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27461 |
Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches
Enthalten in Journal of exposure science & environmental epidemiology Bd. 34, 1.2.2023, Nr. 2, date:3.2024: 197-207
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27462 |
Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency
Enthalten in Environmental earth sciences Bd. 84, 15.1.2025, Nr. 2, date:1.2025: 1-17
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27463 |
Soft Clustering for Enhancing ITU Rain Model based on Machine Learning Techniques
Enthalten in Wireless personal communications Bd. 120, 24.5.2021, Nr. 1, date:9.2021: 287-305
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27464 |
Soft computing method for predicting pressure drop reduction in crude oil pipelines based on machine learning methods
Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 42, 8.10.2020, Nr. 11, date:11.2020: 1-11
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27465 |
Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches
Enthalten in Journal of building pathology and rehabilitation Bd. 9, 19.6.2024, Nr. 2, date:12.2024: 1-29
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27466 |
Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches
Enthalten in Scientific reports Bd. 13, 4.9.2023, Nr. 1, date:12.2023: 1-21
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27467 |
Soft electronic material based sensor with optical network in sports application for player movement analysis using machine learning model
Enthalten in Optical and quantum electronics Bd. 56, 30.1.2024, Nr. 4, date:4.2024: 1-18
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27468 |
Soft Electronics for Health Monitoring Assisted by Machine Learning
Enthalten in Nano-Micro letters Bd. 15, 15.3.2023, Nr. 1, date:12.2023: 1-86
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27469 |
Soft graph on distance-2 of a minimal dominating set of a graph
Enthalten in International journal of information technology Bd. 17, 6.1.2025, Nr. 3, date:4.2025: 1839-1844
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27470 |
Soft ground micro TBM jack speed and torque prediction using machine learning models through operator data and micro TBM-log data synchronization
Enthalten in Scientific reports Bd. 14, 27.4.2024, Nr. 1, date:12.2024: 1-14
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