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Maharshi Harshadbhai Dhada
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2020 – today
- 2025
- [j5]Luning Li, Manuel Herrera, Anandarup Mukherjee, Ge Zheng, Chen Chen, Maharshi Harshadbhai Dhada, Henry Brice, Arjun Parekh, Ajith Kumar Parlikad:
Predictive alarm models for improving radio access network robustness. Expert Syst. Appl. 259: 125312 (2025) - 2023
- [j4]Lawrence A. Bull, Domenic Di Francesco, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami:
Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning. Comput. Aided Civ. Infrastructure Eng. 38(7): 821-848 (2023) - [j3]Maharshi Harshadbhai Dhada, Ajith Kumar Parlikad, Olof Steinert, Tony Lindgren:
Weibull recurrent neural networks for failure prognosis using histogram data. Neural Comput. Appl. 35(4): 3011-3024 (2023) - 2022
- [i1]Lawrence A. Bull, Maharshi Harshadbhai Dhada, Olof Steinert, Tony Lindgren, Ajith Kumar Parlikad, Andrew B. Duncan, Mark Girolami:
Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning. CoRR abs/2204.12404 (2022) - 2021
- [c2]Maharshi Harshadbhai Dhada, Marco Pérez-Hernández, Adrià Salvador Palau, Ajith Kumar Parlikad:
Comparison of Agent Deployment Strategies for Collaborative Prognosis. ICPHM 2021: 1-8
2010 – 2019
- 2019
- [j2]Adrià Salvador Palau, Maharshi Harshadbhai Dhada, Kshitij Bakliwal, Ajith Kumar Parlikad:
An Industrial Multi Agent System for real-time distributed collaborative prognostics. Eng. Appl. Artif. Intell. 85: 590-606 (2019) - [j1]Adrià Salvador Palau, Maharshi Harshadbhai Dhada, Ajith Kumar Parlikad:
Multi-agent system architectures for collaborative prognostics. J. Intell. Manuf. 30(8): 2999-3013 (2019) - 2018
- [c1]Adrià Salvador Palau, Kshitij Bakliwal, Maharshi Harshadbhai Dhada, Tim Pearce, Ajith Kumar Parlikad:
Recurrent Neural Networks for real-time distributed collaborative prognostics. ICPHM 2018: 1-8
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