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

9 citations · 16 across the 4 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.AI2023

COVID-19 Spreading Prediction and Impact Analysis by Using Artificial Intelligence for Sustainable Global Health Assessment

Subhrangshu Adhikary, Sonam Chaturvedi, Sudhir Kumar Chaturvedi +1

The COVID-19 pandemic is considered as the most alarming global health calamity of this century. COVID-19 has been confirmed to be mutated from coronavirus family. As stated by the…

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…

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…