National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

All Publications

Ratnakar Dash

Associate Professor
ratnakar@nitrkl.ac.in

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. 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