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Bangla optical character recognition from printed text using Tesseract Engine
(Brac University, 2021-01)
Optical Character Recognition or OCR is a technology that enables us to detect and extract text from images. In our project, we are designing our OCR system around the Bangla language. This is primarily because, there are ...
Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
(Brac University, 2019-08)
In the area of machine learning, speech recognition was always a hot topic but as
world's 8th most widely spoken language Bangla hasn't got the focus as much as she
deserved. This research will be on speech recognition ...
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)
The next level of revolution toward a better world could involve combining human
security with machine intelligence. In recent years, stalking in public areas has
become a pervasive issue, and women are disproportionately ...
Comparative analysis of machine learning models for stock price analysis across different dataset sizes
(Brac University, 2023-05)
The nature of the stock market has always been ambiguous as it constantly fluctuates for various factors. The regular fluctuations have always made it difficult
for investors to invest. This paper compares six different ...
Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
(Brac University, 2022-01)
The Internet of Things (IoT) is a term that refers to billions of actual gadgets
all over the universe that are connected to the network, participating in all social
events, and sharing data. It is the most recent ...
Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
(Brac University, 2020-04)
There are many sounds all around us and our brain can easily and clearly identify
them. Furthermore, our brain processes the received sound signals continuously and
provides us with relevant environmental knowledge. ...
Short term load forecasting based on Internet of Things (IoT)
(BRAC University, 2018-04)
In the era of internet every device is getting connected to the internet. In this paper, we have assumed that IoT devices can share their power consumption history. Based on data points collected from real world environment ...
Recognizing sentimental emotions in text by using Machine Learning
(Brac University, 2022-10)
As one of the fastest and most prominent deep learning technologies being fiddled
with today, sentiment analysis is capable of revealing an individual’s true emotions
by analyzing their facial speech, text, facial ...
RED-LSTM: Real time emotion detection using LSTM
(Brac University, 2023-01)
The development of the Internet of Things and voice-based multimedia apps has
allowed for the association and capture of several aspects of human behavior through
the use of big data, which consists of trends and patterns. ...
Stock price prediction using time series data
(Brac University, 2019-08)
Researchers has taken a lot of years to make algorithms fast and accurate enough to
make stock price predictions accurately. Investors are looking for smarter techniques
to forecast stock prices for investments and this ...