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27211 |
Social–Emotional Conversational Agents Based on Cognitive Architectures and Machine Learning
Enthalten in Pattern recognition and image analysis Bd. 34, 17.10.2024, Nr. 3, date:9.2024: 765-772
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27212 |
Social & Juristic challenges of AI for Opinion Mining Approaches on Amazon & Flipkart Product Reviews Using Machine Learning Algorithms
Enthalten in SN Computer Science Bd. 2, 30.3.2021, Nr. 3, date:5.2021: 1-21
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27213 |
SOCIAL MEDIA DATA PROCESSING AND ANALYSIS BY MEANS OF MACHINE LEARNING FOR RAPID DETECTION, ASSESSMENT AND MAPPING THE IMPACT OF DISASTERS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2020, 2020: 1237-1241
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27214 |
Social prediction: a new research paradigm based on machine learning
Enthalten in The Journal of Chinese Sociology Bd. 8, 1.9.2021, Nr. 1, date:12.2021: 1-21
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27215 |
Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged
Enthalten in BMC public health Bd. 24, 23.5.2024, Nr. 1, date:12.2024: 1-11
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27216 |
Socioeconomic and demographic factors associated with anaemia among women of reproductive age in Zimbabwe: a supervised machine learning approach
Enthalten in Discover public health Bd. 22, 7.4.2025, Nr. 1, date:12.2025: 1-17
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27217 |
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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27218 |
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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27219 |
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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27220 |
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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