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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

32601 - 32610 von 33464
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Artikel 32601 Towards the application of machine learning in digital twin technology: a multi-scale review
Enthalten in Discover applied sciences Bd. 6, 19.9.2024, Nr. 10, date:10.2024: 1-23 		Online Ressource
Artikel 32602 Towards the prediction of drug solubility in binary solvent mixtures at various temperatures using machine learning
Enthalten in Journal of cheminformatics Bd. 16, 28.10.2024, Nr. 1, date:12.2024: 1-17 		Online Ressource
Artikel 32603 Towards the synthesis of spectral imaging and machine learning-based approaches for non-invasive phenotyping of plants
Enthalten in Biophysical reviews Bd. 15, 4.9.2023, Nr. 5, date:10.2023: 939-946 		Online Ressource
Artikel 32604 Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review
Enthalten in Artificial intelligence review Bd. 57, 9.7.2024, Nr. 8, date:8.2024: 1-60 		Online Ressource
Artikel 32605 Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems
Enthalten in Minds and machines Bd. 34, 9.5.2024, Nr. 2, date:6.2024: 1-26 		Online Ressource
Artikel 32606 Towards trustable machine learning
Enthalten in Nature biomedical engineering Bd. 2, 10.10.2018, Nr. 10, date:10.2018: 709-710 		Online Ressource
Artikel 32607 Towards Waste Reduction in E-Commerce: A Comparative Analysis of Machine Learning Algorithms and Optimisation Techniques for Garment Returns Prediction with Feature Importance Evaluation
Enthalten in SN Computer Science Bd. 6, 2.5.2025, Nr. 5, date:6.2025: 1-13 		Online Ressource
Artikel 32608 Traceability and discrimination of opium poppy shell analogues using HS-GC-IMS combined with machine learning algorithms
Enthalten in Analytical and bioanalytical chemistry Bd. 417, 14.5.2025, Nr. 17, date:7.2025: 3857-3868 		Online Ressource
Artikel 32609 ‘Tracheid effect’ light scattering response of common commercial species of Malaysia using red laser (650 nm) for grain angle detection, and machine learning based performance prediction
Enthalten in Wood science and technology Bd. 59, 7.5.2025, Nr. 4, date:7.2025: 1-21 		Online Ressource
Artikel 32610 Tracking and tracing water consumption for informed water sensitive intervention through machine learning approach
Enthalten in Clean water Bd. 7, 9.4.2024, Nr. 1, date:12.2024: 1-19 		Online Ressource


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