Covid-cxnet: Detecting covid-19 in frontal chest x-ray images using deep learning A Haghanifar, MM Majdabadi, Y Choi, S Deivalakshmi, S Ko Multimedia tools and applications 81 (21), 30615-30645, 2022 | 178 | 2022 |
Sentiment analysis of US airlines tweets using LSTM/RNN R Monika, S Deivalakshmi, B Janet 2019 IEEE 9th International Conference on Advanced Computing (IACC), 92-95, 2019 | 58 | 2019 |
Performance Analysis of Image Denoising System for different levels of Wavelet decomposition S Arivazhagan, S Deivalakshmi, K Kannan, BN Gajbhiye, C Muralidhar, ... International Journal of Imaging Science and Engineering 1 (3), 104-107, 2007 | 55 | 2007 |
Detection and removal of salt and pepper noise in images by improved median filter S Deivalakshmi, S Sarath, P Palanisamy 2011 IEEE Recent Advances in Intelligent Computational Systems, 363-368, 2011 | 48 | 2011 |
Removal of high density salt and pepper noise through improved tolerance based selective arithmetic mean filtering with wavelet thresholding S Deivalakshmi, P Palanisamy AEU-International Journal of Electronics and Communications 70 (6), 757-776, 2016 | 28 | 2016 |
Wavelet based medical image super resolution using cross connected residual-in-dense grouped convolutional neural network G Amaranageswarao, S Deivalakshmi, SB Ko Journal of Visual Communication and Image Representation 70, 102819, 2020 | 18 | 2020 |
Automatic detection of leaf disease using CNN algorithm S Nandhini, R Suganya, K Nandhana, S Varsha, S Deivalakshmi, ... Machine Learning for Predictive Analysis: Proceedings of ICTIS 2020, 237-244, 2021 | 17 | 2021 |
Improved tolerance based selective arithmetic mean filter for detection and removal of impulse noise S Deivalakshmi, P Palanisamy 2010 5th International conference on industrial and information systems, 309-313, 2010 | 17 | 2010 |
Capsule GAN for prostate MRI super-resolution M Molahasani Majdabadi, Y Choi, S Deivalakshmi, S Ko Multimedia Tools and Applications 81 (3), 4119-4141, 2022 | 16 | 2022 |
Performance Analysis of Wavelet filters for image denoising S Arivazhagan, S Deivalakshmi, K Kannan, BN Gajbhiye, C Muralidhar, ... Advances in Computational sciences and Technology 1 (1), 1-10, 2007 | 16 | 2007 |
Dense residual convolutional auto encoder for retinal blood vessels segmentation R Adarsh, G Amarnageswarao, R Pandeeswari, S Deivalakshmi 2020 6th international conference on advanced computing and communication …, 2020 | 14 | 2020 |
Detection of table structure and content extraction from scanned documents S Deivalakshmi, K Chaitanya, P Palanisamy 2014 International Conference on Communication and Signal Processing, 270-274, 2014 | 13 | 2014 |
Residual skip network-based super-resolution for leaf disease detection of grape plant PV Yeswanth, S Deivalakshmi, S George, SB Ko Circuits, Systems, and Signal Processing 42 (11), 6871-6899, 2023 | 12 | 2023 |
Extended wavelet sparse convolutional neural network (EWSCNN) for super resolution PV Yeswanth, S Deivalakshmi Sādhanā 48 (2), 52, 2023 | 10 | 2023 |
Residual learning based densely connected deep dilated network for joint deblocking and super resolution G Amaranageswarao, S Deivalakshmi, SB Ko Applied Intelligence 50 (7), 2177-2193, 2020 | 10 | 2020 |
Multi-resolution system for artifact removal and edge enhancement in computerized tomography images S Arivazhagan, S Deivalakshmi, K Kannan, BN Gajbhiye, C Muralidhar, ... Pattern recognition letters 28 (13), 1769-1780, 2007 | 10 | 2007 |
Super resolution-based leaf disease detection in potato plant using broad deep residual network (BDRN) PV Yeswanth, R Khandelwal, S Deivalakshmi SN Computer Science 4 (2), 112, 2022 | 9 | 2022 |
Joint restoration convolutional neural network for low-quality image super resolution G Amaranageswarao, S Deivalakshmi, SB Ko The Visual Computer 38 (1), 31-50, 2022 | 9 | 2022 |
A CPW-fed dual band antenna based on metamaterial inspired split ring structure RS Daniel, R Pandeeswari, S Deivalakshmi 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP …, 2017 | 9 | 2017 |
Covid-cxnet: Detecting COVID-19 in frontal chest X-ray images using deep learning. arXiv 2020 A Haghanifar, MM Majdabadi, Y Choi, S Deivalakshmi, S Ko arXiv preprint arXiv:2006.13807, 0 | 9 | |