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Voice impersonation detection using LSTM based RNN and explainable AI
(Brac University, 2021-10)
The advancing eld of arti cial synthetic media introduced deepfakes which made
it easier to synthesize a person's voice, identical to their original voice mechanically
to use it for negative means. People's voices are ...
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
(Brac University, 2021-06)
Epilepsy is the most common neurological issue in people after stroke. Around
40 or 50 million individuals on the planet endure epilepsy. Epilepsy is characterized by an irregular seizure in which abnormal electrical ...
Approaching transfer learning to identify correctly worn facial masks
(Brac University, 2021-06)
Climate change has made the outbreak of diseases, especially airborne and contagious diseases much more extreme. Therefore, wearing masks has become essential in protecting ourselves not only from very common airborne ...
What is relevant in a text document a machine learning based approach
(Brac University, 2021-06)
Text Documents often contain valuable data. But not all data is relevant. That is
why extracting relevant data from text documents is an essential task. Extracting
relevant data from text documents refers to the study ...
Heart disease prediction using techniques of classification in machine learning
(Brac University, 2021-06)
In this thesis we have examined the accuracy of various classifiers to predict heart
disease and heart vessel blockage. We have also analyzed the key features contribut ing to heart vessel blockage. We have used a dataset ...
Affective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting
(Brac University, 2021-01)
Emotion analysis has become a very important aspect in everyday life. It gives a detailed understanding of the behavior of human. In this research, we have focused on three dimensions of emotion. These are arousal (calm ...
An IoT-based ambient assisted living for elderly care and monitoring in COVID-19 pandemic using arti cial intelligence and deep learning
(Brac University, 2021-06)
In late 2019, a novel Coronavirus broke out from China, which has dispersed all over
the globe and has taken away countless lives. Despite the fact that every person
is at risk of getting infected with the virus, older ...