| A novel feature-based probability of detection assessment and fusion approach for reliability evaluation of vibration-based diagnosis systems DA Ameyaw, S Rothe, D Söffker Structural Health Monitoring 19 (3), 649-660, 2020 | 9 | 2020 |
| Probability of detection (pod)-based metric for evaluation of classifiers used in driving behavior prediction DA Ameyaw, Q Deng, D Söffker Proceedings of the Annual Conference of the PHM Society, Scottsdale, AZ, USA …, 2019 | 8 | 2019 |
| Probability of detection (POD)-oriented view to fault diagnosis for reliability assessment of FDI approaches DA Ameyaw, S Rothe, D Söffker International Design Engineering Technical Conferences and Computers and …, 2018 | 5 | 2018 |
| Adaptation and implementation of Probability of Detection (POD)-based fault diagnosis in elastic structures through vibration-based SHM approach DA Ameyaw, S Rothe, D Söffker | 5 | 2018 |
| How to evaluate classifier performance in the presence of additional effects: A new POD-based approach allowing certification of machine learning approaches DA Ameyaw, Q Deng, D Söffker Machine Learning with Applications 7, 100220, 2022 | 4 | 2022 |
| Fault diagnosis using Probability of Detection (POD)‐based sensor/information fusion for vibration‐based analysis of elastic structures DA Ameyaw, S Rothe, D Söffker PAMM 18 (1), e201800474, 2018 | 3 | 2018 |
| Crack detection in shaft using vibration measurements and analysis DA Ameyaw | 3 | 2015 |
| Evaluating machine learning-based classification approaches: a new method for comparing classifiers applied to human driver prediction intentions DA Ameyaw, Q Deng, D Söffker IEEE Access 10, 62429-62439, 2022 | 2 | 2022 |
| New Metric for Evaluation of Deep Neural Network Applied in Vision-Based Systems F Bakhshande, DA Ameyaw, N Madan, D Söffker Applied Sciences 12 (7), 3251, 2022 | 1 | 2022 |
| False Alarm-Improved Detection Capabilities of Multi-sensor-Based Monitoring of Vibrating Systems DA Ameyaw, D Söffker European Workshop on Structural Health Monitoring: Special Collection of …, 2021 | 1 | 2021 |
| Adaptive situated and reliable prediction of object trajectories NS Thind, DA Ameyaw, D Söffker | | 2022 |
| Machine Learning with Applications DA Ameyaw, Q Deng, D Söffker | | |
| New parametric evaluation and fusion strategy for vibration diagnosis systems and classification approaches applied to machine learning and computer vision systems DA Ameyaw Dissertation, Duisburg, Essen, Universität Duisburg-Essen, 2020, 0 | | |
Dirk Soffker (Söffker, Soeffker)Professor, Dynamics and Control, University of Duisburg-EssenBestätigte E-Mail-Adresse bei uni-due.de
