B. Sanyal, R. K. Mohapatra, and R. Dash,"Real-time embedded TSR using MDEffNet: An efficient compact DNN on varied multi-resolution images across multiple databases", International Journal of Wavelets, Multiresolution and Information, World Sientific, December 2020, https://doi.org/10.1142/S0219691320500824       Article

S. Majhi, R. Dash, and P. K. Sa,"Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection", in International Conference on Computing, Communication and Networking Technologies, IEEE, icccnt-2020, Kharagpur, India 2020, 10.1109/icccnt49239.2020.9225378       Inproceedings

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

K. S. Sahoo, S. K. Panda, S. Sahoo, B. Sahoo, and R. Dash,"Toward secure software-defined networks against distributed denial of service attack", The Journal of Supercomputing, Springer, August 2019, https://doi.org/10.1007/s11227-019-02767-z       Article

B. V. Deep and R. Dash,"Underwater fish species recognition using deep learning techniques", in 2019 6th international Conference on Signal Processing and Integrated Networks (SPIN), pp.665-669, IEEE, Noida, India, India, March 2019, 10.1109/SPIN.2019.8711657       Inproceedings

P. Singh and R. Dash,"A two-step deep convolution neural network for road extraction from aerial images", in 2019 6th international Conference on Signal Processing and Integrated Networks (SPIN), pp.660-664, IEEE, Noida, India, India, March 2019, 10.1109/SPIN.2019.8711639       Inproceedings

S. Majhi, R. Dash, and P. K. Sa,"Two-stream CNN architecture for anomalous event detection in real world scenarios", in Computer Vision and Image Processing, vol.1148, pp.343-353, Springer, communications in computer and information science, March 2019, 10.1007/978-981-15-4018-9_31       Inproceedings