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.
Главный автор: | Sikder, Debabrata |
---|---|
Другие авторы: | Alam, Md. Golam Rabiul |
Формат: | Project report |
Язык: | English |
Опубликовано: |
Brac University
2024
|
Предметы: | |
Online-ссылка: | http://hdl.handle.net/10361/23155 |
Схожие документы
-
Predicting temperature of major cities using machine learning and deep learning
по: Jaharabi, Wasiou, и др.
Опубликовано: (2024) -
Leveraging sequential deep learning models for detecting multitude of human action categories
по: Pranta, Kazi Al Refat, и др.
Опубликовано: (2024) -
Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
по: Chakraborty, Dhruba, и др.
Опубликовано: (2022) -
The influence of neuromarketing: machine learning based empirical analysis
по: Muktadir, MD. Abdullah Al, и др.
Опубликовано: (2024) -
Sentiment analysis to determine employee job satisfaction using machine learning techniques
по: Mouli, Nazifa, и др.
Опубликовано: (2023)