most citedDependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques

9 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE20231 cited

Nature Inspired Evolutionary Swarm Optimizers for Biomedical Image and Signal Processing -- A Systematic Review

Subhrangshu Adhikary

The challenge of finding a global optimum in a solution search space with limited resources and higher accuracy has given rise to several optimization algorithms. Generally, the gr…

q-bio.QM20239 cited

Dependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques

Subhrangshu Adhikary, Sudhir Kumar Chaturvedi, Saikat Banerjee +1

Marine chlorophyll which is present within phytoplankton are the basis of photosynthesis and they have a high significance in sustaining ecological balance as they highly contribut…

cs.MM20231 cited

Images Within Images? A Multi-image Paradigm with Novel Key-Value Graph Oriented Steganography

Subhrangshu Adhikary

Steganographic methods have been in the limelight of research and development for concealing secret data within a cover media without being noticed through general visualization. T…

cs.CV20236 cited

Automatized marine vessel monitoring from sentinel-1 data using convolution neural network

Surya Prakash Tiwari, Sudhir Kumar Chaturvedi, Subhrangshu Adhikary +2

The advancement of multi-channel synthetic aperture radar (SAR) system is considered as an upgraded technology for surveillance activities. SAR sensors onboard provide data for coa…

q-bio.NC20235 cited

Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface

Subhrangshu Adhikary, Kushal Jain, Biswajit Saha +1

Electroencephalogram (EEG) is a very promising and widely implemented procedure to study brain signals and activities by amplifying and measuring the post-synaptical potential aris…