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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: ...
Classi cation of magnetic configurations using machine learning algorithms
(Brac University, 2019-08)
Machine learning is used to carry out e cient studies and analyses in the eld of condensed
matter physics. We propose comprehensive machine learning approaches that
would classify between magnetic structures. We propose ...
Study on human emotion based on facial expressions through human machine communication
(Brac University, 2020-04)
Facial expressions are reactions of internal emotions that express states of human minds. In busy life people are ignorant about the emotions of others. Sometimes it’s hard for a person to interact with another individual ...
Graph data mining-based community clustering for gender-biased community detection of social media
(Brac University, 2023-05)
One of the alarming and uprising issues of the world is gender inequality in recent decades. It is a widespread problem that affects people all around the world, albeit its manifestations and severity vary depending on ...
Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
(Brac University, 2021-10)
Nature and technology are two di erent subject matter with having much dissension
between each. Only a few years back, technological growth looked like a threat to
nature. However, the bene t of having huge computational ...