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Journal Articles
- 2022
[j7]S. Jeba Berlin
, Mala John:
Vision based human fall detection with Siamese convolutional neural networks. J. Ambient Intell. Humaniz. Comput. 13(12): 5751-5762 (2022)- [j6]S. Jeba Berlin, Mala John:
Spiking neural network based on joint entropy of optical flow features for human action recognition. Vis. Comput. 38(1): 223-237 (2022) - 2020
- [j5]S. Jeba Berlin, Mala John:
R-STDP Based Spiking Neural Network for Human Action Recognition. Appl. Artif. Intell. 34(9): 656-673 (2020) - [j4]S. Jeba Berlin, Mala John:
Light weight convolutional models with spiking neural network based human action recognition. J. Intell. Fuzzy Syst. 39(1): 961-973 (2020) - [j3]Jeffin Gracewell, Mala John:
Dynamic background modeling using deep learning autoencoder network. Multim. Tools Appl. 79(7-8): 4639-4659 (2020) - [j2]S. Jeba Berlin, Mala John:
Particle swarm optimization with deep learning for human action recognition. Multim. Tools Appl. 79(25-26): 17349-17371 (2020) - 2009
- [j1]S. Selvakumar Raja, Mala John:
EM algorithm-based adaptive custom thresholding for image denoising in wavelet domain. Int. J. Imaging Syst. Technol. 19(3): 175-178 (2009)
Conference and Workshop Papers
- 2016
- [c3]S. Jeba Berlin, Mala John:
Human interaction recognition through deep learning network. ICCST 2016: 1-4 - [c2]S. Santhosh Kumar, Mala John:
Human activity recognition using optical flow based feature set. ICCST 2016: 1-5 - 2014
- [c1]Prashanth Chandran, Mala John, Santhosh Kumar S, Mithilesh N. S. R:
Road tracking using particle filters for Advanced Driver Assistance Systems. ITSC 2014: 1408-1414
Editorship
- 2019
- [e1]Gordon L. Thomas, Mala John:
2019 International Carnahan Conference on Security Technology, ICCST 2019, Chennai, India, October 1-3, 2019. IEEE 2019, ISBN 978-1-7281-1577-1 [contents]
Coauthor Index
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