RAJESH KUMAR P

Employment

• Andhra University Professor
  2006 - Present

Education

• Andhra University Ph.D

Projects & Funding

Projects & funding information is unavailable.

Publications (138)

• A feasibility approach in diagnosing asd with pie via machine learning classification approach using BCI
  Proceedings - IEEE 2021 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2021 2021 DOI: 10.1109/ICCCIS51004.2021.9397220
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• A new segmentation method for non-ideal iris images using morphological reconstruction FCM based on improved DSA
  SN Applied Sciences 2021 DOI: 10.1007/s42452-020-04110-1
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• An index based road feature extraction from LANDSAT-8 OLI images
  International Journal of Electrical and Computer Engineering 2021 DOI: 10.11591/ijece.v11i2.pp1319-1336
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• Detection and Estimation of Multiple Point Targets for LFM Echo Using Compressed Sensing
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-15-8439-8_22
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• Dual Watermarking of Color Images based on SWT and SVD using Invasive Weed Optimization
  2021 International Conference on Computer Communication and Informatics, ICCCI 2021 2021 DOI: 10.1109/ICCCI50826.2021.9402583
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• Image Fusion of X-ray Mammography Using Weighted Averaging GA-Based SWT Technique
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-15-3828-5_66
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• Image Watermarking Based on Chaos Encryption with Hybrid Mapping and Grey Wolf Optimizer
  International Journal of Intelligent Engineering and Systems 2021 DOI: 10.22266/ijies2021.1231.46
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• Noise Removal in Long-Term ECG Signals Using EMD-Based Threshold Method
  Lecture Notes on Data Engineering and Communications Technologies 2021 DOI: 10.1007/978-981-16-0081-4_48
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• Optimal Dual Watermarking of Color Images with SWT and SVD Through Genetic Algorithm
  Circuits, Systems, and Signal Processing 2021 DOI: 10.1007/s00034-021-01773-y
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• Performance Analysis of K-ELM Classifiers with the State-of-Art Classifiers for Human Action Recognition
  Lecture Notes in Networks and Systems 2021 DOI: 10.1007/978-981-33-4305-4_27
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