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Sound classification using deep learning for hard of hearing and deaf people
(Brac University, 2022-01)
Our paper mainly focuses on developing an audio classification for people, who
cannot hear properly, using Convolutional Neural Network (CNN) and Recurrent
Neural Network (RNN). One of the many prevalent complaints from ...
Rumor detection in Bangla using machine learning & deep learning
(Brac University, 2022-05)
Over the last decade, social media networks have become a vital platform for sharing
and obtaining information. Nevertheless, one of the dark sides of this social
media fever is rumors and fake news. Because misinformation ...
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)
Demand forecasting is mainly a process whereby analyzing historical sales data,
strategic and operational strategies are devised in order to estimate customer demand.
One of the most fundamental aspects of supply chain ...
An improved deepfake detection using deep learning
(Brac University, 2022-09-28)
With the emergence of Generative Models for creating Deepfake images, and videos
of high quality, which are extremely realistic and hard to recognize, several social,
and political issues have come to light. DeepFakes ...
Analysis of financial data on the time series using data from the stock market
(Brac University, 2022-05)
Predicting financial data is really important for investors Often times investors do
not have a proper tool to properly assess the market and forecast their predictions.
Furthermore, not only investors in modern day ...