Harsh V. P. Singh

Orcid: 0000-0003-0339-4909

According to our database1, Harsh V. P. Singh authored at least 12 papers between 2015 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
NLP-Based Approach for Predicting HMI State Sequences Towards Monitoring Operator Situational Awareness.
Sensors, 2020

Human-in-the-Loop Error Precursor Detection using Language Translation Modeling of HMI States.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Evaluation of ARIMA Models for Human-Machine Interface State Sequence Prediction.
Mach. Learn. Knowl. Extr., 2019

ViDAQ: A computer vision based remote data acquisition system for reading multi-dial gauges.
J. Ind. Inf. Integr., 2019

LSTM-based Approach to Monitor Operator Situation Awareness via HMI State Prediction.
Proceedings of the IEEE International Conference on Industrial Internet, 2019

2017
HMI-guard: A platform for detecting errors in human-machine interfaces.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

ViDAQ: A Framework for Monitoring Human Machine Interfaces.
Proceedings of the 20th IEEE International Symposium on Real-Time Distributed Computing, 2017

EYE-on-HMI: A Framework for monitoring human machine interfaces in control rooms.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Online detection of anomalous applications on the cloud.
Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

2016
Online characterization of buggy applications running on the cloud.
Proceedings of the 12th International Conference on Network and Service Management, 2016

2015
Two architectures for real-time sensor data streaming for cloud applications.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015

Optimizing application downtime through intelligent VM placement and migration in cloud data centers.
Proceedings of 25th Annual International Conference on Computer Science and Software Engineering, 2015


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