Babji Srinivasan

Orcid: 0000-0001-9048-8692

According to our database1, Babji Srinivasan authored at least 30 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-class classification of control room operators' cognitive workload using the fusion of eye-tracking and electroencephalography.
Comput. Chem. Eng., February, 2024

2023
Graph Neural Network-Based Distribution System State Estimators.
IEEE Trans. Ind. Informatics, December, 2023

Active Foundational Models for Fault Diagnosis of Electrical Motors.
CoRR, 2023

Towards AI enabled automated tracking of multiple boxers.
CoRR, 2023

Foundational Models for Fault Diagnosis of Electrical Motors.
CoRR, 2023

Phasor data correction and transmission system state estimation under Man-in-the-Middle attack.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Punch Types and Range Estimation in Boxing Bouts Using IMU Sensors.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

2021
Enhanced Tensor Completion Based Approaches for State Estimation in Distribution Systems.
IEEE Trans. Ind. Informatics, 2021

Addressing practical challenges in Active Learning via a hybrid query strategy.
CoRR, 2021

Addressing Uncertainties within Active Learning for Industrial IoT.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

2020
Dynamic assessment of control room operator's cognitive workload using Electroencephalography (EEG).
Comput. Chem. Eng., 2020

Tensor Completion based State Estimation in Distribution Systems.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
Data-Driven Approaches for Diagnosis of Incipient Faults in DC Motors.
IEEE Trans. Ind. Informatics, 2019

A Framework for Efficient Information Aggregation in Smart Grid.
IEEE Trans. Ind. Informatics, 2019

Frequency-induced morphology alterations in microconfined biological cells.
Medical Biol. Eng. Comput., 2019

Recent developments towards enhancing process safety: Inherent safety and cognitive engineering.
Comput. Chem. Eng., 2019

2017
On the Detection of Valve Nonlinearities in Otherwise Linear Closed-Loop Systems.
IEEE Trans. Autom. Control., 2017

Quantifying situation awareness of control room operators using eye-gaze behavior.
Comput. Chem. Eng., 2017

2016
Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance.
IEEE Trans. Control. Syst. Technol., 2016

Eye gaze movement studies of control room operators: A novel approach to improve process safety.
Comput. Chem. Eng., 2016

2015
On-line performance monitoring of PEM fuel cell using a fast EIS approach.
Proceedings of the American Control Conference, 2015

2014
Data driven approach for performance assessment of linear and nonlinear Kalman filters.
Proceedings of the American Control Conference, 2014

2012
Control loop performance assessment using detrended fluctuation analysis (DFA).
Autom., 2012

2011
Computationally Efficient Identification of Global ARX Parameters With Guaranteed Stability.
IEEE Trans. Autom. Control., 2011

Kalman-based strategies for Fault Detection and Identification (FDI): Extensions and critical evaluation for a buffer tank system.
Comput. Chem. Eng., 2011

2010
Self-organised maps for online detection of faults in non-linear industrial processes.
Int. J. Autom. Control., 2010

Source separation in systems with correlated sources using NMF.
Digit. Signal Process., 2010

Stiction identification in nonlinear process control loops.
Comput. Chem. Eng., 2010

2009
Time-delay estimation in Closed-Loop Processes using Average Mutual Information Theory.
Control. Intell. Syst., 2009

Detection and Quantification of Control Valve nonlinearities Using Hilbert-Huang Transform.
Adv. Data Sci. Adapt. Anal., 2009


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