D. Muduli, R. Dash, and B. Majhi,"Automated Breast Cancer Detection in Digital Mammograms: A Moth Flame Optimization based ELM Approach", Biomedical Signal Processing and Control, vol.59, Elsevier, May 2020, https://doi.org/10.1016/j.bspc.2020.101912 Article
D. Das, D. R. Nayak, R. Dash, B. Majhi, and . Yu,"H-WordNet: a holistic convolutional neural network approach for handwritten word recognition", IET Image Processing, IET Digital Library, March 2020, 10.1049/iet-ipr.2019.1398 Article
D. R. Nayak, R. Dash, and B. Majhi,"Automated Diagnosis of Multi-class Brain Abnormalities using MRI Images: A Deep Convolutional Neural Network based Method", Pattern Recognition Letters, Elsevier 2020, https://doi.org/10.1016/j.patrec.2020.04.018 Article
D. Das, D. R. Nayak, R. Dash, and B. Majhi,"MJCN: Multi-objective Jaya Convolutional Network for handwritten optical character recognition", Multimedia Tools and Application, vol.79, pp.33023–33042, Springer, August 2020 Article
D. P. Chowdhury, S. Bakshi, P. K. Sa, and B. Majhi,"Semantic Ear Feature Reduction for Source Camera Identification", Multimedia Tools and Applications, vol.79, pp.35315-35331, Springer 2020, 10.1007/s11042-019-7665-6 Article
R. Raman, L. Boubchir, P. K. Sa, B. Majhi, and S. Bakshi,"Beyond estimating discrete directions of walk: a fuzzy approach", Machine Vision and Applications, vol.30, no.5, pp.901–917, Springer, July 2019, 10.1007/s00138-018-0939-6 Article
S. S. Barpanda, B. Majhi, P. K. Sa, A. K. Sangaiah, and S. Bakshi,"Iris feature extraction through wavelet mel-frequency cepstrum coefficients", Optics and Laser Technology, vol.110, pp.13-23, Elsevier, February 2019, 10.1016/j.optlastec.2018.03.002 Article
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