Accurate diagnosis of term–preterm births by spectral analysis of electrohysterography signals DK Degbedzui, ME Yüksel Computers in Biology and Medicine 119, 103677, 2020 | 32 | 2020 |
Bluetooth-based wireless digital stethoscope with mobile integration DK Degbedzui, M Tetteh, EE Kaufmann, GA Mills Biomedical Engineering: Applications, Basis and Communications 30 (03), 1850010, 2018 | 5 | 2018 |
Development of uterine contraction monitoring system for resource-limited settings DK Degbedzui, GA Mills, EE Kaufmann Biomedical Engineering: Applications, Basis and Communications 28 (06), 1650045, 2016 | 5 | 2016 |
Preterm birth prediction by classification of spectral features of electrohysterography signals using 1D convolutional neural network: Preliminary results DK Degbedzui, ME Yüksel, AEF Malik 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | 3 | 2020 |
Predicting Centrifugal Pumps’ Complete Characteristics Using Machine Learning J Yu, E Akoto, DK Degbedzui, L Hu Processes 11 (2), 524, 2023 | 1 | 2023 |
Assessing intrapartum risk of hypoxic ischemic encephalopathy using fetal heart rate with long short-term memory networks DK Degbedzui, M Kuzniewicz, C Marie-Coralie, Y Wu, H Forquer, ... 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 1 | 2022 |
Efficient detection of counterfeit banknotes using adaptive network based fuzzy inference systems A Basturk, NS Basturk, DK Degbedzui, ME Yuksel 2021 13th international conference on electrical and electronics engineering …, 2021 | 1 | 2021 |
Hybrid Scattering Transform-Long Short-Term Memory Networks for Intrapartum Fetal Heart Rate Classification DK Degbedzui, M Kuzniewicz, C Marie-Coralie, Y Wu, H Forquer, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
Term-preterm detection using spectral estimation with machine learning and deep learning methodologies DK Degbedzui Fen Bilimleri Enstitüsü, 0 | | |