|
141 |
Enhancing FEA sheet metal forming simulations through 3D geometric data-driven surrogate modeling Enthalten in Automatisierungstechnik Bd. 73, 2025, Nr. 4: 261-270. 10 S.
|
|
|
142 |
Challenges and requirements of AI-based waste water treatment systems Enthalten in Automatisierungstechnik Bd. 73, 2025, Nr. 1: 40-49. 10 S.
|
|
|
143 |
Machine learning prediction of effective radiation doses in various computed tomography applications: a virtual human phantom study Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 4: 385-391. 07 S.
|
|
|
144 |
Classification of anemic condition based on photoplethysmography signals and clinical dataset Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 4: 359-370. 12 S.
|
|
|
145 |
Prediction of remaining surgery duration based on machine learning methods and laparoscopic annotation data Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 3: 229-239. 11 S.
|
|
|
146 |
Gesture recognition from surface electromyography signals based on the SE-DenseNet network Enthalten in Biomedical engineering Bd. 70, 2025, Nr. 3: 207-216. 10 S.
|
|
|
147 |
A new neural network–assisted hybrid chaotic hiking optimization algorithm for optimal design of engineering components Enthalten in Materials testing Bd. 67, 2025, Nr. 6: 1069-1078. 10 S.
|
|
|
148 |
A self-portrayal of GI Junior Fellow Franziska Boenisch: trustworthy machine learning for individuals Enthalten in Information technology Bd. 67, 2025, Nr. 1: 8-12. 5 S.
|
|
|
149 |
Advanced explainable models for strength evaluation of self-compacting concrete modified with supplementary glass and marble powders Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 21 S.
|
|
|
150 |
Analyzing the compressive strength, eco-strength, and cost–strength ratio of agro-waste-derived concrete using advanced machine learning methods Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 18 S.
|
|