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Designing an efficient adaptive Res-Dense-LSTM-based Alzheimer disease detection framework with feature extraction process from EEG signal in the healthcare industry.

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Title: Designing an efficient adaptive Res-Dense-LSTM-based Alzheimer disease detection framework with feature extraction process from EEG signal in the healthcare industry.
Authors: Nandakumar, R.1, drrnandakumar@gmail.com, Alzubi, Jafar A.2, j.zubi@bau.edu.jo, Rajakumar, M. P.3, rajakumarmp@stjosephs.ac.in, Venugopal, Sumanth4, sumanth.v@manipal.edu
Source: EURASIP Journal on Advances in Signal Processing; 5/13/2026, Vol. 2026 Issue 1, p1-32, 32p
Database: Applied Science & Technology Source
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Header DbId: aci
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An: 195318969
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  Data: Designing an efficient adaptive Res-Dense-LSTM-based Alzheimer disease detection framework with feature extraction process from EEG signal in the healthcare industry.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195318969
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        Value: 10.1186/s13634-026-01318-y
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        Text: English
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              Text: 5/13/2026
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              Y: 2026
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