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ORCIDWahengbam Kanan Kumar
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Journal Articles
- 2023
[j7]Wahengbam Kanan Kumar, Kshetrimayum Linthoinganbi Devi, Aheibam Dinamani Singh:
Fortifying Brain Signals for Robust Interpretation. IEEE Trans. Netw. Sci. Eng. 10(2): 742-753 (2023)- 2021
- [j6]Wahengbam Kanan Kumar
, Ningthoujam Johny Singh, Aheibam Dinamani Singh, Kishorjit Nongmeikapam:
Enhanced machine perception by a scalable fusion of RGB-NIR image pairs in diverse exposure environments. Mach. Vis. Appl. 32(4): 88 (2021) - 2020
- [j5]Nongmeikapam Kishorjit Singh, Ningthoujam Johny Singh, Wahengbam Kanan Kumar:
Image classification using SLIC superpixel and FAAGKFCM image segmentation. IET Image Process. 14(3): 487-494 (2020) - 2019
- [j4]Wahengbam Kanan Kumar, Kishorjit Nongmeikapam, Aheibam Dinamani Singh:
Enhancing scene perception using a multispectral fusion of visible-near-infrared image pair. IET Image Process. 13(13): 2467-2479 (2019) - [j3]Kishorjit Nongmeikapam, Wahengbam Kanan Kumar, Oinam Nickson Meetei, Themrichon Tuithung:
Handwritten Manipuri Meetei-Mayek Classification Using Convolutional Neural Network. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(4): 35:1-35:23 (2019) - 2018
- [j2]Kishorjit Nongmeikapam, Wahengbam Kanan Kumar, Aheibam Dinamani Singh:
Fast and Automatically Adjustable GRBF Kernel Based Fuzzy C-Means for Cluster-wise Coloured Feature Extraction and Segmentation of MR Images. IET Image Process. 12(4): 513-524 (2018) - [j1]Kishorjit Nongmeikapam, Wahengbam Kanan Kumar, Ranita Khumukcham, Aheibam Dinamani Singh:
An Unsupervised Cluster-wise Color Segmentation of Medical and Camera Images using Genetically improved Fuzzy-Markovian Decision Relational Model. J. Intell. Fuzzy Syst. 35(1): 1147-1160 (2018)
Conference and Workshop Papers
- 2022
- [c2]Wahengbam Kanan Kumar, Manoj Paidimarri, Arijit Sur:
A Globally-Connected and Trainable Hierarchical Fine-Attention Generative Adversarial Network based Adversarial Defense. ICVGIP 2022: 14:1-14:9 - 2017
- [c1]Kishorjit Nongmeikapam, Wahengbam Kanan Kumar, Mithlesh Prasad Singh:
Exploring an Efficient Handwritten Manipuri Meetei-Mayek Character Recognition Using Gradient Feature Extractor and Cosine Distance Based Multiclass k-Nearest Neighbor Classifier. ICON 2017: 328-337
Coauthor Index
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