Search Results for author:
Found 5 papers, 0 papers with code
Nature Inspired Evolutionary Swarm Optimizers for Biomedical Image and Signal Processing -- A Systematic Review
In the state-of-the-art, there are no systematic reviews available that have discussed the applications of nature-inspired algorithms on biomedical signal processing.
Automatized marine vessel monitoring from sentinel-1 data using convolution neural network
The advancement of multi-channel synthetic aperture radar (SAR) system is considered as an upgraded technology for surveillance activities.
COVID-19 Spreading Prediction and Impact Analysis by Using Artificial Intelligence for Sustainable Global Health Assessment
The COVID-19 pandemic is considered as the most alarming global health calamity of this century.
Dependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques
Imbalance in the concentrations of phytoplankton can disrupt the ecological balance.
Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface
Electroencephalogram (EEG) is a very promising and widely implemented procedure to study brain signals and activities by amplifying and measuring the post-synaptical potential arising from electrical impulses produced by neurons and detected by specialized electrodes attached to specific points in the scalp.
