National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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All Publications

Banshidhar Majhi

Professor HAG
bmajhi@nitrkl.ac.in

S. Mishra, B. Majhi, and P. K. Sa,"Texture feature based classification on microscopic blood smear for acute lymphoblastic leukemia detection", Biomedical Signal Processing and Control, vol.47, pp.303-311, Elsevier, January 2019, 10.1016/j.bspc.2018.08.012       Article
A. Nanda, P. K. Sa, D. S. Chauhan, and B. Majhi,"A person re-identification framework by inlier-set group modeling for video surveillance", Journal of Ambient Intelligence and Humanized Computing, vol.9, no.48, pp.1-13, Springer, January 2019, 10.1007/s12652-017-0580-7       Article
D. R. Nayak, D. Das, R. Dash, S. Majhi, and B. Majhi,"Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images", Multimedia Tools and Applications, pp.1-16, Springer 2019, 10.1007/s11042-019-7233-0       Article
D. Das, D. R. Nayak, R. Dash, and B. Majhi,"An empirical evaluation of extreme learning machine: application to handwritten character recognition", Multimedia Tools and Applications, pp.1–29, Springer, February 2019, 10.1007/s11042-019-7330-0       Article
D. R. Nayak, R. Dash, B. Majhi, and U. R. Acharya,"Application of Fast Curvelet Tsallis Entropy and Kernel Random Vector Functional Link Network for Automated Detection of Multiclass Brain Abnormalities", Computerized Medical Imaging and Graphics, vol.77, Elsevier, October 2019, https://doi.org/10.1016/j.compmedimag.2019.101656       Article
D. R. Nayak, R. Dash, B. Majhi, and Y. Zhang,"A Hybrid Regularized Extreme Learning Machine for Automated Detection of Pathological Brain", Biocybernetics and Biomedical Engineering, vol.39, no.3, pp.880-892, Elsevier, September 2019, https://doi.org/10.1016/j.bbe.2019.08.005       Article
S. S. Sahoo, S. Mohanty, and B. Majhi,"Improved biometric-based mutual authentication and key agreement scheme using ECC", Wireless Personal Communications, vol.111, pp.991-1017, Springer Nature, October 2019, View Details       Article
D. R. Nayak, R. Dash, and B. Majhi,"Pathological brain detection using curvelet features and least squares SVM", Multimedia Tools and Applications, vol.77, no.3, pp.3833-3856, Springer, November 2018, 10.1007/s11042-016-4171-y       Article
S. S. Barpanda, P. K. Sa, Oge. Marques, B. Majhi, and S. Bakshi,"Iris recognition with tunable filter bank based feature", Multimedia Tools and Applications, vol.77, no.6, pp.7637-7674, Springer, March 2018, 10.1007/s11042-017-4668-z       Article
S. Bakshi, P. K. Sa, W. H, S. S. Barpanda, and B. Majhi,"Fast periocular authentication in handheld devices with reduced phase intensive local pattern", Multimedia Tools and Applications, vol.77, no.14, pp.17595-17623, Springer, July 2018, 10.1007/s11042-017-4965-6       Article