An android application to predict human activity using a deep learning LSTM model

An android application to predict human activity using a deep learning LSTM model

This project report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.

Bibliografische gegevens
Hoofdauteur: Sikder, Debabrata
Andere auteurs: Alam, Md. Golam Rabiul
Formaat: Project report
Taal:English
Gepubliceerd in: Brac University 2024
Onderwerpen:
Machine learning
Deep learning
Human activity recognition
Recurrent neural networks
Long short-term memory networks
Online toegang:http://hdl.handle.net/10361/23155

Internet

http://hdl.handle.net/10361/23155

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