as Best First Search and Genetic Algorithm, i.e., the large computational cost required to optimize one or more quantum-chemical properties. …"
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    Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP حسب Xiaoyuan Wang (492534)

    منشور في 2022
    "…In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …"
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    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>Methods: We developed Quantum-assisted Fragment-based Automated Structure Generator (QFASG), a fully automated algorithm designed to construct ligands for a target protein using a library of molecular fragments. …"
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    hIPPYlib: An Extensible Software Framework for Large-scale Inverse Problems حسب Olalekan A. Babaniyi (767286)

    منشور في 2019
    "…The key property of the algorithms implemented in hIPPYlib is that the solution is computed at a cost, measured in forward PDE solves, that is independent of the parameter dimension. …"
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    Table_3_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.xlsx حسب Qian Wang (32718)

    منشور في 2023
    "…Another noteworthy function is the refinement design of the training set, in which G2P optimizes the training set based on the genetic diversity analysis of a studied population. …"
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    Image_1_G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction.jpeg حسب Qian Wang (32718)

    منشور في 2023
    "…Another noteworthy function is the refinement design of the training set, in which G2P optimizes the training set based on the genetic diversity analysis of a studied population. …"