Journals
[10] N. Kumar, S. Kumar, and A. Ghosh, "Identification of Dominant Perturbation Segments for Voltammetric E-Tongue Sensor Applications," IEEE Sensors Journal, vol. 24, no. 21, Sep. 2024. [SCI]
[ DOI: https://doi.org/10.1109/JSEN.2024.3458168 ]
[9] S. Kumar, "Identification of Dominant Equivalent Circuit Elements of Voltammetric Sensor System," IEEE Sensors Journal, vol. 24, no. 5, pp. 6312-6319, March 2024. [SCI]
[ DOI: https://doi.org/10.1109/JSEN.2024.3350915 ]
[8] S. Kumar and A. Ghosh, "Effect of Tea Infusion Strength on Equivalent Circuit Parameters of Multi-Electrode Voltammetric Sensor System," IEEE Sensors Journal, vol. 22, no. 24, pp. 24044-24051, Dec. 2022. [SCI]
[ DOI: https://doi.org/10.1109/JSEN.2022.3220642 ]
[7] S. Kumar and A. Ghosh, "A Feature Extraction Method Using Linear Model Identification of Voltammetric Electronic Tongue," IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 11, pp. 9243-9250, Nov. 2020. [SCI]
[Link: https://ieeexplore.ieee.org/document/9093818]
[6] S. Kumar, B. Tudu, and A. Ghosh, "Nonlinear Modelling of Voltammetric Sensor Signals: Application to the E-Tongue Measurement ," IEEE Sensors Journal, vol. 20, no. 23, pp. 14237-14244, Dec. 2020. [SCI]
[Link: https://ieeexplore.ieee.org/document/9137250 ]
[5] S. Kumar and A. Ghosh, “Identification of fractional order model for a voltammetric E-tongue system,” Measurement, vol. 150, Art. no. 107064, Jan. 2020. [SCI]
[Link: https://www.sciencedirect.com/science/article/pii/S0263224119309303]
[4] S. Kumar and A. Ghosh, "An Improved Fractional-Order Circuit Model for Voltammetric Taste Sensor System with Infused Tea as Analyte," IEEE Sensors Journal, vol. 20, no. 14, pp. 7792-7800, July 2020. [SCI]
[Link: https://ieeexplore.ieee.org/document/9032133]
[3] A. Bhuyan, B. Tudu, R. Bandopadhyay, A. Ghosh, and S. Kumar, “Extended Kalman Filtering for Estimation of Parasitic Artifacts in Three Electrode Electrochemical Sensors,” IEEE Sensors Letters, vol. 3, no. 10, pp. 1–4, Oct. 2019. [Scopus]
[Link: https://ieeexplore.ieee.org/document/8847401]
[2] S. Kumar, A. Ghosh, B. Tudu, and R. Bandyopadhyay, “A circuit model estimation of voltammetric taste measurement system for black tea,” Measurement, vol. 140, pp. 609–621, Jul. 2019. [SCI]
[Link: https://www.sciencedirect.com/science/article/pii/S0263224119303197]
[1] A. Bhuyan, B. Tudu, R. Bandyopadhyay, A. Ghosh, and S. Kumar, “ARMAX Modeling and Impedance Analysis of Voltammetric E-Tongue for Evaluation of Infused Tea,” IEEE Sensors Journal, vol. 19, no. 11, pp. 4098–4105, Jun. 2019. [SCI]
[Link: https://ieeexplore.ieee.org/document/8638784]
Conference papers
[8] S. Santra, M. De, and S. Kumar, “Enhancing Load Frequency Control of Renewable Energy based Hybrid Microgrid Integrated with EV Aggregator using Transit Search Optimization,” 4th International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), 2024, pp. 1-6.
[Link: https://doi.org/10.1109/ICEFEET64463.2024.10866960 ]
[7] S. Kumar and A. Ghosh, "A Comprehensive Analysis of Clustering Propensity of Model Parameters of Voltammetric System," 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), 2023, pp. 1-4.
[Link: https://ieeexplore.ieee.org/document/10452185 ]
[6] Supriya, S. Kumar, A. Ghosh, A.K. Hazarika, S. Sabhapondit, B. Tudu, and R. Bandyopadhyay, “A Wavelength Selection Method for NIR Spectra to Facilitate Development of Neural Network Based Calibration Models,” in 7th Asian Near Infrared Symposium, 2020.
[Link:https://www.researchgate.net/publication/339512532_A_Wavelength_Selection_Method_for_NIR_Spectra_to_Facilitate_Development_of_Neural_Network_Based_Calibration_Models ]
[5] S. Kumar, A. Ghosh, and R. Bandyopadhyay, “Parameter Estimation of Randles Model of Electronic Tongue Using System Identification,” in 2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 2019, pp. 1–4.
[Link: https://ieeexplore.ieee.org/document/8823202 ]
[4] S. Kumar, M. Kumar, and A. Ghosh, “A New Approach of Modeling the Electronic Tongue Sensors for Classification,” in 2018 IEEE SENSORS, 2018, pp. 1–4.
[Link: https://ieeexplore.ieee.org/document/8589601]
[3] M. Kumar, S. Kumar, A. Gupta, and A. Ghosh, “Development of Electronic Interface for Sensing Applications with Voltammetric Electronic Tongue,” in 2018 IEEE SENSORS, 2018, pp. 1–4.
[Link: https://ieeexplore.ieee.org/document/8589506]
[2] S. Kumar, P. Kumar, and A. Ghosh, “Independent Component Regression for the Development of Prediction Model for Analysis of Electronic Tongue Response,” in 2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT), 2018, pp. 1–4.
[Link: https://ieeexplore.ieee.org/document/8470427]
[1] S. Kumar, A. Ghosh, B. Tudu, and R. Bandyopadhyay, “An equivalent electrical network of an electronic tongue: A case study with tea samples,” in 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 2017, pp. 1–3.
[Link: https://ieeexplore.ieee.org/document/7968930]