| A multi agent system architecture to implement collaborative learning for social industrial assets K Bakliwal, MH Dhada, AS Palau, AK Parlikad, BK Lad IFAC-PapersOnLine 51 (11), 1237-1242, 2018 | 47 | 2018 |
| Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission D Aggarwal, B Warne, AS Jahun, WL Hamilton, T Fieldman, L Du Plessis, ... Nature Communications 13 (1), 751, 2022 | 41 | 2022 |
| An Industrial Multi Agent System for real-time distributed collaborative prognostics AS Palau, MH Dhada, K Bakliwal, AK Parlikad Engineering Applications of Artificial Intelligence 85, 590-606, 2019 | 39 | 2019 |
| Multi-agent system architectures for collaborative prognostics A Salvador Palau, MH Dhada, AK Parlikad Journal of Intelligent Manufacturing 30 (8), 2999-3013, 2019 | 38 | 2019 |
| Recurrent neural networks for real-time distributed collaborative prognostics AS Palau, K Bakliwal, MH Dhada, T Pearce, AK Parlikad 2018 IEEE international conference on prognostics and health management …, 2018 | 26 | 2018 |
| Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning LA Bull, D Di Francesco, M Dhada, O Steinert, T Lindgren, AK Parlikad, ... Computer‐Aided Civil and Infrastructure Engineering 38 (7), 821-848, 2023 | 24 | 2023 |
| Federated learning for collaborative prognosis M Dhada, AK Parlikad, AS Palau | 15 | 2020 |
| Weibull recurrent neural networks for failure prognosis using histogram data M Dhada, AK Parlikad, O Steinert, T Lindgren Neural Computing and Applications 35 (4), 3011-3024, 2023 | 13 | 2023 |
| Anomaly detection in a fleet of industrial assets with hierarchical statistical modeling M Dhada, M Girolami, AK Parlikad Data-Centric Engineering 1, e21, 2020 | 13 | 2020 |
| Secure and communications‐efficient collaborative prognosis M Dhada, AK Jain, M Herrera, M Perez Hernandez, AK Parlikad IET Collaborative Intelligent Manufacturing 2 (4), 164-173, 2020 | 12 | 2020 |
| Empirical convergence analysis of federated averaging for failure prognosis M Dhada, AK Jain, AK Parlikad IFAC-PapersOnLine 53 (3), 360-365, 2020 | 10 | 2020 |
| Product quality driven auto-prognostics: Low-cost digital solution for SMEs AK Jain, M Dhada, AK Parlikad, BK Lad IFAC-PapersOnLine 53 (3), 78-83, 2020 | 9 | 2020 |
| Predicting bridge elements deterioration, using collaborative gaussian process regression M Dhada, GM Hadjidemetriou, AK Parlikad IFAC-PapersOnLine 53 (3), 348-353, 2020 | 8 | 2020 |
| Comparison of agent deployment strategies for collaborative prognosis M Dhada, MP Hernández, AS Palau, AK Parlikad 2021 IEEE international conference on prognostics and health management …, 2021 | 7 | 2021 |
| A comprehensive framework from real‐time prognostics to maintenance decisions AK Jain, M Dhada, MP Hernandez, M Herrera, AK Parlikad IET Collaborative Intelligent Manufacturing 3 (2), 175-183, 2021 | 7 | 2021 |
| Feasibility and efficacy of mass testing for SARS-CoV-2 in a UK university using swab pooling and PCR B Warne, J Enright, M Metaxaki, S Fuller, RJ Samworth, G Weale, ... | 7 | 2021 |
| Knowledge transfer in engineering fleets: Hierarchical bayesian modelling for multitask learning L Bull, M Dhada, O Steinert, T Lindgren, AK Parlikad, AB Duncan, ... arXiv preprint, 2022 | 5 | 2022 |
| Influence of imperfect prognostics on maintenance decisions AK Jain, M Dhada, MP Hernandez, M Herrera, AK Parlikad International Conference on Precision, Meso, Micro & Nano Engineering (COPEN 11), 2019 | 4 | 2019 |
| Population-level modelling for truck fleet survival analysis L Bull, M Dhada, O Steinert, T Lindgren, AK Parlikad, M Girolami | 3 | 2022 |
| Low-cost very narrow aisle pallet racking vehicle utilisation monitoring solution M Dhada, J Macias-Aguayo, A Mukherjee, D McFarlane IET Digital Library, 2023 | 1 | 2023 |
Ajith Kumar ParlikadProfessor of Asset Management, University of CambridgeEmail verificata su cam.ac.uk
