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2020 – today
- 2024
[j7]H. Shihabudeen, J. Rajeesh:
An autoencoder deep residual network model for multi focus image fusion. Multim. Tools Appl. 83(12): 34773-34794 (2024)- 2022
- [j6]H. Shihabudeen
, J. Rajeesh:
Deep Learning L2 Norm Fusion for Infrared & Visible Images. IEEE Access 10: 36884-36894 (2022)
2010 – 2019
- 2017
- [j5]M. S. Rahul, E. Arun, P. Mohamed Shameem, J. Rajeesh:
An Augmented Routing Algorithm for Trusted Detection of Link Failures in MANETs. Wirel. Pers. Commun. 96(4): 5185-5201 (2017) - 2014
- [j4]J. Rajeesh, R. S. Moni, S. S. Kumar:
Performance analysis of wave atom transform in texture classification. Signal Image Video Process. 8(5): 923-930 (2014) - 2013
- [j3]S. S. Kumar, R. S. Moni, J. Rajeesh:
An automatic computer-aided diagnosis system for liver tumours on computed tomography images. Comput. Electr. Eng. 39(5): 1516-1526 (2013) - [j2]John Edwin Raja Dhas, R. S. Stalin, J. Rajeesh:
RBF neural network model for machining quality prediction in CNC turning process. Int. J. Model. Identif. Control. 20(2): 174-180 (2013) - [j1]S. S. Kumar, R. S. Moni, J. Rajeesh:
Automatic liver and lesion segmentation: a primary step in diagnosis of liver diseases. Signal Image Video Process. 7(1): 163-172 (2013)
Coauthor Index
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