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Emotion recognition using EEG signal and deep learning approach
(Brac University, 2019-08)
Emotion is a mental state, which originates in the brain and is closely related to the
nervous system. Emotion can be defined as a feeling expressed through, or detectable
by voice intonation, facial expression body ...
Staircase and escalator detection for visually impaired
(BRAC Univeristy, 2016-06)
In this thesis, two different methods are presented for staircase detection. First method works with real time captured still image and second method with real time video. Stairway detection and identification of up stair ...
Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery
(Brac University, 2022-09-28)
UAVs have ignited our curiosity to understand the mechanism of flying and improve the way these vehicles fly to enable them to be of great benefit in a variety of ap-plications such as exploration, rescue, 3D mapping, ...
A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
(Brac University, 2023-05)
Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ...
Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods
(Brac University, 2020-10)
Individuals are free to articulate thousands of emotions. Emotion can be associated with feelings articulated by or observable by voice intonation, a facial expression of body language, an initial response from one’s mood ...
Stock price forecasting using Bayesian network
(BRAC University, 2018-08)
In a financially volatile market, as the stock market, it is important to have a very precise prediction of a future trend. Because of the financial crisis and scoring profits, it is mandatory to have a secure prediction ...
Web mining for better web usability
(BRAC University, 2007-12)
To develop more effective user-oriented learning techniques for the Web, we
need to be able to identify a meaningful session unit from which we can learn.
Without this, we could have a high risk to mix up the different ...
X-Ray (2D) and CT-scanned (3D) image matching for person identification
(BRAC University, 8/21/2017)
Development in medical science has created a vast research area in medical image processing. Superimposition of different type of diagnostic images like X-ray, CT scan, MRI scan which provide accuracy in identification of ...
Optimal transport theory based GAN for medical image augmentation and classification
(Brac University, 2023-01)
Unsupervised neural networks called Generative Adversarial Networks (GANs) are
used to provide realistic pictures without relying on the original data. Due to dis parities in illness occurrence, the challenge of class ...
Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
(Brac University, 2022-01)
The connection between heart and kidney has been medically established. The presence
of a condition affecting one of the organs impairs the other. Hence, the causal
associations between two of the most long-term conditions: ...