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Novel Deep Learning Algorithms to Improve Accuracy of fNIRS Signal for BCI Applications

By:

Akhter, Jamila (212042)

Material type: Text

Text

TextPublication details: Islamabad Department of Mechatronics Engineering 2024Subject(s):

Mechatronics Engineering

DDC classification:

629 AKH-PHD

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Thesis	Air University Central Library Thesis Repository (5th Floor) Mechatronic Engineering	Mechatronic Engineering	629 AKH-PHD (Browse shelf(Opens below))	Available	TH0715

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Previous	629 AHM-MS Sensitivity Enhancement Of Resonant Micro Accelerometer Using Mode Localization	629 AJM-BS Design and fabrication of BLDC Controller with integration on prototype EV with HUB motors	629 AKH BMTS Steam generation by parabolic concentrator	629 AKH-PHD Novel Deep Learning Algorithms to Improve Accuracy of fNIRS Signal for BCI Applications	629 ALA BMTS CNC milling machine performance improvemet	629 ALA MS Trajectory Planning and Trajectory Tracking of a Mobile...	629 ALE-BS Solar power autonomous lawn mower	Next

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