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27291 |
Soil salinity prediction using hybrid machine learning and remote sensing in Ben Tre province on Vietnam’s Mekong River Delta
Enthalten in Environmental science and pollution research Bd. 30, 19.5.2023, Nr. 29, date:6.2023: 74340-74357
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27292 |
Soil temperature estimation at different depths using machine learning paradigms based on meteorological data
Enthalten in Environmental monitoring and assessment Bd. 197, 26.12.2024, Nr. 1, date:1.2025: 1-25
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27293 |
SoK: quantum computing methods for machine learning optimization
Enthalten in Quantum machine intelligence Bd. 6, 24.7.2024, Nr. 2, date:12.2024: 1-26
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27294 |
Solar cell designs by maximizing energy production based on machine learning clustering of spectral variations
Enthalten in Nature Communications Bd. 9, 3.12.2018, Nr. 1, date:12.2018: 1-8
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27295 |
Solar Energy Forecasting Using Machine Learning and Deep Learning Techniques
Enthalten in Archives of computational methods in engineering Bd. 30, 24.2.2023, Nr. 5, date:6.2023: 3059-3079
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27296 |
Solar energy harvested prolong stability period protocol for wireless sensor networks
Enthalten in International journal of information technology Bd. 15, 18.2.2023, Nr. 3, date:3.2023: 1289-1297
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27297 |
Solar Irradiance Prediction Using an Optimized Data Driven Machine Learning Models
Enthalten in Journal of grid computing Bd. 21, 24.5.2023, Nr. 2, date:6.2023: 1-36
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27298 |
Solar panel energy production forecasting by machine learning methods and contribution of lifespan to sustainability
Enthalten in International journal of environmental science and technology Bd. 20, 7.8.2023, Nr. 10, date:10.2023: 10999-11018
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27299 |
“Solar synergy: maximizing photovoltaic power with spotted hyena method in uniform and partial-shade environmental conditions”
Enthalten in International journal of information technology Bd. 16, 5.7.2024, Nr. 6, date:8.2024: 3999-4006
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27300 |
Solubility of gaseous hydrocarbons in ionic liquids using equations of state and machine learning approaches
Enthalten in Scientific reports Bd. 12, 22.8.2022, Nr. 1, date:12.2022: 1-26
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