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35601 |
Towards smart scanning probe lithography: a framework accelerating nano-fabrication process with in-situ characterization via machine learning
Enthalten in Microsystems & nanoengineering Bd. 9, 10.10.2023, Nr. 1, date:12.2023: 1-14
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35602 |
Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach
Enthalten in Discover civil engineering Bd. 2, 3.3.2025, Nr. 1, date:12.2025: 1-25
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35603 |
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
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35604 |
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
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35605 |
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
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35606 |
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
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35607 |
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
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35608 |
Towards trustable machine learning
Enthalten in Nature biomedical engineering Bd. 2, 10.10.2018, Nr. 10, date:10.2018: 709-710
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35609 |
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
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35610 |
‘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
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