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A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
(Brac University, 2021-10)
Depression and mental health issues (stress, nervousness, panic attacks, anxiety
attacks etc.) are nowadays a major issue in the whole world. It is a common cause
of mental illness that has been linked to an increased ...
Analysing Facebook user risk using machine learning algorithm
(Brac University, 2020-04)
Now-a-days people exchange their personal information and interact with companions and close relatives in a way which is revolutionized. In any case, the majority of
them don’t have the foggiest idea how to utilize, where ...
Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
(Brac University, 2021-01)
The rate of population growth of southern Asia is rising dramatically. As a part of
this area, Bangladesh is no different. Moreover, the cultivable lands are declining at
a huge rate. So to maintain the balance between ...
An approach to detect epileptic seizure using XAI and machine learning
(Brac University, 2022-05)
One of the most common neurological disorder in health sector is Epileptic Seizure
(ES) which is occurred by sudden repeated seizures. Hitherto more than 50 million
people in the whole world are suffering from Epileptic ...
A comparative study of deep learning methods for automating road condition characterization
(Brac University, 2020-04)
Roads in Bangladesh provide infrastructural facilities to both agricultural as well as industrial sectors of the country. Distressed roads can cause fatal accidents as well as largely decelerate sector progress. This makes ...
Health monitoring IoT device with risk prediction using cloud computing and machine learning
(Brac University, 2020-04)
Health issues often stay hidden due to not having regular health checkups. Sometimes
these issues build-up to a signi cant health hazard which stays hidden until
it's often too late. So we came up with a series of ideas ...
Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
(Brac University, 2022-09)
Recently, researchers have focused on understanding human sentiment using mechanical devices or reactions to any machinery activity. Computerization is becoming more prevalent in today’s environment. People are unaware of ...
A macroeconomic model for forecasting crude oil prices with Feedforward Neural Network Grid Search Experimentation
(Brac University, 2019-12)
Crude oil is one of the most important determinant of the global and national economy and important decision making factors of industrial activities. For this reason,
numerous mathematical and machine learning approaches ...
Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
(Brac University, 2021-01)
Retinal disease diagnosis by machine learning can be achieved using Deep Neural
Network based predictors. Use of Explainable Artificial Intelligence (XAI) has the
potential to explain the black box of those neural network ...
Classification of damaged vegetation areas using convolutional neural network over satellite images
(Brac University, 2021-01)
Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ...