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Machine Learning Based Method For Seizure Identification Using Eeg Signal: a thesis report

By: Yadav, Vipin Prakash (2018REC9119)Contributor(s): Sharma,KK [Supvr.]Material type: Text

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TextPublication details: Jaipur. Department of Electronics and Communication Engineering, MNIT. 2023 Description: xiii,123p. 1 CDSubject(s): Electronics and Communication Engineering | Pattern recognition | EEG signals | ElectroencephalogramDDC classification: 621.38

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Item type	Current library	Call number	Status	Date due	Barcode
Thesis	Malaviya National Institute of Technology	621.38 (2018REC9119) Vip (Browse shelf(Opens below))	Not for loan		Th00783

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Previous	621.38 Dynamic voltage frequency scaling in multi core processors using machine learning algorithms : a thesis report	621.38 Design, fabrication and performance evaluation of junctionless field effect transistor for pH sensing application : a thesis report	621.38 Investigations on fractional transforms and graph signal processing techniques in image enhancement applications : a thesis report	621.38 (2018REC9119) Vip Machine Learning Based Method For Seizure Identification Using Eeg Signal: a thesis report	621.380 283 BAL Antenna Theory	621.380 413 ROD Digital communication systems design /	621.380 5 IET IETE journal of research ; Vol. 57	Next

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