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Prof. Banshidhar Majhi
Prof. Banshidhar Majhi
Vice-Chancellor, VSSUT Burla, Odisha, On Lien, Computer Science and Engineering, NIT Rourkela
Verified email at nitrkl.ac.in - Homepage
Title
Cited by
Cited by
Year
Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests
DR Nayak, R Dash, B Majhi
Neurocomputing 177, 188-197, 2016
2332016
Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer
S Beura, B Majhi, R Dash
Neurocomputing 154, 1-14, 2015
2232015
Novel features for off-line signature verification
B Majhi, YS Reddy, DP Babu
International Journal of Computers Communications & Control 1 (1), 17-24, 2006
1272006
Gray level co-occurrence matrix and random forest based acute lymphoblastic leukemia detection
S Mishra, B Majhi, PK Sa, L Sharma
Biomedical Signal Processing and Control 33, 272-280, 2017
1092017
Motion blur parameters estimation for image restoration
R Dash, B Majhi
Optik 125 (5), 1634-1640, 2014
952014
Fast segmentation and adaptive SURF descriptor for iris recognition
H Mehrotra, PK Sa, B Majhi
Mathematical and Computer Modelling 58 (1-2), 132-146, 2013
822013
Texture feature based classification on microscopic blood smear for acute lymphoblastic leukemia detection
S Mishra, B Majhi, PK Sa
Biomedical Signal Processing and Control 47, 303-311, 2019
802019
Crow search based virtual machine placement strategy in cloud data centers with live migration
A Satpathy, SK Addya, AK Turuk, B Majhi, G Sahoo
Computers & Electrical Engineering 69, 334-350, 2018
772018
Robust iris indexing scheme using geometric hashing of SIFT keypoints
H Mehrotra, B Majhi, P Gupta
Journal of Network and Computer Applications 33 (3), 300-313, 2010
762010
A new optimal delay and energy efficient coordination algorithm for WSAN
J Kakarla, B Majhi
2013 IEEE International Conference on Advanced Networks and …, 2013
612013
Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection
DR Nayak, R Dash, B Majhi
Neurocomputing 282, 232-247, 2018
562018
An evaluation of background subtraction for object detection vis-a-vis mitigating challenging scenarios
SK Choudhury, PK Sa, S Bakshi, B Majhi
IEEE Access 4, 6133-6150, 2016
552016
Improved offline signature verification scheme using feature point extraction method
D Jena, B Majhi, SK Panigrahy, SK Jena
2008 7th IEEE International Conference on Cognitive Informatics, 475-480, 2008
542008
Intensity range based background subtraction for effective object detection
KK Hati, PK Sa, B Majhi
IEEE Signal Processing Letters 20 (8), 759-762, 2013
532013
Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach
D Muduli, R Dash, B Majhi
Biomedical Signal Processing and Control 59, 101912, 2020
522020
Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach
DR Nayak, R Dash, B Majhi, V Prasad
Expert Systems with Applications 88, 152-164, 2017
502017
Fast periocular authentication in handheld devices with reduced phase intensive local pattern
S Bakshi, PK Sa, H Wang, SS Barpanda, B Majhi
Multimedia Tools and Applications 77 (14), 17595-17623, 2018
492018
A novel phase-intensive local pattern for periocular recognition under visible spectrum
S Bakshi, PK Sa, B Majhi
Biocybernetics and Biomedical Engineering 35 (1), 30-44, 2015
422015
Mammogram classification using contourlet features with forest optimization-based feature selection approach
F Mohanty, S Rup, B Dash, B Majhi, MNS Swamy
Multimedia Tools and Applications 78 (10), 12805-12834, 2019
412019
Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain
DR Nayak, R Dash, B Majhi, S Wang
Computers & Electrical Engineering 68, 366-380, 2018
412018
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