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How has Keisham Pritamdas's publication output changed over time?
ScholarIQpublication output · 2015–2024
Output grew0% over the shown period — from 1 works in 2015 to 1 in 2024.
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1
4
1
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201520162017201820232024
What are the most-cited papers on Keisham Pritamdas?
ScholarIQmost cited works
Custom Convolutional Neural Network for Detection and Classification of Rice Plant Diseases
Sanasam Premananda Singh, Keisham Pritamdas, Kharibam Jilenkumari Devi, Salam Devayani Devi
Procedia Computer Science. 202360 CitationsOPEN ACCESS
Performance analysis of new adaptive decision based median filter on FPGA for impulsive noise filtering
Mohammad Ismaeil, Keisham Pritamdas, Kh. Jilen Kumari Devi, Samarth Goyal
2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology (IEMENTech). 20179 Citations
Edge detective weights initialization on Darknet-19 model for YOLOv2-based facemask detection
Richard Ningthoujam, Keisham Pritamdas, Loitongbam Surajkumar Singh
S147897268. 20248 Citations
An adaptive switching filter based on approximated variance for detection of impulse noise from color images
Keisham Pritamdas, Kh. Manglem Singh, L. Lolit Kumar Singh
S2531072874. 20165 CitationsOPEN ACCESS
Removal of impulse noise from color images based on the localized image characteristics and noise level
Keisham Pritamdas, Kh. Manglem Singh, L. Lolit Kumar Singh
S156904493. 20185 Citations
Related on ScholarIQ
Custom Convolutional Neural Network for Detection and Classification of Rice Plant Diseases
Paper
Performance analysis of new adaptive decision based median filter on FPGA for impulsive noise filtering
Paper
Edge detective weights initialization on Darknet-19 model for YOLOv2-based facemask detection
Paper
An adaptive switching filter based on approximated variance for detection of impulse noise from color images
Paper
Removal of impulse noise from color images based on the localized image characteristics and noise level
Paper
Low power VLSI transposed structure FIR filter using shift/add architecture
Paper