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Browsing Department of Electrical and Electronics Engineering by Author "Ajmera, Pawan K."

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Adaptive artificial neural network based control strategy for shunt active power filter

Ajmera, Pawan K.; Bansal, Hari Om (IEEE, 2016)

Shunt active power filter (SAPF) is used to mitigate the current harmonics and to improve the power factor. In this paper, Adaptive linear-neuron (ADALINE) based phase lock loop (PLL) controlling scheme is presented for ...
Adaptive Artificial Neural Network Based Control Strategy for Shunt Active Power Filter” IEEE International Conference on Electrical Power and Energy Systems (ICEPES), December 14-16, 2016, MANIT Bhopal, India.

Bansal, Hari Om; Ajmera, Pawan K. (IEEE, 2016)

Shunt active power filter (SAPF) is used to mitigate the current harmonics and to improve the power factor. In this paper, Adaptive linear-neuron (ADALINE) based phase lock loop (PLL) controlling scheme is presented for ...
Adaptive Quality Enhancement Fingerprint Analysis

Ajmera, Pawan K. (IEEE, 2020)

Poor quality of the fingerprint image prevents accurate recognition as the employed methods are largely dependent on the fingerprint image quality. Algorithms will be better suited to detect fingerprint images if they are ...
ANN based approach for selective detection of breath acetone by using hybrid GO-FET sensor array

Ajmera, Pawan K.; Hazra, Arnab (IOP, 2022-04)

This research used hybrid graphene oxide (GO) field effect transistors (FETs) based sensor array to design an electronic nose (e-nose) for identifying exhaled breath acetone to diagnose diabetes mellitus through noninvasive ...
Audio classification using braided convolutional neural networks

Ajmera, Pawan K. (IET, 2020-09)

Convolutional neural networks (CNNs) work surprisingly well and have helped drastically enhance the state-of-the-art techniques in the domain of image classification. The unprecedented success motivated the application of ...
Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion Chapter Automated Person Authentication Using Face, Iris and Ear Multimodal Biometric Fusion

Ajmera, Pawan K. (CRC, 2020)

With the rapidly growing fields of Computer Vision and Artificial Intelligence, automatic person identification is very crucial and important task associated with these technologies. Integrating information which is ...
Comparative study of License Plate Recognition

Ajmera, Pawan K. (IJERT, 2014-03)

License Plate Recognition (LPR) is the most interesting and challenging area of research due to its importance to a wide range of commercial application. It is known that the number plates differ in shape and size. ...
Convolutional Neural Network-Based Human Identification Using Outer Ear Images

Ajmera, Pawan K. (Springer, 2018-10)

This paper presents a deep learning approach for ear localization and recognition. The comparable complexity between human outer ear and face in terms of its uniqueness and permanence has increased interest in the use of ...
Encryption of Gray Images using Scalable Codes

Ajmera, Pawan K. (IJERT, 2014-04)

In this paper we have used a method for encryption of images using scalable coding. In encryption, a pseudorandom number derived from a secret key is used to encrypt the original pixel values. In encoding block, encrypted ...
Face Recognition using Local Texture Descriptor

Ajmera, Pawan K. (IJERT, 2014-04)

A face recognition system is a computer application for automatically identifying a person from a digital image. Recognition of face in uncontrolled lightening situations is one of the most important bottlenecks for ...
Field-Assisted Sensitivity Amplification in a Noble Metal Nanoparticle Decorated WO3/GO Hybrid FET-Based Multisensory Array for Selective Detection of Breath Acetone

Ajmera, Pawan K.; Singhal, Rahul; Hazra, Arnab (Wiley, 2021-12)

The current work shows noble metal (Au, Pd and Pt) nanoparticles, WO3 and graphene oxide based ternary hybrid field effect transistor structured sensor array for the selective detection of breath acetone. Accurate acetone ...
Fractional Fourier transform based features for speaker recognition using support vector machine

Ajmera, Pawan K. (Elsevier, 2013-02)

This paper presents a text-independent speaker recognition technique in which the conventional Fourier transform in Mel-Frequency Cepstral Coefficient (MFCC) front-end is substituted by fractional Fourier transform. Support ...
A multi-modal and multi-algorithmic biometric system combining iris and face

Ajmera, Pawan K. (IEEE, 2015)

In this paper, we have developed an algorithm which combines features from human iris and face for person verification. Iris recognition is one of the most accurate biometric modalities having verification results close ...
Multi-modal biometric fusion based continuous user authentication for E-proctoring using hybrid LCNN-Salp swarm optimization

Ajmera, Pawan K. (Springer, 2021-11)

In Covid 19, pandemic remote proctoring of the employee or human being is evolved as a big challenge for the information retrieval process. On the other side, memory-based system access authentication is becoming outdated ...
Multimodal Multilevel Fusion of Face Ear Iris with Multiple Classifications

Ajmera, Pawan K. (Springer, 2020-07)

With the advancement in the computational efficiency, there is also simultaneous increase in many efficient and secure biometric systems that are capable for the use of multiple sources of access authorization. Single ...
Multiresolution Feature Based Subspace Analysis for Fingerprint Recognition

Ajmera, Pawan K. (International Journal of Computer Applications, 2010-02)

The image intensity surface in an ideal fingerprint image contains a limited range of spatial frequencies, and mutually distinct textures differ significantly in their dominant frequencies. This paper presents a multiresolution ...
Multiresolution Features Based Polynomial Kernel Discriminant Analysis for Speaker Recognition

Ajmera, Pawan K. (IEEE, 2009)

This paper describes polynomial kernel subspace approach to speaker recognition systems. Auditory motivated wavelet packet transform is used to derive the desirable speaker features. The nonlinear mapping between the input ...
Optimal feature level fusion for secured human authentication in multimodal biometric system

Ajmera, Pawan K. (Springer, 2020-12)

The rising demand for high security and reliable authentication schemes, led to the development of the unimodal biometric system so that the multimodal biometric system has emerged. The multimodal biometric system will use ...
Palm-print identification based on deep residual networks

Ajmera, Pawan K. (IEEE, 2021)

Biometric recognition has been an inseparable part of security and authorization. In the last decade, palm-print has been widely used in security access and person authentication. However, for efficient identity management ...
Palm-print recognition based on quality estimation and feature dimension

Ajmera, Pawan K. (Inder Science, 2022-04)

Human identification exploitation biometric traits are more and more in style in recent years. Among the widely used biometric traits, palm-print is a vital one because of its acquisition convenience and comparatively high ...

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