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
Multi-agent system architectures for collaborative prognostics
AS Palau, MH Dhada, AK Parlikad
Journal of Intelligent Manufacturing 30 (8), 2999-3013, 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
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
Federated Learning for Collaborative Prognosis
M Dhada, A Parlikad, AS Palau
Influence of imperfect prognostics on maintenance decisions
A Jain, M Dhada, ME Perez Hernandez, M Herrera, A Parlikad
Secure and communications-efficient collaborative prognosis
M Dhada, AK Jain, M Herrera, MP Hernandez, AK Parlikad
IET Collaborative Intelligent Manufacturing, 2020
Empirical Convergence Analysis of Federated Averaging for Failure Prognosis
M Dhada, AK Jain, A Parlikad
Predicting Bridge Elements Deterioration, using Collaborative Gaussian Process Regression
M Dhada, G Hadjidemetriou, A Parlikad
Product Quality Driven Auto-Prognostics: Low-Cost Digital Solution for SMEs
A Jain, M Dhada, A Parlikad, BK Lad
Distributed Job Scheduling Using Multi-Agent System
S Kumar, BK Lad, MH Dhada, K Bakliwal
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