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Browsing by Author "Agarwal, Vandana"

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Adaptive Radial Basis Functions Neural Network For Motor Imagery Task Classification

Agarwal, Vandana (IEEE, 2019)

Classification of Electroencephalogram (EEG) signals for motor imagery task has been a challenge for researchers due to the complex and highly non-separable structure of the data across different thought classes. For each ...
Computational Intelligence Based Face Recognition

Agarwal, Vandana (BITS, Pilani, 2015-08-18)
Evolutionary design of Multiquadric radial basis functions neural network for face recognition

Agarwal, Vandana; Bhanot, Surekha (IEEE, 2013)

In this paper, it is proposed to use Multiquadric basis functions at hidden layer of radial basis functions neural networks (RBFNN) for face recognition. The performance of RBFNN depends on the design of the structure of ...
Firefly Inspired Feature Selection for Face Recognition

Agarwal, Vandana; Bhanot, Surekha (IEEE, 2015)

In this paper, an adaptive technique using Firefly Algorithm for feature selection in face recognition is proposed. The artificial fireflies are designed to represent the feature subset and they move in a hyper dimensional ...
Radial basis function neural network-based face recognition using firefly algorithm

Agarwal, Vandana; Bhanot, Surekha (Springer, 2017-02)

This paper presents an adaptive technique for obtaining centers of the hidden layer neurons of radial basis function neural network (RBFNN) for face recognition. The proposed technique uses firefly algorithm to obtain ...
A Vector-based EEG Signal Feature Extraction Technique for BCI Applications

Agarwal, Vandana (IEEE, 2018)

Brain Computer Interface (BCI) systems offer the ability to effect actuations in the users environment, bypassing the neuro-muscular pathway. The optimal functioning of BCI systems is predicated on two important aspects ...

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