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ORCIDKrishnan Srinivasarengan
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2020 – today
- 2022
[j2]Krishnan Srinivasarengan, José Ragot, Christophe Aubrun, Didier Maquin:
Parameter Identifiability for Nonlinear LPV Models. Int. J. Appl. Math. Comput. Sci. 32(2): 255-269 (2022)- [c6]Mohamed Kerkech, Van-Tuan Bui, Michel Africano, Lise Martin, Krishnan Srinivasarengan:
Protocol Recognition in Virtual Avionics Network Based on Efficient and Lightweight Convolutional Neural Network. DS-RT 2022: 9-16 - 2020
- [i1]Krishnan Srinivasarengan, Taha Boukhobza, Samir Aberkane, Vincent Laurain:
Simultaneous Detectability of Process and Sensor Faults: Application to Water Distribution Networks. CoRR abs/2007.09401 (2020)
2010 – 2019
- 2018
- [j1]Krishnan Srinivasarengan, José Ragot, Christophe Aubrun, Didier Maquin
:
An adaptive observer design approach for a class of discrete-time nonlinear systems. Int. J. Appl. Math. Comput. Sci. 28(1): 55-67 (2018) - 2014
- [c5]Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra:
Home Energy Simulation for Non-Intrusive Load Monitoring Applications. ES4CPS@DATE 2014: 9 - [c4]Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra:
A Knowledge Based Approach for Disaggregation of Low Frequency Consumption Data. SIRS 2014: 85-94 - 2013
- [c3]Y. G. Goutam, M. Girish Chandra, Krishnan Srinivasarengan, Swanand Kadhe:
On electrical load disaggregation using factor graphs. ICACCI 2013: 1759-1764 - [c2]Krishnan Srinivasarengan, Y. G. Goutam, M. Girish Chandra, Swanand Kadhe:
A Framework for Non Intrusive Load Monitoring Using Bayesian Inference. IMIS 2013: 427-432 - 2012
- [c1]Krishnan Srinivasarengan, Laxman Mutyam, Madhu N. Belur, Mani Bhushan, A. P. Tiwari, M. G. Kelkar, M. Pramanik:
Flux estimation from Vanadium and Cobalt Self Powered Neutron Detectors (SPNDs): Nonlinear exact inversion and Kalman filter approaches. ACC 2012: 318-323
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