Browsing Thesis & Report, MSc (Computer Science and Engineering) by Subject "Deep learning"
Now showing items 1-6 of 6
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An android application to predict human activity using a deep learning LSTM model
(Brac University, 2023)The machine learning approach to estimate human activity using smartphone sensor data is challenging. In this project, the HAR approach is conducted based on the LSTM model and can recognize six different behaviors, i.e., ... -
A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
(Brac University, 2023-09)Predicting and understanding traffic patterns have become important objectives for maintaining the Quality of Service (QoS) standard in network management. This change stems from analyzing the data usage on cellular ... -
Empowering mobile network planning through deep learning: a path to democratization
(Brac University, 2023-09)In the realm of cellular network internet data traffic assessment, the imperative task of forecasting and comprehending traffic patterns assumes pivotal significance for the effective management of network-designed Quality ... -
Full stack development of UBERA system
(BRAC University, 2023-05)The system named ‘UBERA’ is a web application which is undertaken as a system which has the ability to assess buildings and produce an output result if they are vulnerable to earthquake or not. It is an automatic decision ... -
LRFS: online shoppers’ behavior based efficient customer segmentation model
(Brac University, 2023-02)The popularity of online shopping has grown significantly across the globe in recent years. This research proposes a customer segmentation model LRFS, an extended version of LRF model, built specifically for online ... -
Sentiment analysis on Bangladesh airlines review data using machine learning
(Brac University, 2022-02)A common means of transportation in our everyday lives is air travel. As a result, it's no surprise that more and more customers are posting their airline reviews online. However, in the age of machine learning, it would ...