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Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)
The world is going through a severe viral pandemic which is caused by COVID-
19. People infected with this virus, experience severe respiratory illness. The virus
spreads through particles of saliva or droplets from an ...
Detection of alzheimer's disease using deep learning
(Brac University, 2019-12)
Machine Learning has been on top of its form over the last few years. It covers a vast
area of predictive web browsing, email and text classification, object detection, face
recognition etc. Among all of the other ...
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) ...
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 ...
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
(Brac University, 2021-05)
The world is changing with the pace of information technology revolution and now
a-days anybody can access to the internet including the children. Since birth These
21st century children are able to access to the di erent ...
Leaf classification by feature extraction using CNN
(Brac University, 2019-12)
Plants are an integral part of our nature. The identification and classification of
plant leaves has always been a matter of interest for the botanists as well as the
laymen. Classification of plant leaves will enable ...
Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
(Brac University, 2020-04)
Parkinson’s disease is a neurological condition that is dynamic and steadily influences the movement of the human body. It causes issues within the brain and slowly
increments time by time. Tremor is the major side effect ...
Speech emotion detection using supervised, unsupervised and feature selection algorithms
(BRAC University, 2019-04)
A tremendous research is being done on Speech Emotion Recognition (SER) in the
recent years with its main motto to improve human machine interaction. In this
thesis work,we have introduced a scheme for emotion recognition ...
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. ...
Quantum error correction using quantum convolutional neural network
(Brac University, 2021-06)
Quantum computing with its powerful attributes - entanglement and superposition, is revolutionizing modern computation. Moreover, quantum computation can
be applied to a wide range of real-world applications, including ...