GLCM and GLRLM based texture analysis: application to brain cancer diagnosis using histopathology images V Durgamahanthi, J Anita Christaline, A Shirly Edward Intelligent Computing and Applications: Proceedings of ICICA 2019, 691-706, 2021 | 28 | 2021 |
Critical review of bio‐inspired optimization techniques AC Johnvictor, V Durgamahanthi, RM Pariti Venkata, N Jethi Wiley Interdisciplinary Reviews: Computational Statistics 14 (1), e1528, 2022 | 24 | 2022 |
Bio-inspired computational algorithms for improved image steganalysis JA Christaline, R Ramesh, D Vaishali Indian J Sci Technol 9 (10), 1e10, 2016 | 19 | 2016 |
2 D autoregressive model for texture analysis and synthesis D Vaishali, R Ramesh, JA Christaline 2014 International Conference on Communication and Signal Processing, 1135-1139, 2014 | 16 | 2014 |
Critical review of image steganalysis techniques JA Christaline, R Ramesh, D Vaishali International Journal of Advanced Intelligence Paradigms 7 (3-4), 368-381, 2015 | 12 | 2015 |
Bio inspired optimization for universal spatial image steganalysis A Christaline, R Ramesh, C Gomathy, D Vaishali Journal of Computational Science 21, 182-188, 2017 | 11 | 2017 |
Texture analysis using wavelet-based multiresolution autoregressive model: application to brain cancer histopathology V Durgamahanthi, R Rangaswami, C Gomathy, ACJ Victor Journal of Medical Imaging and Health Informatics 7 (6), 1188-1195, 2017 | 9 | 2017 |
Image Steganographic Techniques with Improved Embedding Capacity and Robustness JACD Vaishali IEEE XPLORE, 97-101, 2011 | 9* | 2011 |
Nature inspired metaheuristics for improved JPEG steganalysis A Christaline Multimedia Tools and Applications 77 (11), 13701-13720, 2018 | 8 | 2018 |
Steganalysis with classifier combinations JA Christaline, R Ramesh, D Vaishali ARPN Journal of Engineering and Applied Sciences 9, 12, 2014 | 7 | 2014 |
Histopathology image analysis and classification for cancer detection using 2D autoregressive model D Vaishali, R Ramesh, JA Christaline Int. Rev. Comput. Softw 10 (2), 182-188, 2015 | 6 | 2015 |
Autoregressive modelling: application to mitosis detection in brain cancer histopathology D Vaishali, R Ramesh, JA Christaline International Journal of Biomedical Engineering and Technology 20 (2), 179-194, 2016 | 4 | 2016 |
Optimized JPEG steganalysis JA Christaline, R Ramesh, D Vaishali International Journal of Multimedia and Ubiquitous Engineering, SERSC 11 (1 …, 2016 | 4 | 2016 |
Unsupervised optimization for universal spatial image steganalysis AC Johnvictor, R Rangaswamy, G Chidambaram, V Durgamahanthi Wireless Personal Communications 102, 1-18, 2018 | 3 | 2018 |
Functional near infrared spectroscopy for brain functional connectivity analysis: A graph theoretic approach V Akila, AC Johnvictor Heliyon 9 (4), 2023 | 2 | 2023 |
A review of cognitive brain activation using near-infrared spectroscopy (NIRS) V Akila, JA Christaline AIP Conference Proceedings 2282 (1), 2020 | 2 | 2020 |
Brain tumor classification: a novel approach integrating GLCM, LBP and composite features ACJVD Dheepak G Frontiers in Oncology 13 (23), 1-12, 2024 | 1 | 2024 |
MEHW‐SVM multi‐kernel approach for improved brain tumour classification G Dheepak, J Anita Christaline, D Vaishali IET Image Processing, 2023 | 1 | 2023 |
Enhancing Software Testing with Machine Learning Techniques V Akila, A Vasuki, JA Christaline, R Sathiya, P Rishi, AS Edward 2023 International Conference on Sustainable Computing and Data …, 2023 | 1 | 2023 |
A Low-Cost Air Quality Tracking System Design A Vasuki, JA Christaline, V Akila, R Sathiya 2023 International Conference on Innovative Data Communication Technologies …, 2023 | 1 | 2023 |