Venkata Padmavati Metta

According to our database, Venkata Padmavati Metta authored at least 10 papers between 2009 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Pure Hexagonal Context-Free Grammars Generating Hexagonal Patterns.

Pawan Kumar Patnaik, Venkata Padmavati Metta, Jyoti Singh, D. Gnanaraj Thomas

Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2018

2015

Sorting Using Spiking Neural P Systems with Anti-spikes and Rules on Synapses.

Venkata Padmavati Metta, Alica Kelemenová

Proceedings of the Membrane Computing, 2015

2014

Smaller Universal Spiking Neural P Systems with Anti-Spikes.

Venkata Padmavati Metta, Alica Kelemenová

J. Autom. Lang. Comb., 2014

Universality of Spiking Neural P Systems with Anti-spikes.

Venkata Padmavati Metta, Alica Kelemenová

Proceedings of the Theory and Applications of Models of Computation, 2014

Spiking Neural P Systems with Cooperating Rules.

Venkata Padmavati Metta, Srinivasan Raghuraman, Kamala Krithivasan

Proceedings of the Membrane Computing, 2014

Small Universal Spiking Neural P Systems with Cooperating Rules as Function Computing Devices.

Venkata Padmavati Metta, Srinivasan Raghuraman, Kamala Krithivasan

Proceedings of the Membrane Computing, 2014

2011

Modelling and analysis of spiking neural P systems with anti-spikes using Pnet lab.

Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg

Nano Commun. Networks, 2011

On String Languages Generated by Spiking Neural P Systems with Anti-Spikes.

Kamala Krithivasan, Venkata Padmavati Metta, Deepak Garg

Int. J. Found. Comput. Sci., 2011

2010

Representation of Spiking Neural P Systems with Anti-spikes through Petri Nets.

Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg

Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010

2009

Modeling Spiking Neural P Systems using Timed Petri Nets.

Venkata Padmavati Metta, Kamala Krithivasan, Deepak Garg

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009