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Electroencephalography (EEG) based motor imagery Brain-Computer Interface (MI-BCI) paradigm is used to communicate with external device by people who lost peripheral nerve control, or perform neuro-rehabilitation for stroke patients. BCI systems based on motor imagery often employ feature extraction algorithms based on Common Spatial Patterns (CSP). CSP is capable of discriminating two classes, but...
Brain-Computer Interface (BCI) provides a direct communication pathway between brain and computer/machine bypassing the conventional pathway of nerves and muscles. Electroencephalography (EEG) is the most commonly used brain signal acquisition technique in BCI systems. The use of motor imagery (MI) patterns in EEG-based BCI has been proven as an effective method to translate the user's movement intention...
Flood is one of the detrimental hydro-meteorological threats to mankind. This compels very efficient flood assessment models. In this paper, we propose remote sensing based flood assessment using Synthetic Aperture Radar (SAR) image because of its imperviousness to unfavourable weather conditions. However, they suffer from the speckle noise. Hence, the processing of SAR image is applied in two stages:...
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