بدائل البحث:
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
cost optimization » dose optimization (توسيع البحث), robust optimization (توسيع البحث), codon optimization (توسيع البحث)
binary climate » binary image (توسيع البحث)
climate model » climate models (توسيع البحث), primate model (توسيع البحث)
library based » laboratory based (توسيع البحث)
based cost » based cross (توسيع البحث), based case (توسيع البحث), based cohort (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
cost optimization » dose optimization (توسيع البحث), robust optimization (توسيع البحث), codon optimization (توسيع البحث)
binary climate » binary image (توسيع البحث)
climate model » climate models (توسيع البحث), primate model (توسيع البحث)
library based » laboratory based (توسيع البحث)
based cost » based cross (توسيع البحث), based case (توسيع البحث), based cohort (توسيع البحث)
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1
A Practical Algorithm to Solve the Near-Congruence Problem for Rigid Molecules and Clusters
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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2
Hyperparameters of the LSTM Model.
منشور في 2025"…Out of all the models, LSTM produced the best results. The AD-PSO-Guided WOA algorithm was used to adjust the hyperparameters for the LSTM model. …"
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3
Prediction results of individual models.
منشور في 2025"…Out of all the models, LSTM produced the best results. The AD-PSO-Guided WOA algorithm was used to adjust the hyperparameters for the LSTM model. …"
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4
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5
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6
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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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7
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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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8
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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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9
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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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10
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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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11
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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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12
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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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13
The AD-PSO-Guided WOA LSTM framework.
منشور في 2025"…Out of all the models, LSTM produced the best results. The AD-PSO-Guided WOA algorithm was used to adjust the hyperparameters for the LSTM model. …"
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14
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15
Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
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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16
Acceleration of Inverse Molecular Design by Using Predictive Techniques
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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17
Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP
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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18
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19
DataSheet1_Quantum-assisted fragment-based automated structure generator (QFASG) for small molecule design: an in vitro study.docx
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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20
Supporting data for "clinical-oriented surgical planning based on finite element method and automate-generated surgical templates assisting the spinal surgery"
منشور في 2024"…Remaining algorithm needed was reimplemented from open-source libraries.…"