G. Indumathi

Sridevi, S. ., & Indumathi, G. . (2024). Label Switched based 2DNoC for streaming platform. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICNEWS60873.2024.10730823

Chetan, H. ., & Indumathi, G. . (2016). Low power VLSI implementation of data compression for multimedia devices using CDF m/n DWT on to resource constrained dynamically reconfigurable memories. Institute of Electrical and Electronics Engineers Inc.

Sridevi, S. ., & Indumathi, G. . (2016). A review on 3D Network on Chip: Architecture design and optimization of multi-core media applications. Institute of Electrical and Electronics Engineers Inc.

Mamatha, N. ., Sridevi, S. ., Indumathi, G. ., & Venkateswaran, K. . (2019). 2D and 3D based network on chip for a stream of data using label switching technique. International Journal of Engineering and Advanced Technology, 9(1), 418-423. https://doi.org/10.35940/ijeat.A9407.109119

Kumar, R. ., Srinivasan, S. ., Indumathi, G. ., & Dzitac, S. . (2018). A communication viewpoints of distributed energy resource. Springer Verlag. https://doi.org/10.1007/978-3-319-62521-8_10

Udgirkar, G. ., & Indumathi, G. . (2019). Consideration of net weights for performance driven routing. International Journal of Engineering and Advanced Technology, 8(3), 463-467.

Shruthi, M. ., Harsha, B. ., & Indumathi, G. . (2020). Implementation of Visible Foreground Abstraction Algorithm in MATLAB Using Raspberry Pi. In Lecture Notes in Networks and Systems (Vol. 98, pp. 248-254). Springer. https://doi.org/10.1007/978-3-030-33846-6_28

Udgirkar, G. ., & Indumathi, G. . (2019). Research on net weighting schemes in performance driven global routing. International Journal of Recent Technology and Engineering, 8(2 Special Issue 3), 1145-1150. https://doi.org/10.35940/ijrte.B1212.0782S319

Udgirkar, G. ., & Indumathi, G. . (2016). VLSI global routing algorithms: A survey. Institute of Electrical and Electronics Engineers Inc.

Kumar, K. S., Chetan, H. ., & Indumathi, G. . (2020). A Novel Image Compression Approach Using DTCWT and RNN Encoder. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/B-HTC50970.2020.9297955