K. S. Dash, N. B. Puhan and G. Panda, Binary External Symmetry Axis Constellation for unconstrained handwritten character recognition, Pattern Recognition Letters, Elsevier, 2016 (in press).
K.S. Dash, N. B. Puhan and G. Panda,Odia Character Recognition: A Directional Review, Artificial Intelligence Review, Springer (accepted).
T. Panigrahi, Meenakshi Panda and G. Panda, Fault tolerant distributed estimation in wireless sensor networks, Journal of Network and Computer Applications,Elsevier, http://dx.doi.org/10.1016/j.jnca.2016.04.023
B. K. Mohanty, G. Singh and G. Panda, Hardware Design for VLSI Implementation of FxLMS and FsLMS based Active Noise Controllers, Circuits, Systems & Signal Processing, Springer, 2016.(Accepted)
Sudhansu Kumar Mishra, Ganapati Panda and Babita Majhi,"Prediction based mean-variance model for constrained portfolio assets selection using multiobjective evolutionary algorithms," Swarm and Evolutionary Computation (Elsevier), 2016.
Nirmal Kumar Rout, Debi Prasad Das and Ganapati Panda, "Particle Swarm Optimization based Nonlinear Active Noise Control under Saturation Nonlinearity", Applied Soft Computing (Elsevier), 2016.
Vasundhara, G. Panda and N. B. Puhan, A robust adaptive hybrid feedback cancellation scheme for hearing aids in the presence of outliers, Applied Acoustics, Elsevier, 102, pp: (2016) 146-155, 2016.
R. Panda, N. B. Puhan and G. Panda, New binary Haudorff symmetry measure based seeded region growing for retinal vessel segmentation, Biocybernetics and Biomedical Engineering, Elsevier, 2015(In Press).
K. S. Dash, N. B. Puhan and G. Panda, Handwritten numeral recognition using non-redundant Stockwell transform and bio-inspired optimal zoning, IET Image Processing, 9(10), pp: 874-882, 2015.
N. K. Rout, D. P. Das and G. Panda, Computationally efficient algorithm for high sampling frequency operation of active noise control, Mechanical systems and signal processing, Elsevier, 56-57, pp:302-319, 2015.
S. J. Nanda and G. Panda, Design of computationally efficient density based clustering algorithms, Data & knowledge Engineering, Elsevier, 95, pp:23-38, 2015.
N. V. George and G. Panda, "Development of a novel robust identification scheme for nonlinear dynamic systems", International Journal of Adaptive Control and Signal Processing, Wiley, 29, pp: 385-406, 2015.
T. Panigrahi, G. Panda and B Mulgrew, “Error Saturation Nonlinearities for Robust Incremental
LMS over Wireless Sensor Networks,'' ACM Transaction on Sensor Network, 11(2), article no. 27, 2015.
Sudhansu Kumar Mishra,Ganapati Panda, Ritanjali Majhi. Constrained portfolio asset selection using multiobjective bacteria foraging optimization”. Operational Research: An International Journal, Springer, 14 (1), pp:1-33, 2014.
U.K. Sahoo, G. Panda, B. Mulgrew, B. Majhi, "Development of robust distributed learning strategies for wireless sensor networks using rank based norms", Signal Processing, Elsevier, 101, pp: 218-222, 2014.
P. K. Rout, D.P. Acharya, G. Panda, "A Multiobjective Optimization Based Fast and Robust Design Methodology for Low Power and Low Phase Noise Current Starved VCO", IEEE Transactions on Semiconductor Manufacturing, 27(1), pp: 43,50, 2014.
M. Rout, B. Majhi, R. Majhi and G. Panda, "Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training", Journal of King Saud University-Computer and Information Sciences, Elsevier, 26(1), pp: 7-18, 2014.
S. K. Mishra,G. Panda and R. Majhi, "A Comparative Performance Assessment of a Set of Multiobjective Algorithms for Constrained Portfolio Assets Selection", Swarm and Evolutionary Computation, Elsevier, 16, pp:38-51, 2014.
Vasundhara, G. Panda and N. B. Puhan, An improved block adaptive system for effective feedback cancellation in hearing aids, Digital signal processing, Elsevier, 48, pp: 216-225, 2016.
P. K. Rout, B.P. Panda, D.P. Acharya and G. Panda, "Analysis and design of 1 GHz PLL for fast phase and frequency acquisition", International Journal of Signal and Imaging Systems Engineering, Inderscience, 7(1), pp: 30-37, 2014.
S. J. Nanda and G. Panda. "A survey on nature inspired metaheuristic algorithms for partitional clustering." Swarm and Evolutionary Computation, Elsevier, 16, pp: 1-18, 2014.
U.K.Sahoo, G. Panda, B. Mulgrew, B. Majhi “Robust Incremental Adaptive Strategies for Distributed networks to Handle Outliers in both Input and Desired Data” , Signal Processing, Elsevier, 96, pp: 300-309, 2014.
P. M. Pradhan and G. Panda, “Comparative performance analysis of evolutionary algorithm based parameter optimization in cognitive radio engine: A survey”, Ad Hoc Networks, Elsevier,17, pp:129-146, 2014.
V. Baghel and G. Panda, "Development and performance evaluation of an improved complex valued radar pulse compressor." Engineering Applications of Artificial Intelligence, Elsevier, 26(10), pp: 2653-2660, 2013.
P. M. Pradhan and G. Panda, Cooperative spectrum sensing in cognitive radio network using multiobjective evolutionary algorithms and fuzzy decision making, Adhoc Networks, Elsevier, 11(3), pp:1022-1036, 2013.