بدائل البحث:
protein optimization » process optimization (توسيع البحث), property optimization (توسيع البحث), driven optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
based protein » capsid protein (توسيع البحث), based proteomics (توسيع البحث)
linac based » lines based (توسيع البحث)
binary 3 » binary _ (توسيع البحث), binary b (توسيع البحث)
3 based » _ based (توسيع البحث), 1 based (توسيع البحث), 2 based (توسيع البحث)
protein optimization » process optimization (توسيع البحث), property optimization (توسيع البحث), driven optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
based protein » capsid protein (توسيع البحث), based proteomics (توسيع البحث)
linac based » lines based (توسيع البحث)
binary 3 » binary _ (توسيع البحث), binary b (توسيع البحث)
3 based » _ based (توسيع البحث), 1 based (توسيع البحث), 2 based (توسيع البحث)
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
منشور في 2025"…A major challenge in bioprocess simulation is the lack of physical and chemical property databases for biochemicals. A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …"
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ROC curve for binary classification.
منشور في 2024"…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
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Confusion matrix for binary classification.
منشور في 2024"…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
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Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data
منشور في 2022"…Therefore, the resampling algorithm employed should vary depending on the data distribution to achieve optimal classification performance. …"
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Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization
منشور في 2025"…To tackle these challenges, this paper proposes the Blockchain Based Trusted Distributed Routing Scheme for MANET using Latent Encoder Coupled Generative Adversarial Network Optimized with Binary Emperor Penguin Optimizer (LEGAN-BEPO-BCMANET). …"
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Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
منشور في 2021"…We implement the evidence factors method for binary outcomes, which includes a randomization-based testing strategy and a sensitivity analysis for hidden bias in three-group matched designs. …"
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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
منشور في 2019"…We tested the accuracy, sensitivity, and resource requirements of three top metagenomic taxonomic classifiers that use fast k-mer based algorithms: Centrifuge, CLARK, and KrakenUniq. …"
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Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19.
منشور في 2021"…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …"