|
61 |
A First Course in Statistical Learning Lederer, Johannes. - Cham : Springer Nature Switzerland, Imprint: Springer, 2025, 1st ed. 2025
|
|
|
62 |
A framework for explainable root cause analysis in manufacturing systems – combining machine learning, explainable artificial intelligence and the Ishikawa model for industrial manufacturing Kiefer, Daniel. - Reutlingen : Hochschule Reutlingen, 2025
|
|
|
63 |
A framework for sensor fault detection and management in low-power IoT edge devices Attarha, Shadi. - Bremen : Staats- und Universitätsbibliothek Bremen, 2025
|
|
|
64 |
A framework to evaluate machine learning crystal stability predictions Riebesell, Janosh. - Berlin : Bundesanstalt für Materialforschung und -prüfung (BAM), 2025
|
|
|
65 |
A Journey into Security Certification Anisetti, Marco. - Cham : Springer International Publishing, Imprint: Springer, 2025, 1st ed. 2025
|
|
|
66 |
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery Semnani, Parastoo. - Berlin : Technische Universität Berlin, 2025
|
|
|
67 |
A machine learning-based framework and open-source software for non intrusive water monitoring Gross, Marie-Philine. - Berlin : Technische Universität Berlin, 2025
|
|
|
68 |
A machine learning based regulatory risk index for cryptocurrencies Ni, Xinwen. - Berlin : Humboldt-Universität zu Berlin, 2025
|
|
|
69 |
A Machine Learning Dataset of Artificial Inner Ring Damage on Cylindrical Roller Bearings Measured Under Varying Cross-Influences Schnur, Christopher. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2025
|
|
|
70 |
A Mathematical Introduction to Data Science Sun, Yi. - Singapore : Springer Nature Singapore, Imprint: Springer, 2025, 1st ed. 2025
|
|