Enhancing resolution of electrical capacitive sensors for multiphase flows by fine-stepped electronic scanning of synthetic electrodes Z Zeeshan, CE Zuccarelli, DO Acero, QM Marashdeh, FL Teixeira IEEE transactions on instrumentation and measurement 68 (2), 462-473, 2018 | 33 | 2018 |
Relevance vector machine image reconstruction algorithm for electrical capacitance tomography with explicit uncertainty estimates D Ospina-Acero, QM Marashdeh, FL Teixeira IEEE Sensors Journal 20 (9), 4925-4939, 2020 | 24 | 2020 |
Use of fourier series in X-ray diffraction (XRD) analysis and fourier-transform infrared spectroscopy (FTIR) for estimation of crystallinity in cellulose from different sources N Montoya-Escobar, D Ospina-Acero, JA Velásquez-Cock, ... Polymers 14 (23), 5199, 2022 | 23 | 2022 |
Acceleration of electrical capacitance volume tomography imaging by Fourier-based sparse representations C Gunes, DO Acero, QM Marashdeh, FL Teixeira IEEE Sensors Journal 18 (23), 9649-9659, 2018 | 19 | 2018 |
Efficient and Flexible Sensitivity Matrix Computation for Adaptive Electrical Capacitance Volume Tomography DO Acero, SM Chowdhury, QM Marashdeh, FL Teixeira IEEE Transactions on Instrumentation and Measurement, 2020 | 12 | 2020 |
Aplicación de esquemas de Acceso Oportunista al Espectro en ambientes inalámbricos heterogéneos D Ospina, AF Ocampo, R Hincapié Revista en Telecomunicaciones e Informática, 2011 | 9 | 2011 |
Reduced-Space Relevance Vector Machine for Adaptive Electrical Capacitance Volume Tomography DO Acero, QM Marashdeh, FL Teixeira IEEE Transactions on Computational Imaging 8, 41-53, 2022 | 5 | 2022 |
Deep convolutional neural network approach for solving nonlinear inverse scattering problems L Li, LG Wang, DO Acero, FL Teixeira 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2019 | 5 | 2019 |
Exploiting sparsity in adaptive relevance vector machine for reconfigurable soft-field tomography DO Acero, FL Teixeira, QM Marashdeh 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI …, 2019 | 3 | 2019 |
Automatic sensor reconfiguration based on adaptive relevance vector machine for uncertainty reduction in tomography imaging DO Acero, SM Chowdhury, FL Teixeira, QM Marashdeh 2019 United States National Committee of URSI National Radio Science Meeting …, 2019 | 3 | 2019 |
Opportunistic spectrum access approach in heterogeneous wireless scenario D Ospina, AF Ocampo, RC Hincapié 2010 IEEE Latin-American Conference on Communications, 1-6, 2010 | 2 | 2010 |
Distributed multiple access in multichannel cognitive radio networks via potential games DO Acero, E Ekici 2015 13th International Symposium on Modeling and Optimization in Mobile, Ad …, 2015 | 1 | 2015 |
DAGGER: Data AuGmentation GEneRative Framework for Time-Series Data in Data-Driven Smart Manufacturing Systems N Hemleben, D Ospina-Acero, D Blank, A VanFossen, F Zahiri, M Kumar Annual Conference of the PHM Society 15 (1), 2023 | | 2023 |
Reconceptualizing the Prognostics Digital Twin for Smart Manufacturing with Data-Driven Evolutionary Models and Adaptive Uncertainty Quantification J Murray, B Chamberlain, N Hemleben, D Ospina-Acero, I Nayak, ... Annual Conference of the PHM Society 15 (1), 2023 | | 2023 |
Sensor Reconfigurability through Uncertainty Reduction in Adaptive Electrical Volume Tomography DO Acero The Ohio State University, 2021 | | 2021 |
Challenges on the Applicability of Adaptive Relevance Vector Machine for Image Reconstruction in Soft-Field Tomography DO Acero, FL Teixeira, QM Marashdeh 2020 IEEE SENSORS, 1-4, 2020 | | 2020 |
Evaluating Cross-Plane Acquisitions for Volume Process Tomography in the Laplacian Regime RK Rasel, DO Acero, FL Teixeira, QM Marashdeh 2019 United States National Committee of URSI National Radio Science Meeting …, 2019 | | 2019 |
Progress on Capacitive Sensing for Real-Time Process Tomography S Chowdhury, C Gunes, D Ospina-Acero, RK Rasel, FL Teixeira, ... 2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), 115-116, 2018 | | 2018 |
DAGGER: Data AuGmentation GEneRative Framework for Time-Series Data in Data-Driven Smart Manufacturing Systems D Blank, DO Acero, N Hemleben, A VanFossen, F Zahiri, M Kumar | | |