Automatic feature extraction for human activity recognition using deep learning algorithm
Rabia shabbir(S19A14G05022)
Automatic feature extraction for human activity recognition using deep learning algorithm - Faisalabad (unpublished) 2020 - xiii, 59 p. : ill. (col.) ; 30 cm.
A thesis submitted in the partial fulfillment of the requirements for the degree of Master of Computer Science to the Faculty of Computing.
Thesis supervisor: Dr. Umer iqbal
Includes bibliographical references.
Thesis (M.Phil.)--Riphah International University, 2021
English
Algorithm
Machine learning --Decision tree--Internet--Computer science--FSSH
004 / RAB
Automatic feature extraction for human activity recognition using deep learning algorithm - Faisalabad (unpublished) 2020 - xiii, 59 p. : ill. (col.) ; 30 cm.
A thesis submitted in the partial fulfillment of the requirements for the degree of Master of Computer Science to the Faculty of Computing.
Thesis supervisor: Dr. Umer iqbal
Includes bibliographical references.
Thesis (M.Phil.)--Riphah International University, 2021
English
Algorithm
Machine learning --Decision tree--Internet--Computer science--FSSH
004 / RAB