Hollow spheres to nanocups: tuning the morphology and magnetic properties of single-crystalline α-Fe2O3 nanostructures D Jagadeesan, U Mansoori, P Mandal, A Sundaresan, M Eswaramoorthy Angew. Chem 120 (40), 7799-7802, 2008 | 139 | 2008 |
Tailoring the surface charge of dextran-based polymer coated SPIONs for modulated stem cell uptake and MRI contrast M Barrow, A Taylor, DJ Nieves, LK Bogart, P Mandal, CM Collins, ... Biomaterials science 3 (4), 608-616, 2015 | 60 | 2015 |
A theoretical look at information-driven sensor management criteria EH Aoki, A Bagchi, P Mandal, Y Boers 14th International Conference on Information Fusion, 1-8, 2011 | 57 | 2011 |
Particle filter based entropy Y Boers, H Driessen, A Bagchi, P Mandal 2010 13th International Conference on Information Fusion, 1-8, 2010 | 56 | 2010 |
Particle based MAP state estimation: A comparison S Saha, Y Boers, H Driessen, PK Mandal, A Bagchi 2009 12th International Conference on Information Fusion, 278-283, 2009 | 43 | 2009 |
Gaussian proposal density using moment matching in SMC methods S Saha, PK Mandal, Y Boers, H Driessen, A Bagchi Statistics and Computing 19, 203-208, 2009 | 41 | 2009 |
Labeling uncertainty in multitarget tracking EH Aoki, PK Mandal, L Svensson, Y Boers, A Bagchi IEEE Transactions on Aerospace and Electronic systems 52 (3), 1006-1020, 2016 | 32 | 2016 |
Optimal particle-filter-based detector Y Boers, PK Mandal IEEE signal processing letters 26 (3), 435-439, 2019 | 24 | 2019 |
Exploiting data in smart factories: real-time state estimation and model improvement in metal forming mass production J Havinga, PK Mandal, T van den Boogaard International Journal of Material Forming 13, 663-673, 2020 | 20 | 2020 |
Investigation of biferroic properties in La0. 6Sr0. 4MnO3/0.7 Pb (Mg1/3Nb2/3) O3–0.3 PbTiO3 epitaxial bilayered heterostructures AR Chaudhuri, SB Krupanidhi, P Mandal, A Sundaresan Journal of Applied Physics 106 (5), 2009 | 17 | 2009 |
A Bayes formula for Gaussian noise processes and its applications PK Mandal, V Mandrekar SIAM journal on control and optimization 39 (3), 852-871, 2000 | 16 | 2000 |
Riemann–Langevin particle filtering in track-before-detect FJI Garcia, PK Mandal, M Bocquel, AG Marques IEEE signal processing letters 25 (7), 1039-1043, 2018 | 15 | 2018 |
On the “near-universal proxy” argument for theoretical justification of information-driven sensor management EH Aoki, A Bagchi, P Mandal, Y Boers 2011 IEEE Statistical Signal Processing Workshop (SSP), 245-248, 2011 | 14 | 2011 |
Particle based smoothed marginal MAP estimation for general state space models S Saha, PK Mandal, A Bagchi, Y Boers, JN Driessen IEEE transactions on signal processing 61 (2), 264-273, 2012 | 13 | 2012 |
A Bayesian look at the optimal track labelling problem EH Aoki, Y Boers, L Svensson, P Mandal, A Bagchi 9th IET Data Fusion & Target Tracking Conference (DF&TT 2012): Algorithms …, 2012 | 13 | 2012 |
A theoretical analysis of Bayes-optimal multi-target tracking and labelling EH Aoki, A Bagchi, PK Mandal, Y Boers University of Twente, 2011 | 13 | 2011 |
On homogeneous skewness of unimodal distributions S Das, PK Mandal, D Ghosh Sankhyā: The Indian Journal of Statistics, Series B (2008-), 187-205, 2009 | 11 | 2009 |
A new approach to particle based smoothed marginal MAP S Saha, PK Mandal, A Bagchi 2008 16th European Signal Processing Conference, 1-5, 2008 | 10 | 2008 |
A Bayes formula for Gaussian processes and its applications V Mandrekar, PK Mandal SIAM J. Control Optim 39 (3), 852-871, 2000 | 10 | 2000 |
Nonlinear filtering with stochastic delay equations G Kallianpur, PK Mandal Advances on Theoretical and Methodological Aspects of Probability and …, 2019 | 8 | 2019 |