OPAC_KOHA catalog › Details for: Analysis of Machine Learning Techniques for Human Activity Recognition

Search

Cover image

Normal view MARC view ISBD view

Analysis of Machine Learning Techniques for Human Activity Recognition by Adarsh

By: AdarshMaterial type: Text

Text

TextPublication details: Jaypee University of Information Technology, Solan 2022Subject(s): Electronics and Communication EngineeringDDC classification: 621 ADA

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Comments ( 0 )

Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode	Item holds
B TECH PROJECT REPORTS	LRC_JUIT	PROJECT REPORT SECTION	SPR 621 ADA (Browse shelf (Opens below))	Not for loan	Guided by Sunil Datt Sharma		SP1822206

Total holds: 0

Browsing LRC_JUIT shelves, Collection: PROJECT REPORT SECTION Close shelf browser (Hides shelf browser)

Previous	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	Next
Previous	SPR 615 VER Isolation and Phytochemical Screening of Stinging Nettle	SPR 615 VER Design and Development of Polyurethane Released System for Reducing Infections	SPR 615 VER Investigation of the Effect of Quercitin on Type 2 Diabetes Associated Depressive Illness	SPR 621 ADA Analysis of Machine Learning Techniques for Human Activity Recognition	SPR 621 ADH GSM Antenna Design and Simulation & Indoor Wave Propagation Modeling	SPR 621 AGA Smart Traffic Control System Based on Vehicle Density	SPR 621 AGA Auto Path Finder Robbot	Next

There are no comments on this title.

to post a comment.

Library Home | Contact Us | LRC Help

Copyright @ 2020 LRC
Jaypee University of Information Technology

website hit counter

Powered by Koha