Publications
Journal Publications
- Sharma, A. & Agarwal, B. (2020). A cyber-physical system approach for
model-based predictive
control and modeling of covid-19 in India.Journal of Interdisciplinary
Mathematics, Taylor Francis.
- Ashish Sharma, Rahul Singh Tanwar, Yash Singh, Ajay Sharma, Shaktiraj Daudra, Gaurav Singal, Thippa Reddy Gadekallu, Sidharth Pancholi,
Heart rate and blood pressure measurement based on photoplethysmogram signal using fast Fourier transform, Computers and Electrical Engineering, Volume 101, 2022, 108057, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.108057. (https://www.sciencedirect.com/science/article/pii/S0045790622003160).
- Gupta, Y., Bhargava, L., Sharma, A. & Gaur, M. (2019). Hybrid buffers
based coarse-grained power
gated-network on-chip router microarchitecture.International Journal of
Electronics, Taylor Francis,0,
1–16.doi:10.1080/00207217.2019.1644674
- Gupta, N., Sharma, A., Vijay Laxmi, M. S. G., Zwolinski, M. & Bishnoi,
R.
(2016).Sigma-nlbdr: generic congestion handling routing implementation for
two-dimensional mesh
network-on-chip.IETComputersDigitalTechniques,10,
26–232(6).http://hdl.handle.net/10108/79286
- Sharma, A. & Iteeshree. (2013). Detection of brain tumor of fetus edge
–detection on mri images
andimplementation on fpga.Elixir Image Processing, Elixir International
Journal,0, 1–6.
Sumit, S. &
- Sharma, A. (2010). An alternative approach to two phase encryption using
back-
propagation feed forward neural technique. International Journal of
Computational Intelligence Research,
1–6.
Conference Publications
- Ashish Sharma, Tapas Badal, Akshat Gupta, Arpit Gupta, Aman Anand. An
Intelligent Sign Communication
Machine for People Impaired with Hearing and Speaking Abilities.Advanced
Computing 10th International
Conference, IACC 2020, Panaji, Goa, India, December 5–6, 2020.
- Dabkara, M., Gupta, Y., Sharma, N. & Sharma, A. (2020). A solar pv
standalone system with
predictivecurrent controlled voltage source inverter. In2020 3rd
international conference on emerging
technologies incomputer engineering: Machine learning and internet of things
(icetce)(pp. 1–6).
- Sharma, A., Tailor, M., Bhargava, L. & Gaur, M. S. (2019). 3d lbdr:
Logic-based distributed routing
for 3dnoc. In S. Rajaram, N. Balamurugan, D. Gracia Nirmala Rani & V.
Singh (Eds.),Vlsi design and
test(pp. 473–482). Singapore: Springer Singapore.
- Sharma, A., Gupta, Y., Yadav, S., Bhargava, L., Gaur, M. S. & Laxmi, V.
(2017). A power, thermal
andreliability-aware network-on-chip. In2017 ieee international symposium on
nanoelectronic andinformation
systems (inis)(pp. 243–245). doi:10.1109/iNIS.2017.55
- Sharma, A., Ansar, R., Gaur, M. S., Bhargava, L. & Laxmi, V. (2016).
Reducing fifo buffer power
usingarchitectural alternatives at rtl. In2016 20th international symposium
on vlsi design and test
(vdat)(pp. 1–2). doi:10.1109/ISVDAT.2016.8064897
-
Ansar, R., Upadhyay, P., Singhal, M., Sharma, A. & Gaur, M. S. (2015).
Characterizing impacts of
multi-vtrouters on power and reliability of network-on-chip. In2015 eighth
international conference
oncontemporary computing (ic3)(pp. 476–480). doi:10.1109/IC3.2015.7346729
-
Gaur, M. S., Laxmi, V., Zwolinski, M., Kumar, M., Gupta, N. & A.Sharma.
(2015). Network-on- chip:Current
issues and challenges. In2015 19th international symposium on vlsi design
and test(pp.
1–3).doi:10.1109/ISVDAT.2015.7208160
-
Sharma, A., Upadhyay, P., Ansar, R., Laxmi, V., Bhargava, L., Gaur, M. S.
& Zwolinski, M. (2015).
Aframework for thermal aware reliability estimation in 2d noc. In2015 19th
international symposium onvlsi
design and test(pp. 1–6). doi:10.1109/ISVDAT.2015.7208063
- Gupta, N., Kumar, M., Sharma, A., Gaur, M. S., Laxmi, V., Daneshtalab, M.
& Ebrahimi, M.
(2015).Improved route selection approaches using q-learning framework for 2d
nocs. InProceedings of the
3rdinternational workshop on many-core embedded systems(pp. 33–40). MES
’15.doi:10.1145/2768177.2768180
- Gupta, N., Kumar, M., Sharma, A., Gaur, M. S., Laxmi, V., Daneshtalab, M.
& Ebrahimi, M.
(2015).Improved route selection approaches using q-learning framework for 2d
nocs. InProceedings of the
3rdinternational workshop on many-core embedded systems(pp. 33–40). MES
’15.doi:10.1145/2768177.2768180