Akhil Ranjan Garg

Orcid: 0000-0003-1778-2718

Affiliations:
  • MBM University, Jodhpur, India


According to our database1, Akhil Ranjan Garg authored at least 11 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Deep Learning Model for Recognition of Handwritten Devanagari Numerals With Low Computational Complexity and Space Requirements.
IEEE Access, 2023

2022
Recognition of Islanding and Operational Events in Power System With Renewable Energy Penetration Using a Stockwell Transform-Based Method.
IEEE Syst. J., 2022

2021
Voltage-Based Hybrid Algorithm Using Parameter Variations and Stockwell Transform for Islanding Detection in Utility Grids.
Informatics, 2021

A Fusion-Based Hybrid-Feature Approach for Recognition of Unconstrained Offline Handwritten Hindi Characters.
Future Internet, 2021

A protection scheme for distribution utility grid with wind energy penetration.
Comput. Electr. Eng., 2021

2020
Combined Stockwell and Hilbert Transforms Based Technique for the Detection of Islanding Events in Hybrid Power System.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2013
Dynamics of Hodgkin and Huxley model with conductance based synaptic input.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2006
Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple Cell.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Development of feedforward receptive field structure of a simple cell and its contribution to the orientation selectivity: a modeling study.
Int. J. Neural Syst., 2005

2004
The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions.
Proceedings of the Neural Information Processing, 11th International Conference, 2004


  Loading...