Dhirendra Kumar

According to our database, Dhirendra Kumar authored at least 26 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Recognition of multi-cognitive tasks from EEG signals using EMD methods.

Akshansh Gupta, Dhirendra Kumar, Hanuman Verma, Muhammad Tanveer, Andreu Perez Javier, Chin-Teng Lin, Mukesh Prasad

Neural Comput. Appl., November, 2023

Probabilistic intuitionistic fuzzy c-means algorithm with spatial constraint for human brain MRI segmentation.

Rinki Solanki, Dhirendra Kumar

Multim. Tools Appl., September, 2023

Modified total Bregman divergence driven picture fuzzy clustering with local information for brain MRI image segmentation.

Himanshi Lohit, Dhirendra Kumar

Appl. Soft Comput., September, 2023

A noise robust kernel fuzzy clustering based on picture fuzzy sets and KL divergence measure for MRI image segmentation.

Inder Khatri, Dhirendra Kumar, Aaryan Gupta

Appl. Intell., July, 2023

Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation.

Puneet Kumar, R. K. Agrawal, Dhirendra Kumar

Appl. Soft Comput., January, 2023

Image Encryption based on Chaotic Map and Fractal Sorting Matrix.

Puneet Kumar Pal, Dhirendra Kumar

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.

Aman Dahiya, Dhirendra Kumar

Wirel. Pers. Commun., 2022

Bias-Corrected Intuitionistic Fuzzy C-Means With Spatial Neighborhood Information Approach for Human Brain MRI Image Segmentation.

Dhirendra Kumar, R. K. Agrawal, Puneet Kumar

IEEE Trans. Fuzzy Syst., 2022

Kernel picture fuzzy clustering with spatial neighborhood information for MRI image segmentation.

Dhirendra Kumar, Inder Khatri, Aaryan Gupta, Rachana Gusain

Soft Comput., 2022

Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image.

Puneet Kumar, Dhirendra Kumar, Ramesh Kumar Agrawal

Neural Comput. Appl., 2022

False discovery rate: the Achilles' heel of proteogenomics.

Suruchi Aggarwal, Anurag Raj, Dhirendra Kumar, Debasis Dash, Amit Kumar Yadav

Briefings Bioinform., 2022

Design of Hexagonal Oscillator for True Random Number Generation.

Krishan Mehra, Dhirendra Kumar, Kavindra Kandpal, Prasanna Kumar Misra, Manish Goswami

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.

Puneet Kumar, R. K. Agrawal, Dhirendra Kumar

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.

Dhirendra Kumar, Utkarsh Kumar Chaurasia, Shreyansh Mishra, Prafull Singh Patel, Prasanna Kumar Misra, Manish Goswami

J. Circuits Syst. Comput., 2021

Fuzzy Entropy k-Plane Clustering Method and Its Application to Medical Image Segmentation.

Puneet Kumar, Dhirendra Kumar, Ramesh Kumar Agrawal

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020

Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation.

Dhirendra Kumar, R. K. Agrawal, Hanuman Verma

Soft Comput., 2020

0.4 mW, 0.27 pJ/bit true random number generator using jitter, metastability and current starved topology.

Dhirendra Kumar, Rahul Anand, Sajai Vir Singh, Prasanna Kumar Misra, Ashok Srivastava, Manish Goswami

IET Circuits Devices Syst., 2020

Opto-Radio Noise based True Random Number Generator.

Dhirendra Kumar, Chaitanya Dnyaneshwar Jadhav, Prasanna Kumar Misra, Manish Goswami

Proceedings of the 2020 24th International Symposium on VLSI Design and Test (VDAT), 2020

2019

A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree.

Hanuman Verma, Akshansh Gupta, Dhirendra Kumar

Pattern Recognit. Lett., 2019

A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image.

Dhirendra Kumar, Hanuman Verma, Aparna Mehra, R. K. Agrawal

Multim. Tools Appl., 2019

Intuitionistic Fuzzy Clustering Method with Spatial Information for MRI Image Segmentation.

Dhirendra Kumar, Ramesh Kumar Agrawal, Jyoti Singh Kirar

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform.

Muhammad Tanveer, Akshansh Gupta, Dhirendra Kumar, Saumya Priyadarshini, Anirban Chakraborti, Rammohan Mallipeddi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Modified Tent Map Based Design for True Random Number Generator.

Dhirendra Kumar, Kasif Nabi, Prasanna Kumar Misra, Manish Goswami

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2018

2017

Fuzzy clustering-based feature extraction method for mental task classification.

Akshansh Gupta, Dhirendra Kumar

Brain Informatics, 2017

2016

Dimensionality Reduction of SIFT Descriptor Using Vector Decomposition for Image Classification.

Dhirendra Kumar, Ramesh Kumar Agrawal

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.

Amit Kumar Yadav, Puneet Kumar Kadimi, Dhirendra Kumar, Debasis Dash

Bioinform., 2013