|
981 |
Evaluating different machine learning techniques as surrogate for low voltage grids Enthalten in Energy informatics Bd. 3, 28.10.2020, Nr. 1, date:10.2020: 1-12
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|
982 |
Evaluating machine learning prediction techniques and their impact on proactive resource provisioning for cloud environments Enthalten in The journal of supercomputing Bd. 80, 18.6.2024, Nr. 15, date:10.2024: 21920-21951
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|
983 |
Evaluating soil nutrients of Dacrydium pectinatum in China using machine learning techniques Enthalten in Forest ecosystems Bd. 7, 5.5.2020, Nr. 1, date:12.2020: 1-14
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|
984 |
Evaluation of Supervised Machine Learning Techniques for Dynamic Malware Detection Enthalten in International journal of computational intelligence systems Bd. 11, 12.6.2018, Nr. 1, date:1.2018: 1153-1169
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|
985 |
Evaluation of the post fire mechanical strength properties of recycled aggregate concrete containing GGBS: optimization and prediction using machine learning techniques Enthalten in Asian journal of civil engineering Bd. 24, 3.3.2023, Nr. 6, date:9.2023: 1639-1666
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986 |
Explainability analysis in predictive models based on machine learning techniques on the risk of hospital readmissions Enthalten in Health and Technology Bd. 14, 28.11.2023, Nr. 1, date:1.2024: 93-108
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987 |
Explainable machine learning techniques for hybrid nanofluids transport characteristics: an evaluation of shapley additive and local interpretable model-agnostic explanations Enthalten in Journal of thermal analysis and calorimetry Bd. 149, 19.10.2024, Nr. 21, date:11.2024: 11599-11618
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988 |
Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh Enthalten in BMC public health Bd. 25, 29.1.2025, Nr. 1, date:12.2025: 1-22
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989 |
Exploring machine learning and statistical approach techniques for landslide susceptibility mapping in Siwalik Himalayan Region using geospatial technology Enthalten in Environmental science and pollution research Bd. 31, 10.1.2024, Nr. 7, date:2.2024: 10443-10459
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990 |
Exploring Machine Learning Techniques for Accurate Prediction of Methane Hydrate Formation Temperature in Brine: A Comparative Study Enthalten in The Arabian journal for science and engineering Bd. 49, 27.4.2024, Nr. 6, date:6.2024: 8983-8996
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