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Maharshi Dhada
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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
392018
Multi-agent system architectures for collaborative prognostics
A Salvador Palau, MH Dhada, AK Parlikad
Journal of Intelligent Manufacturing 30, 2999-3013, 2019
312019
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
292019
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
252022
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 managementá…, 2018
242018
Federated learning for collaborative prognosis
M Dhada, AK Parlikad, AS Palau
122020
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
92020
Anomaly detection in a fleet of industrial assets with hierarchical statistical modeling
M Dhada, M Girolami, AK Parlikad
Data-Centric Engineering 1, e21, 2020
92020
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
82020
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, ...
Research Square, 2021
52021
Empirical convergence analysis of federated averaging for failure prognosis
M Dhada, AK Jain, AK Parlikad
IFAC-PapersOnLine 53 (3), 360-365, 2020
52020
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
52019
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
42023
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
42021
Comparison of agent deployment strategies for collaborative prognosis
M Dhada, MP Hernßndez, AS Palau, AK Parlikad
2021 IEEE International Conference on Prognostics and Health Managementá…, 2021
32021
Predicting bridge elements deterioration, using collaborative gaussian process regression
M Dhada, GM Hadjidemetriou, AK Parlikad
IFAC-PapersOnLine 53 (3), 348-353, 2020
32020
Knowledge transfer in engineering fleets: Hierarchical bayesian modelling for multi-task learning
LA Bull, M Dhada, O Steinert, T Lindgren, AK Parlikad, AB Duncan, ...
arXiv preprint arXiv:2204.12404, 2022
22022
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
12023
Distributed job scheduling using multi-agent system
S Kumar, BK Lad, MH Dhada, K Bakliwal
Proceedings of the International Conference on Industrial Engineering andá…, 2019
12019
Demographic Influence on the Effectiveness of England's SARS-CoV-2 Policies
M Dhada, J Labra Montes
medRxiv, 2023.04. 25.23288871, 2023
2023
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Articles 1–20