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.

Bibliografiska uppgifter
Huvudupphovsman: Sikder, Debabrata
Övriga upphovsmän: Alam, Md. Golam Rabiul
Materialtyp: Project report
Språk:English
Publicerad: Brac University 2024
Ämnen:
Machine learning
Deep learning
Human activity recognition
Recurrent neural networks
Long short-term memory networks
Länkar:http://hdl.handle.net/10361/23155

Internet

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

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