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ORCIDDeepak Kumar Raghuvanshi
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Journal Articles
- 2021
[j6]Rahul Singh
, Aditya Goel, Deepak Kumar Raghuvanshi:
Binary glioma grading framework employing locality preserving projections and Gaussian radial basis function support vector machine. Int. J. Imaging Syst. Technol. 31(4): 2047-2059 (2021)- [j5]Rahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi:
M.R. brain tumor classification employing ICA and kernel-based support vector machine. Signal Image Video Process. 15(3): 501-510 (2021) - [j4]Rahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi:
Computer-aided diagnostic network for brain tumor classification employing modulated Gabor filter banks. Vis. Comput. 37(8): 2157-2171 (2021) - 2020
- [j3]Rahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi:
Ensemble-based glioma grade classification using Gabor filter bank and rotation forest. IET Image Process. 14(15): 3851-3858 (2020) - [j2]Shubhojeet Chatterjee, Rini Smita Thakur, Ram Narayan Yadav, Lalita Gupta, Deepak Kumar Raghuvanshi:
Review of noise removal techniques in ECG signals. IET Signal Process. 14(9): 569-590 (2020) - 2018
- [j1]Dharmendra Sadhwani, Ram Narayan Yadav, Supriya Aggarwal, Deepak Kumar Raghuvanshi:
Simple and accurate SEP approximation of hexagonal-QAM in AWGN channel and its application in parametric α - μ , η - μ , κ - μ fading, and log-normal shadowing. IET Commun. 12(12): 1454-1459 (2018)
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