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Now showing items 181-190 of 190
Enhancing object clarity in single channel night vision images using deep reinforcement learning
(Brac University, 2021-01)
There are a lot of novel approaches to image processing using Machine learning and classical image processing. But most of them take a huge dataset[like machine learning] or they are slow and inefficient[like plain image ...
Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim
(BRAC University, 2021-06)
The number of IoT devices around the world is increasing exponentially with the
growth of technology. But the resources we have at hand may prove difficult to
accommodate all of them. To make efficient use of all the ...
An Analysis on Bengali handwritten conjunct character recognition and prediction
(Brac University, 2021-01)
In the very active field of handwriting recognition, a lot of research can be found in the detection of the handwriting of various languages, especially English. However, for languages like Bengali, while they hold some ...
Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
(Brac University, 2021-02)
Sign-language recognition is an essential part of computer vision to solve a communication obstacle between the deaf-mute and the common. Bangladeshi Sign Language (BdSL) is the medium of communication of the deaf and dumb ...
Identification and comparison of factors behind mental turbulence of public and private university students
(Brac University, 2021-06)
Among the young generation of Bangladesh, especially university students, mental
health is a challenging but ignored topic. The primary goal of this paper is to analyze
mental states found in university students all while ...
Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19
(Brac University, 2021-01)
Nationwide lockdowns implemented in consequence of the devastating COVID-19
pandemic, caused noticeable improvements in air quality throughout the world.
This paper implements a multivariate long-short term memory network ...
Identifying brain abnormalities using image processing and CNN models
(Brac University, 2021-06)
In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ...
A feature selection approach to determine obesity using machine learning method
(Brac University, 2021-06)
The new health concern that is proliferating in developing and impoverished countries is obesity. It is recognized as a complex health issue caused by various factors
such as genetics, behaviour, and other issues. Obesity ...
Emotion analysis using machine learning model and deep learning model on DEAP dataset
(Brac University, 2021-10)
Emotion has a signi cant in
uence on how you think and interact with others. It
serves as a link between how you feel and the actions you take, or you could say it
in
uences your life decisions on occasion. Since the ...
A decision support system for symptom-based common diseases and image-based skin diseases detection
(Brac University, 2021-05)
Nowadays, it has become di cult to get in touch with a doctor for the current pandemic
situation. Patients need to wait several days to get an appointment from the
doctor and visiting the hospitals in recent times is ...