Saurav Gupta

Orcid: 0000-0003-2059-1760

According to our database1, Saurav Gupta authored at least 13 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Thread Detection and Response Generation using Transformers with Prompt Optimisation.
CoRR, 2024

2022
Recursive least squares identification of heat exchanger system using block-structured models.
J. Syst. Control. Eng., 2022

Semi-supervised Domain Adaptation by Similarity Based Pseudo-Label Injection.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

ViTOL: Vision Transformer for Weakly Supervised Object Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Energy Efficient Distributed Volterra Modeling Approach with ADMM-Based Sparse Signal Recovery.
Wirel. Pers. Commun., 2021

2020
Wireless Sensor Network-Based Distributed Approach to Identify Spatio-Temporal Volterra Model for Industrial Distributed Parameter Systems.
IEEE Trans. Ind. Informatics, 2020

In-Network Distributed Least-Mean-Square Identification of Nonlinear Systems Using Volterra-Laguerre Model.
J. Circuits Syst. Comput., 2020

2019
AISS for Road Anomaly Detection using WSN-Based Distributed Strategy.
Proceedings of the 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2019

2018
Nonlinear space-time varying parameter estimation using consensus-based in-network distributed strategy.
Digit. Signal Process., 2018

ADMM Based Distributed Volterra Modeling of Nonlinear Dynamical Systems Using Ad-Hoc WSNs.
Proceedings of the 9th International Conference on Computing, 2018

In-Network Distributed Identification of Wiener and Volterra-Laguerre Models for Nonlinear Systems.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Partial diffusion over distributed networks to reduce inter-node communication.
Proceedings of the 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2017

2016
Wind ramp event prediction with parallelized gradient boosted regression trees.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016


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