Artificial neural network based photovoltaic fault detection algorithm integrating two bi-directional input parameters M Hussain, M Dhimish, S Titarenko, P Mather Renewable Energy 155, 1272-1292, 2020 | 118 | 2020 |
An analytical formula for ring artefact suppression in X-ray tomography S Titarenko, PJ Withers, A Yagola Applied Mathematics Letters 23 (12), 1489-1495, 2010 | 57 | 2010 |
Improved tomographic reconstructions using adaptive time-dependent intensity normalization V Titarenko, S Titarenko, PJ Withers, F De Carlo, X Xiao Journal of synchrotron radiation 17 (5), 689-699, 2010 | 45 | 2010 |
A predictive analysis of heart rates using machine learning techniques M Oyeleye, T Chen, S Titarenko, G Antoniou International Journal of Environmental Research and Public Health 19 (4), 2417, 2022 | 44 | 2022 |
Regularization methods for inverse problems in x-ray tomography V Titarenko, R Bradley, C Martin, PJ Withers, S Titarenko Developments in X-Ray Tomography VII 7804, 282-291, 2010 | 32 | 2010 |
A ring artifact suppression algorithm based on a priori information S Titarenko, V Titarenko, A Kyrieleis, PJ Withers Applied Physics Letters 95 (7), 2009 | 32 | 2009 |
No significant boron in the hydrated mantle of most subducting slabs AM McCaig, SS Titarenko, IP Savov, RA Cliff, D Banks, A Boyce, ... Nature Communications 9 (1), 4602, 2018 | 28 | 2018 |
A priori information in a regularized sinogram-based method for removing ring artefacts in tomography S Titarenko, V Titarenko, A Kyrieleis, PJ Withers Journal of synchrotron radiation 17 (4), 540-549, 2010 | 24 | 2010 |
Suppression of ring artefacts when tomographing anisotropically attenuating samples S Titarenko, V Titarenko, A Kyrieleis, P Withers, F De Carlo Journal of Synchrotron Radiation 18 (3), 427-435, 2011 | 23 | 2011 |
Modelling the Lost City hydrothermal field: influence of topography and permeability structure SS Titarenko, AM McCaig Geofluids 16 (2), 314-328, 2016 | 21 | 2016 |
A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia M Bucholc, S Titarenko, X Ding, C Canavan, T Chen Expert Systems with Applications 217, 119541, 2023 | 19 | 2023 |
Malaria parasite detection using deep learning methods K Chakradeo, M Delves, S Titarenko International Journal of Computer and Information Engineering 15 (2), 175-182, 2021 | 18 | 2021 |
Fast implementation of pattern mining algorithms with time stamp uncertainties and temporal constraints SS Titarenko, VN Titarenko, G Aivaliotis, J Palczewski Journal of Big Data 6 (1), 37, 2019 | 16 | 2019 |
Hybrid multicore/vectorisation technique applied to the elastic wave equation on a staggered grid S Titarenko, M Hildyard Computer Physics Communications 216, 53-62, 2017 | 15 | 2017 |
Ring artefact suppression in real-time x-ray tomography SS Titarenko, AG Yagola Moscow University Physics Bulletin 65, 65-67, 2010 | 9 | 2010 |
Data-driven decision support for autism diagnosis using machine learning S Batsakis, M Adamou, I Tachmazidis, G Antoniou, T Kehagias Proceedings of the 13th International Conference on Management of Digital …, 2021 | 8 | 2021 |
Multilevel parallelization: Grid methods for solving direct and inverse problems SS Titarenko, IM Kulikov, IG Chernykh, MA Shishlenin, OI Krivorot’ko, ... Supercomputing: Second Russian Supercomputing Days, RuSCDays 2016, Moscow …, 2016 | 6 | 2016 |
Regularization methods forinverseproblemsinx-raytomography V Titarenko, R Bradley, C Martin, PJ Withers, S Titarenko Proc. SPIE X-Ray Tomography 7804, 78040Z-78040Z, 2010 | 5 | 2010 |
Regularization methods for inverse problems in X-ray tomography. SPIE Optical Engineering+ Applications. International Society for Optics and Photonics V Titarenko, R Bradley, C Martin, PJ Withers, S Titarenko 78040Z–78040Z–10, 2010 | 4 | 2010 |
Constraints on the Lost City Hydrothermal System from borehole thermal data; 3-D models of heat flow and hydrothermal circulation in an oceanic core complex. S Titarenko, AM McCaig AGU Fall Meeting Abstracts 2014, V21A-4729, 2014 | 3 | 2014 |