|
1 |
A dataset for machine learning-based QSAR models establishment to screen beta-lactamase inhibitors using the FARM -BIOMOL chemical library Pitakbut, Thanet. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2025
|
|
|
2 |
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery Semnani, Parastoo. - Berlin : Technische Universität Berlin, 2025
|
|
|
3 |
A machine learning-based framework and open-source software for non intrusive water monitoring Gross, Marie-Philine. - Berlin : Technische Universität Berlin, 2025
|
|
|
4 |
A novel machine-learning approach to unlock technical lignin classification by NIR spectroscopy - bench to handheld Fink, Friedrich. - Berlin : Bundesanstalt für Materialforschung und -prüfung (BAM), 2025
|
|
|
5 |
A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs Salehi, Fatemeh. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2025
|
|
|
6 |
A systematic review of machine learning-based prognostic models for acute pancreatitis: towards improving methods and reporting quality Critelli, Brian. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
|
|
|
7 |
About the trustworthiness of physics-based machine learning – considerations for geomechanical applications Degen, Denise. - Darmstadt : Universitäts- und Landesbibliothek, 2025
|
|
|
8 |
Analysis of Thin Carbon Reinforced Concrete Structures through Microtomography and Machine Learning Wagner, Franz. - Dresden : Technische Universität Dresden, 2025
|
|
|
9 |
Application of machine learning in predicting quality parameters in Metal Material Extrusion (MEX/M) Asami, Mohammad Karim. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
|
|
|
10 |
Artificial intelligence and machine learning Kühl, Niklas. - Darmstadt : Universitäts- und Landesbibliothek, 2025
|
|