Journals | sode-edu.in/smvitm

Journals

Artificial Intelligence and Machine Learning

  1. Mamatha I, Shikha Tripathi, Sudarshan TSB., ‘Hybrid Architecture for Sinusoidal/Non sinusoidal Transforms”, J. Circuits, Systems and Signal Processing, vol.41, no.7, pp: 3903-3930, July 2022, Springer. SCI and Scopus indexed (Q2).
  2. Mamatha I, Sudarshan TSB, Shikha Tripathi, Nikhil Bhattar, “Triple-Matrix Product based 2- D Systolic Implementation of Discrete Fourier Transform “, J. Circuits, Systems and Signal Processing, vol.34, no.10, pp: 3221-3239, October 2015, Springer Publications. SCI and Scopus Indexed (Q2).
  3. M Likhit P, Naveen Kumar Reddy, S Jagadeeshwara Rao, V Nirmith Sudev, Mamatha I, ” Wireless Power Transmission: A Simulation Study”, International Journal of Control Theory and Applications, vol.9, no.43, pp.179-188,
  4. Deepa, Mamatha, I., and kumar, D. M. Vijaya, “Digital Simulation of SISO-ZVS-Push pull Quasi Resonant Converter for Different Loads”, International Journal of Engineering Research and Applications (IJERA), vol. 2, no. 4, pp. 896–901, 2012.

- Dr. MAMATHA I.

1. Rajesh Nayak and Jaidhar C D, “Anomalous Electrical Power Consumption Detection in
Household Appliances via Micro-Moment Classification,” IEEE Transaction on Artificial Intelligence,
IEEE. [Scopus and SCIE (Q1)] https://doi.org/10.1109/TAI.2025.3622104.
2. Rajesh Nayak and Jaidhar C D, “Enhancing Anomaly Detection in Critical Systems Using
Household Appliance Power Consumption Data,” IEEE Sensors Journal, 24, 17, 27677-27686 (2024).
[Scopus and SCIE (Q1)] https://doi.org/10.1109/JSEN.2024.3426090.
3. Rajesh Nayak and Jaidhar C D, “Data-driven models for electricity theft and anomalous power
consumption detection: a systematic review”, Applied Intelligence 55, 794 (2025). [Scopus and
SCIE (Q2)] https://doi.org/10.1007/s10489-025-06663-3
4. Rajesh Nayak and Jaidhar C D, “Employing Feature Extraction, Feature Selection, and Machine
Learning to Classify Electricity Consumption as Normal or Electricity Theft”, Recent Trends in
Computational Intelligence, SN Computer Science, 4, 483 (2023). [Scopus (Q2)]
https://doi.org/10.1007/s42979-023-01911-0.

- Dr. RAJESH NAYAK

  1. Santhosh, K. V., Shenoy, V., & Navada, B. R. (2016, August). Fault identification and isolation in pneumaticvalve using image processing. In 2016 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics(DISCOVER) (pp. 205-210). IEEE. DOI: 10.1109/DISCOVER.2016.7806219
  2. Shenoy, V., & Santhosh, K. V. (2021, January). Design Of Estimator For Level Monitoring Using Data Driven Model. In 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM) (pp. 81-86). IEEE. (Best paper award). DOI: 1 109/1CCAKM50778.2021.9357704
  3. Santhosh, K., & Shenoy, V. (2016). Analysis of liquid viscosity by image processing techniques. Indian J.Sci. Technol, 9, 98693. DOI: 10.17485/ijst/2016/v9i30/98693
  4. Shenoy, V., & Vekata, S. K. (2022). Estimation of Liquid Level in a Harsh Environment Using Chaotic Observer. Journal of Robotics and Control (JRC), 3(5), 566-582. DOI: https://doi.org/10.18196/jrc.v3i5.16183
  5. Shenoy, V., Shenoy, P., & Venkata, S. K. (2024). Accurate Liquid Level Measurement with Minimal Error: A Chaotic Observer Approach. Computation, 12(2), 29. DOI: https://doi.org/10.3390/computation12020029
  6. Shenoy, V., & KV, S. (2025). Exploring fluid flow through an orifice in an asymmetric serpentine microfluidic channel. cogent Engineering, 12(1), 2482566. DOI: mtps://d0i.org/lO.1080/2331 1916.20252482566
  7. Shenoy, V., & Krishnan Venkata, S. (2025). An In-Depth Analysis of Liquid Level Measurement Techniques and Performance Evaluation Using Computational Fluid Dynamics. Journal of Sensors, 2025(1), 4412250. DOI: https://d0i.org/lO.1 155/js/4412250

- Dr. VIGHNESH SHENOY

Ganesha Prasad, Vijay G. S., & Raghavendra Kamath C, “A Study of Dimensionality Reduction in GLCM Feature-Based Classification of Machined Surface Images,” Arab J Sci Eng, 2023, https://doi.org/10.1007/s13369-023-07854-1 (Q1- I.F -2.9)

Ganesha Prasad, Raghavendra Kamath C., & Vijay G. S, “A review on conventional and nonconventional machining of Nickel-based Nimonic superalloy”, Manufacturing Review,vol. 10, 2023, https://doi.org/10.1051/mfreview/2023009 (Q2)

Ganesha Prasad, Vijay G. S., Raghavendra Kamath C. & Harshit Jairaj Hemmady,“Optimization of the tool wear and surface roughness in the high-speed dry turning ofInconel 800’, Cogent Engineering, 2024, 10.1080/23311916.2024.2308993. (Q2, SCOPUS,Impact factor : 1.9, CiteScore : 3.2)

Ganesha Prasad, Raghavendra Kamath C., & Vijay G. S, “Comparative study onclassification of machined surfaces using ML techniques applied to GLCM based imagefeatures”, Materials Today: Proceedings, vol. 62, pp. 1440-1445, 2022, https://doi.org/10.1016/j.matpr.2022.01.285 (Q3)

- Dr. GANESHA PRASAD

  1. Megha Rani R, Harshavardhan H, “An Incentive and Trustworthy
    Systems With E-Star for Heterogenous Multihop Wireless Networks”,
    International Journal of Computer Sciences and Engineering,
    Vol.04, Issue.03, pp.114-119, 2016.
  2. . Megha Rani R, Roshan Acharya, “Digital Vaccination Passport Using
    Blockchain Technology”, International Journal of Innovative Science
    and Research Technology (IJISRT), Volume 7 – 2022, Issue 9 –
    September,
  3. Megha Rani R, Keerthesh “Agriculture Fund Granting Schemes”
    (Using Blockchain) International Journal of Innovative Science and
    Research Technology (IJISRT), Volume 7 – 2022, Issue 9 –
    September,
    1

- Ms. MEGHA RANI

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