بدائل البحث:
identification algorithm » classification algorithm (توسيع البحث), detection algorithm (توسيع البحث)
process identification » process intensification (توسيع البحث), protein identification (توسيع البحث), protein identifications (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data process » data processing (توسيع البحث), damage process (توسيع البحث), data access (توسيع البحث)
binary ai » binary _ (توسيع البحث), binary pairs (توسيع البحث)
ai dose » a dose (توسيع البحث), i dose (توسيع البحث)
identification algorithm » classification algorithm (توسيع البحث), detection algorithm (توسيع البحث)
process identification » process intensification (توسيع البحث), protein identification (توسيع البحث), protein identifications (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data process » data processing (توسيع البحث), damage process (توسيع البحث), data access (توسيع البحث)
binary ai » binary _ (توسيع البحث), binary pairs (توسيع البحث)
ai dose » a dose (توسيع البحث), i dose (توسيع البحث)
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Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
منشور في 2025"…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
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2
Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
منشور في 2025"…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
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3
Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
منشور في 2025"…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
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4
Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
منشور في 2025"…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
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5
Microbial Keystone Taxa Identification in Global Wastewater Treatment Plants Based on Deep Learning
منشور في 2025"…In this work, we applied this framework to the high-throughput sequencing of the global wastewater treatment sample and identified 61 candidate taxa as the keystones for the wastewater treatment process. We found that the temperature and dissolved oxygen are the primary factors influencing the keystone taxa. …"
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Accession list and passport data.
منشور في 2024"…<div><p>High-throughput phenotyping brings new opportunities for detailed genebank accessions characterization based on image-processing techniques and data analysis using machine learning algorithms. …"
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10
iGlu_AdaBoost: Identification of Lysine Glutarylation Using the AdaBoost Classifier
منشور في 2020"…Lysine glutarylation is a newly reported post-translational modification (PTM) that plays significant roles in regulating metabolic and mitochondrial processes. Accurate identification of protein glutarylation is the primary task to better investigate molecular functions and various applications. …"
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Phenomic and classical descriptors.
منشور في 2024"…<div><p>High-throughput phenotyping brings new opportunities for detailed genebank accessions characterization based on image-processing techniques and data analysis using machine learning algorithms. …"
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