Rekha Vig - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 8 from 8

2024

Performance evaluation of Dictionary Learning and ICA on Parkinson's patients classification using Machine LearningSaloni Bhatia Dutta, Rekha Vig. mta, 83(8):24467-24483, 2024. [doi]

2022

MTU: A multi-tasking U-net with hybrid convolutional learning and attention modules for cancer classification and gland Segmentation in Colon Histopathological ImagesManju Dabass, Sharda Vashisth, Rekha Vig. cbm, 150:106095, 2022. [doi]

A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological imagesManju Dabass, Sharda Vashisth, Rekha Vig. cbm, 147:105680, 2022. [doi]

2020

An efficient text-independent speaker verification for short utterance data from Mobile devicesSanghamitra V. Arora, Rekha Vig. mta, 79(3-4):3049-3074, 2020. [doi]

2019

Machine Learning Models for Depression Patient Classification Using fMRI: A StudySanskriti Gupta, Rekha Vig. iccsa 2019: 685-696 [doi]

An asymmetric hybrid cryptosystem using hyperchaotic system and random decomposition in hybrid multi resolution wavelet domainPankaj Rakheja, Rekha Vig, Phool Singh. mta, 78(15):20809-20834, 2019. [doi]

2017

Face recognition using multiresolution wavelet combining discrete cosine transform and Walsh transformAlpa Choudhary, Rekha Vig. icbea 2017: 33-38 [doi]

2012

Identification of multi-spectral palmprints using energy compaction by Hybrid waveletHemant B. Kekre, Rekha Vig, Saurabh Bisani, Tanuja K. Sarode, Pranay Arya, Aashita Irani. icb 2012: 433-438 [doi]

Sign in or sign up to see more results.

runs on WebDSL