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Lower limb activity recognition based on sEMG signal using machine learning techniques : a thesis report

By: Vijayvargiya, Ankit (2018REE9070)Contributor(s): Kumar, Rajesh [Supvr.]Material type: Text

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TextPublication details: Jaipur Department of Electrical Engineering, MNIT 2022 Description: xxvi,177 +1CDSubject(s): Electrical Engineering | Lower limb activity recognition based on sEMG signal using machine learning techniquesDDC classification: 621.3

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Item type	Current library	Call number	Status	Date due	Barcode
Thesis	Malaviya National Institute of Technology Reference	621.3 (Browse shelf(Opens below))	Not for loan		TH00704

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Previous	621.3 Optimal integration of smart grid enabling technologies in modern distribution network : a thesis report	621.3 Design, implementation and control of BLDC motor drive : a thesis report	621.3 Adaptive receding horizon control of greenhouse environment : a thesis report	621.3 Lower limb activity recognition based on sEMG signal using machine learning techniques : a thesis report	621.3 Investigations on energy management system and power quality of microgrid integrated with plug in electric vehicles under multiple uncertainties : a thesis report	621.3 Investigations on certain controllers and energy management system for DC microgrid : a thesis report	621.3 AGA POWER DISTRIBUTION SYSTEM HARMONICS ANALYSIS AND EFFECT OF HARMONIC FILTER INSTALLATION	Next

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