Recurrent Neural Networks for real-time distributed collaborative prognostics. - Adrià Salvador Palau; Kshitij Bakliwal; Maharshi Harshadbhai Dhada; Tim Pearce; Ajith Kumar Parlikad (ICPHM, 2018)

An Industrial Multi Agent System for real-time distributed collaborative prognostics. - Adrià Salvador Palau; Maharshi Harshadbhai Dhada; Kshitij Bakliwal; Ajith Kumar Parlikad (Eng. Appl. Artif. Intell., 2019)

Multi-agent system architectures for collaborative prognostics. - Adrià Salvador Palau; Maharshi Harshadbhai Dhada; Ajith Kumar Parlikad (J. Intell. Manuf., 2019)

Comparison of Agent Deployment Strategies for Collaborative Prognosis. - Maharshi Harshadbhai Dhada; Marco Pérez-Hernández; Adrià Salvador Palau; Ajith Kumar Parlikad (ICPHM, 2021)

Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning. - Lawrence A. Bull; Maharshi Harshadbhai Dhada; Olof Steinert; Tony Lindgren; Ajith Kumar Parlikad; Andrew B. Duncan; Mark Girolami (CoRR, 2022)

Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning. - Lawrence A. Bull; Domenic Di Francesco; Maharshi Harshadbhai Dhada; Olof Steinert; Tony Lindgren; Ajith Kumar Parlikad; Andrew B. Duncan; Mark Girolami (Comput. Aided Civ. Infrastructure Eng., 2023)

Weibull recurrent neural networks for failure prognosis using histogram data. - Maharshi Harshadbhai Dhada; Ajith Kumar Parlikad; Olof Steinert; Tony Lindgren (Neural Comput. Appl., 2023)

Predictive alarm models for improving radio access network robustness. - Luning Li; Manuel Herrera; Anandarup Mukherjee; Ge Zheng; Chen Chen 073; Maharshi Harshadbhai Dhada; Henry Brice; Arjun Parekh; Ajith Kumar Parlikad (Expert Syst. Appl., 2025)

Collaborative prognosis using a Weibull statistical hierarchical model. - Maharshi Harshadbhai Dhada; Lawrence A. Bull; Mark Girolami; Ajith Kumar Parlikad (Reliab. Eng. Syst. Saf., 2025)