Debashisha Jena

Orcid: 0000-0001-8800-4652

According to our database1, Debashisha Jena authored at least 16 papers between 2008 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Semi-Г Type Single Phase Differential Boost Inverter With High Voltage Gain.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

Solar Irradiation Prediction Hybrid Framework Using Regularized Convolutional BiLSTM-Based Autoencoder Approach.
IEEE Access, 2023

2021
A cost-effective single-phase semi flipped gamma type magnetically coupled impedance source inverters.
Int. J. Circuit Theory Appl., 2021

2020
A Negative Embedded Differential Mode Γ-Source Inverter With Reduced Switching Spikes.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

2019
Two Phase (Reconfigurable) Inverting Switched Capacitor Converter for Micro Power Applications and its Accurate Equivalent Resistance Calculation.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Investigation of a family of dual-output coupled/decoupled switched capacitor converter for low-power applications.
IET Circuits Devices Syst., 2019

2018
Backstepping terminal sliding mode control of robot manipulator using radial basis functional neural networks.
Comput. Electr. Eng., 2018

An Algorithm Steps to Solve Coupled Case for Dual Input Dual Output SCC.
Proceedings of the TENCON 2018, 2018

2016
Intelligent adaptive observer-based optimal control of overhead transmission line de-icing robot manipulator.
Adv. Robotics, 2016

2015
Adaptive nonsingular terminal sliding mode control for variable speed wind turbine.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2011
Nonlinear system identification using memetic differential evolution trained neural networks.
Neurocomputing, 2011

A differential evolution based neural network approach to nonlinear system identification.
Appl. Soft Comput., 2011

2009
An improved differential evolution trained neural network scheme for nonlinear system identification.
Int. J. Autom. Comput., 2009

Design of an Error-Based Robust Adaptive Controller.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Differential Evolution and Levenberg Marquardt Trained Neural Network Scheme for Nonlinear System Identification.
Neural Process. Lett., 2008

Memetic Differential Evolution Trained Neural Networks For Nonlinear System Identification.
Proceedings of the IEEE Reglon 10 Colloquium and Third International Conference on Industrial and Information Systems, 2008


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