A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.
| Prif Awdur: | Islam, Md Rashidul |
|---|---|
| Awduron Eraill: | Alam, Golam Rabiul |
| Fformat: | Traethawd Ymchwil |
| Iaith: | English |
| Cyhoeddwyd: |
Brac University
2024
|
| Pynciau: | |
| Mynediad Ar-lein: | http://hdl.handle.net/10361/23110 |
Eitemau Tebyg
-
Empowering mobile network planning through deep learning: a path to democratization
gan: Nabi, Syed Tauhidun
Cyhoeddwyd: (2024) -
Deep learning : foundations and concepts /
gan: Bishop, Christopher M.
Cyhoeddwyd: (2024) -
An android application to predict human activity using a deep learning LSTM model
gan: Sikder, Debabrata
Cyhoeddwyd: (2024) -
Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
gan: Biswas, Sunanda, et al.
Cyhoeddwyd: (2022) -
Leveraging sequential deep learning models for detecting multitude of human action categories
gan: Pranta, Kazi Al Refat, et al.
Cyhoeddwyd: (2024)