Dhirendra Kumar
Orcid: 0000-0002-8902-5022
According to our database1,
Dhirendra Kumar
authored at least 29 papers
between 2013 and 2024.
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Bibliography
2024
A review of image features extraction techniques and their applications in image forensic.
Multim. Tools Appl., December, 2024
Efficient image encryption using the Tinkerbell map in conjunction with linear feedback shift registers.
Multim. Tools Appl., May, 2024
Secure chaotic image encryption method using random graph traversal and three step diffusion.
Multim. Tools Appl., May, 2024
2023
Neural Comput. Appl., November, 2023
Probabilistic intuitionistic fuzzy c-means algorithm with spatial constraint for human brain MRI segmentation.
Multim. Tools Appl., September, 2023
Modified total Bregman divergence driven picture fuzzy clustering with local information for brain MRI image segmentation.
Appl. Soft Comput., September, 2023
A noise robust kernel fuzzy clustering based on picture fuzzy sets and KL divergence measure for MRI image segmentation.
Appl. Intell., July, 2023
Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation.
Appl. Soft Comput., January, 2023
Proceedings of the 16th International Conference on Security of Information and Networks, 2023
2022
A W-band Substrate Integrated Waveguide (SIW) Bandpass Filter at 95 GHz for Millimeter Wave Applications.
Wirel. Pers. Commun., 2022
Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation.
IEEE Trans. Fuzzy Syst., 2022
Kernel picture fuzzy clustering with spatial neighborhood information for MRI image segmentation.
Soft Comput., 2022
Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image.
Neural Comput. Appl., 2022
Briefings Bioinform., 2022
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022
Kullback-Leibler Distance-Based Fuzzy K-Plane Clustering Approach for Noisy Human Brain MRI Image Segmentation.
Proceedings of the Computer Vision and Machine Intelligence, 2022
2021
Design of True Random Number Generator Using Fingerprint as an Entropy Source and Its Implementation in S-Box.
J. Circuits Syst. Comput., 2021
Fuzzy Entropy k-Plane Clustering Method and Its Application to Medical Image Segmentation.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021
2020
Soft Comput., 2020
0.4 mW, 0.27 pJ/bit true random number generator using jitter, metastability and current starved topology.
IET Circuits Devices Syst., 2020
Proceedings of the 2020 24th International Symposium on VLSI Design and Test (VDAT), 2020
2019
Pattern Recognit. Lett., 2019
A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image.
Multim. Tools Appl., 2019
Intuitionistic Fuzzy Clustering Method with Spatial Information for MRI Image Segmentation.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
2018
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2018
2017
Brain Informatics, 2017
2016
Dimensionality Reduction of SIFT Descriptor Using Vector Decomposition for Image Classification.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016
2013
ProteoStats - a library for estimating false discovery rates in proteomics pipelines.
Bioinform., 2013