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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 ...
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 ...
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 ...
Estimating flood susceptibility of Bangladesh in the future year using machine learning
(Brac University, 2021-06)
Being a riverine country with more than 400 rivers, flood is a common phenomenon
for Bangladesh. As, the land is less than five meters above sea level, and also
due to heavy rainfall during monsoon season, it makes the ...
Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
(Brac University, 2021-06)
The significance and urgency of detecting cognitive load of Visually Impaired Person is essential when perception comes while designing an automated navigation
aid for them in unfamiliar indoor environments.Our paper ...
Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
(Brac University, 2021-06)
Bangladesh, being an Agro-Economy based country, is lacking the technological improvements regarding Supply-Demand ratio of Food Supply to the citizens. Since the
recent price hike of onions in 2019, it is evident that ...
Gene expression analysis using machine learning
(Brac University, 2021-01)
Cancer is a multifactorial disorder that occurs due to the complex interaction between the environment and gene. The susceptibility of a person to cancer depends on his genetic build-up. Recently, the study of genomes in ...
A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
(Brac University, 2021-06)
Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion
line. Therefore, establishing a reliable and ...
Detecting online recruitment fraud by using machine learning
(Brac University, 2021-01)
Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime
region. Companies find it easier to hire people with the help of the internet rather
than the old traditional way. But it has greatly ...