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ORCIDPradipta Kumar Nanda
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2020 – today
- 2024
[j18]Jyoti Ranjan Panda
, Pradipta Kumar Nanda, Tuhinansu Pradhan:
Particle Filter-Based Video Object Tracking Scheme With Target Remodeling and Reinitialization and Its Hardware Implementation Using Raspberry Pi. IEEE Access 12: 98285-98305 (2024)- [j17]Sunita Samant, Pradipta Kumar Nanda, Ashish Ghosh, Subhaluxmi Sahoo, Adya Kinkar Panda:
Registration of CT and MR image in multi-resolution framework using embedded entropy and feature fusion. Int. J. Comput. Vis. Robotics 14(5): 540-570 (2024) - 2023
- [j16]Subhaluxmi Sahoo, Pradipta Kumar Nanda:
KDE-Based Simultaneous Background Model Learning and Entropy-Based Fusion of Cascaded Features for Video Object Segmentation With Shadow Removal. IEEE Access 11: 80056-80071 (2023) - [j15]Jyoti Ranjan Panda, Pradipta Kumar Nanda:
Particle filter-based video object tracking using feature fusion in template partitions. Vis. Comput. 39(7): 2757-2779 (2023) - 2022
- [j14]Mamata Wagh, Pradipta Kumar Nanda:
Decision-Theoretic Rough Sets based automated scheme for object and background classification in unevenly illuminated images. Appl. Soft Comput. 119: 108596 (2022) - [j13]Sunita Samant, Pradipta Kumar Nanda, Ashish Ghosh, Adya Kinkar Panda:
Noisy multimodal brain image registration using markov random field model. Biomed. Signal Process. Control. 73: 103426 (2022) - [j12]Subhaluxmi Sahoo, Pradipta Kumar Nanda:
Adaptive Feature Fusion and Spatio-Temporal Background Modeling in KDE Framework for Object Detection and Shadow Removal. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1103-1118 (2022) - 2021
- [j11]Subha Kanta Swain, Pradipta Kumar Nanda:
Adaptive Queue Management and Traffic Class Priority Based Fairness Rate Control in Wireless Sensor Networks. IEEE Access 9: 112607-112623 (2021) - [j10]Subhabrata Acharya, Pradipta Kumar Nanda:
Adjacent LBP and LTP based background modeling with mixed-mode learning for foreground detection. Pattern Anal. Appl. 24(3): 1047-1074 (2021) - [j9]Susmita Panda, Pradipta Kumar Nanda:
Kernel density estimation and correntropy based background modeling and camera model parameter estimation for underwater video object detection. Soft Comput. 25(15): 10477-10496 (2021) - 2020
- [j8]Susmita Panda, Pradipta Kumar Nanda:
MRF Model-Based Estimation of Camera Parameters and Detection of Underwater Moving Objects. Int. J. Cogn. Informatics Nat. Intell. 14(4): 1-29 (2020)
2010 – 2019
- 2019
- [j7]Subha Kanta Swain, Pradipta Kumar Nanda:
Priority Based Adaptive Rate Control in Wireless Sensor Networks: A Difference of Differential Approach. IEEE Access 7: 112435-112447 (2019) - [j6]Mamata Wagh, Pradipta Kumar Nanda:
Fuzzy granulation and constraint neighbourhood granulation structure for object classification in unevenly illuminated images. Appl. Soft Comput. 74: 306-329 (2019) - 2018
- [j5]Jeetashree Aparajeeta, Sasmita Mahakud, Pradipta Kumar Nanda, Niva Das:
Variable Variance Adaptive Mean-Shift and possibilistic fuzzy C-means based recursive framework for brain MR image segmentation. Expert Syst. Appl. 92: 317-333 (2018) - 2017
- [j4]Badri Narayan Subudhi, Susmita Ghosh, Pradipta Kumar Nanda, Ashish Ghosh:
Moving object detection using spatio-temporal multilayer compound Markov Random Field and histogram thresholding based change detection. Multim. Tools Appl. 76(11): 13511-13543 (2017) - 2016
- [j3]Jeetashree Aparajeeta, Pradipta Kumar Nanda, Niva Das:
Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image. Appl. Soft Comput. 41: 104-119 (2016) - 2015
- [c5]Jeetashree Aparajeeta, Pradipta Kumar Nanda, Niva Das:
Bias field estimation and segmentation of MR image using modified fuzzy-C means algorithms. ICAPR 2015: 1-6 - 2012
- [e1]Bijaya K. Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Pradipta Kumar Nanda:
Swarm, Evolutionary, and Memetic Computing - Third International Conference, SEMCCO 2012, Bhubaneswar, India, December 20-22, 2012. Proceedings. Lecture Notes in Computer Science 7677, Springer 2012, ISBN 978-3-642-35379-6 [contents] - 2011
- [j2]Badri Narayan Subudhi, Pradipta Kumar Nanda, Ashish Ghosh:
Entropy based region selection for moving object detection. Pattern Recognit. Lett. 32(15): 2097-2108 (2011) - [j1]Badri Narayan Subudhi, Pradipta Kumar Nanda, Ashish Ghosh:
A Change Information Based Fast Algorithm for Video Object Detection and Tracking. IEEE Trans. Circuits Syst. Video Technol. 21(7): 993-1004 (2011) - 2010
- [c4]Priyadarshi Kanungo, Pradipta Kumar Nanda, Ashish Ghosh:
Parallel genetic algorithm based adaptive thresholding for image segmentation under uneven lighting conditions. SMC 2010: 1904-1911
2000 – 2009
- 2008
- [c3]Satya Swaroop Pradhan, Dipti Patra, Pradipta Kumar Nanda:
Adaptive Thresholding Based Image Segmentation with Uneven Lighting Condition. ICIIS 2008: 1-6 - [c2]Badri Narayan Subudhi, Pradipta Kumar Nanda:
An Evolutionary Based Slow and Fast Moving Video Object Detection Scheme Using Compound Markov Random Field Model. ICVGIP 2008: 398-405 - 2005
- [c1]Pradipta Kumar Nanda, Dipti Patra, A. Pradhan:
Brain MR Image Segmentation using Tabu Search and Hidden Markov Random Field Model. IICAI 2005: 3143-3160
Coauthor Index
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