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6531 |
The Prediction of COVID-19 Using LSTM Algorithms
Enthalten in International journal of networked and distributed computing Bd. 9, 5.1.2021, Nr. 1, date:1.2021: 19-24
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6532 |
The refinement-schemes-based unified algorithms for certain nth order linear and nonlinear differential equations with a set of constraints
Enthalten in Advances in difference equations Bd. 2021, 23.2.2021, Nr. 1, date:12.2021: 1-16
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6533 |
The remarkable potential of machine learning algorithms in estimating water permeability of concrete incorporating nano natural pozzolana
Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-22
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6534 |
The risk of shortcutting in deep learning algorithms for medical imaging research
Enthalten in Scientific reports Bd. 14, 25.11.2024, Nr. 1, date:12.2024: 1-7
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6535 |
The role of big data management, data registries, and machine learning algorithms for optimizing safe definitive surgery in trauma: a review
Enthalten in Patient safety in surgery Bd. 18, 20.6.2024, Nr. 1, date:12.2024: 1-10
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6536 |
The use of artificial neural network algorithms to enhance tourism economic efficiency under information and communication technology
Enthalten in Scientific reports Bd. 15, 15.3.2025, Nr. 1, date:12.2025: 1-13
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6537 |
The use of extreme learning machines (ELM) algorithms to prediction strength for cotton ring spun yarn
Enthalten in Fashion and Textiles Bd. 3, 28.11.2016, Nr. 1, date:12.2016: 1-9
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6538 |
The use of open source GIS algorithms, big geographic data, and cluster computing techniques to compile a geospatial database that can be used to evaluate upstream bathing and sanitation behaviours on downstream health outcomes in Indonesia, 2000–2008
Enthalten in International journal of health geographics Bd. 17, 14.12.2018, Nr. 1, date:12.2018: 1-11
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6539 |
The utility of MAS5 expression summary and detection call algorithms
Enthalten in BMC bioinformatics Bd. 8, 30.7.2007, Nr. 1, date:12.2007: 1-12
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6540 |
The utilization of wood samples from xylarium in historical wooden statues: improving the separation accuracy non-destructive measurement for using several algorithms
Enthalten in Journal of wood science Bd. 70, 5.6.2024, Nr. 1, date:12.2024: 1-9
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