D. R. Nayak, R. Dash, and B. Majhi,"Discrete ripplet-II transform and modified PSO based improved evolutionary extreme learning machine for pathological brain detection", Neurocomputing, vol.282, pp.232-247, Elsevier, March 2018, 10.1016/j.neucom.2017.12.030 Article
D. R. Nayak, R. Dash, and B. Majhi,"An improved pathological brain detection system based on two-dimensional PCA and evolutionary extreme learning machine", Journal of Medical Systems, vol.42, no.19, Springer, January 2018, 10.1007/s10916-017-0867-4 Article
D. R. Nayak, R. Dash, and B. Majhi,"Development of pathological brain detection system using Jaya optimized improved extreme learning machine and orthogonal ripplet-II transform", Multimedia Tools and Applications, vol.77, no.17, pp.22705-22733, Springer 2018, 10.1007/s11042-017-5281-x Article
K. S. Sahoo, M. Tiwari, B. Sahoo, R. Dash, and K. Naik,"DSSDN: Demand-supply based load balancing in Software-Defined Wide-Area Networks", International Journal of Network Management, vol.28, no.4, pp.1-25, John Wiley & Sons, May 2018, 10.1002/nem.2022 Article
K. S. Sahoo, D. Puthal, M. Tiwary, J. J. Rodrigues, B. Sahoo, and R. Dash,"An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics", Future Generation Computer Systems, vol.89, pp.685-697, Elsevier, December 2018, 10.1016/j.future.2018.07.017 Article
D. R. Nayak, R. Dash, X. Chang, B. Majhi, and S. Bakshi,"Automated diagnosis of pathological brain using fast curvelet entropy features", IEEE Transactions on Sustainable Computing, pp.1-12, IEEE, November 2018, 10.1109/TSUSC.2018.2883822 Article
D. Das, R. Dash, and B. Majhi,"optimization based feature generation for handwritten odia-numeral recognition", in 2018 fourteenth international conference on information processing (icinpro), pp.1-5, IEEE 2018, 10.1109/ICINPRO43533.2018.9096757 Inproceedings
D. R. Nayak, R. Dash, Z. Lu, S. Lu, and B. Majhi,"SCA-RELM: A new regularized extreme learning machine based on sine cosine algorithm for automated detection of pathological brain", in 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp.764-769, IEEE, Nanjing, August 2018, 10.1109/ROMAN.2018.8525509 Inproceedings
D. R. Nayak, R. Dash, B. Majhi, and V. Prasad,"Automated pathological brain detection system: A fast discrete curvelet transform and probabilistic neural network based approach", Expert Systems with Applications, vol.88, pp.152-164, Elsevier, December 2017, 10.1016/j.eswa.2017.06.038 Article
K. S. Sahoo, B. Sahoo, R. Dash, and B. K. Mishra,"Improving resiliency in SDN using routing tree algorithms", International Journal of Knowledge Discovery in Bioinformatics, vol.7, no.1, pp.42-57, IGI Global, June 2017, 10.4018/IJKDB.2017010104 Article