All Publications

D. R. Kalpana and R. Dash,"Distracted driver detection using stacking ensemble", in 2020 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), pp.1-5, IEEE, February 2020, 10.1109/SCEECS48394.2020.184       Inproceedings

R. Dash, B. Sanyal, and R. K. Mohapatra,"Traffic sign recognition: a survey", in 2020 international conference on artificial intelligence and signal processing (aisp), pp.1-6, IEEE 2020, 10.1109/aisp48273.2020.9072976       Inproceedings

B. Sanyal, R. K. Mohapatra, and R. Dash,"Fully Annotated Indian Traffic Signs Database for Recognition", in Soft Computing: Theories and Applications, pp.695-703, Springer, January 2020, 10.1007/978-981-15-4032-5_63       Inproceedings

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

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