Deepak Kumar Raghuvanshi - researchr alias

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Viewing Publication 1 - 6 from 6

2021

M.R. brain tumor classification employing ICA and kernel-based support vector machineRahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi. sivp, 15(3):501-510, 2021. [doi]

Binary glioma grading framework employing locality preserving projections and Gaussian radial basis function support vector machineRahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi. imst, 31(4):2047-2059, 2021. [doi]

Computer-aided diagnostic network for brain tumor classification employing modulated Gabor filter banksRahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi. vc, 37(8):2157-2171, 2021. [doi]

2020

Review of noise removal techniques in ECG signalsShubhojeet Chatterjee, Rini Smita Thakur, Ram Narayan Yadav, Lalita Gupta, Deepak Kumar Raghuvanshi. iet-spr, 14(9):569-590, 2020. [doi]

Ensemble-based glioma grade classification using Gabor filter bank and rotation forestRahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi. iet-ipr, 14(15):3851-3858, 2020. [doi]

2018

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 shadowingDharmendra Sadhwani, Ram Narayan Yadav, Supriya Aggarwal, Deepak Kumar Raghuvanshi. iet-com, 12(12):1454-1459, 2018. [doi]

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