Empowering mobile network planning through deep learning: a path to democratization
This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2023.
Autor principal: | Nabi, Syed Tauhidun |
---|---|
Otros Autores: | Alam, Golam Rabiul |
Formato: | Tesis |
Lenguaje: | English |
Publicado: |
Brac University
2024
|
Materias: | |
Acceso en línea: | http://hdl.handle.net/10361/23113 |
Ejemplares similares
-
A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
por: Islam, Md Rashidul
Publicado: (2024) -
An android application to predict human activity using a deep learning LSTM model
por: Sikder, Debabrata
Publicado: (2024) -
Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
por: Biswas, Sunanda, et al.
Publicado: (2022) -
Leveraging sequential deep learning models for detecting multitude of human action categories
por: Pranta, Kazi Al Refat, et al.
Publicado: (2024) -
Damaged road detection using Image Processing and Deep Learning
por: Swadesh, Shimran Mahbub, et al.
Publicado: (2022)