Sonajharia Minz

Employment

• Sido Kanhu Murmu University Vice Chancellor
  2020 - 2023
• Jawaharlal Nehru University Professor
  2005 - Present
• Jawaharlal Nehru University associate Professor
  1997 - 2005
• Jawaharlal Nehru University Assistant Professor
  1992 - 1997
• Madurai Kamaraj University Assistant Professor
  1991 - 1992

Education

• Jawaharlal Nehru University PhD
  1988 - 1997
• Madras Christian College M. Sc.
  1984 - 1986
• Women's Christian College BSc
  1981 - 1984

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• Spatial clustering-based parametric change footprint pattern analysis in Landsat images
  International Journal of Environmental Science and Technology 2024 DOI: 10.1007/s13762-023-05369-8
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• A Scalable Unsupervised Classification Method Using Rough Set for Remote Sensing Imagery
  International Journal of Software Science and Computational Intelligence 2021 DOI: 10.4018/IJSSCI.2021040104
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• Picture grammar for Santal floor design as radial language
  Malaya Journal of Matematik 2019 DOI: 10.26637/MJM0703/0005
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• Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification
  Knowledge and Information Systems 2016 DOI: 10.1007/s10115-015-0875-y
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• Performance analysis of cognitive radio networks under spectrum sharing using queuing approach
  Computers and Electrical Engineering 2016 DOI: 10.1016/j.compeleceng.2016.04.010
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• Semi-supervised FCM and SVM in co-training framework for the classification of hyperspectral images
  Advances in Intelligent Systems and Computing 2016 DOI: 10.1007/978-3-319-47952-1_10
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• Multi-view ensemble learning: A supervised feature set partitioning for high dimensional data classification
  ACM International Conference Proceeding Series 2015 DOI: 10.1145/2791405.2791443
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• Modified Self-Learning with Clustering for the Classification of Remote Sensing Images
  Procedia Computer Science 2015 DOI: 10.1016/j.procs.2015.08.034
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• Exploring Self-learning for spatial-spectral classification of remote sensing images
  2015 International Conference on Computer Communication and Informatics, ICCCI 2015 2015 DOI: 10.1109/ICCCI.2015.7218096
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• Co-training with clustering for the semi-supervised classification of remote sensing images
  Advances in Intelligent Systems and Computing 2015 DOI: 10.1007/978-81-322-2523-2_64
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