Mar 3, 2020 · We develop a hybrid model which uses stacking, where the first layer of stack extracts the feature from the pre-processed EEG signals with the ...
In this paper, we analyze the use of EEG signals for applications related to home automation. We present a hybrid model which makes use of Long Short-Term ...
EEG-Based Home Automation System Using Brain Sense Device · Algorithm design of a combinatorial mathematical model for computer random signals · An efficient EEG ...
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A hybrid classifier combination for home automation using EEG signals. Partha Pratim Roy Pradeep Kumar Victor Chang. Published in: Neural Comput. Appl. (2020).
In this paper, we analyze the use of EEG signals for applications related to home automation. We present a hybrid model which makes use of Long Short-Term ...
EEG brain sensor details: a Emotiv EPOC+ EEG headset, b EEG electrode's.. A hybrid classifier combination for home automation using EEG signals. Article. Full ...
This proposed classification model establishes a machine learning-based hybrid model for the classification of eye state using EEG signals with greater ...
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Categorization of EEG Using Hybrid Features and Voting classifier ...
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A majority voting classifier with hybrid features to identify motor imagination shows better performance compared to the regular machine learning-based ...
In this paper, we have developed a hybrid DL architecture for the efficient analysis of the EEG signal.
Dec 10, 2020 · We propose a multistep hybrid approach incorporating the Reversed Correlation Algorithm for automated frequency band—electrode combinations ...
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