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.
Main Author: | Sikder, Debabrata |
---|---|
Other Authors: | Alam, Md. Golam Rabiul |
Format: | Project report |
Language: | English |
Published: |
Brac University
2024
|
Subjects: | |
Online Access: | http://hdl.handle.net/10361/23155 |
Similar Items
-
Predicting temperature of major cities using machine learning and deep learning
by: Jaharabi, Wasiou, et al.
Published: (2024) -
Leveraging sequential deep learning models for detecting multitude of human action categories
by: Pranta, Kazi Al Refat, et al.
Published: (2024) -
Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
by: Chakraborty, Dhruba, et al.
Published: (2022) -
The influence of neuromarketing: machine learning based empirical analysis
by: Muktadir, MD. Abdullah Al, et al.
Published: (2024) -
Sentiment analysis to determine employee job satisfaction using machine learning techniques
by: Mouli, Nazifa, et al.
Published: (2023)