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Comparison of different CNN architectures for brain tumor detection using fMRI
(Brac University, 2020-04)
Brain is the most vital organ of human body which controls the entire nervous system of human body. In that case, if anything goes wrong inside our brain the entire
nervous system gets collapsed. The brain tumors are the ...
Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
(Brac University, 2020-04)
Uterine cervical cancer is the second most regular gynecological harm around the
world. The appraisal of the degree of sickness is fundamental for arranging ideal
treatment. Imaging procedures are progressively utilized ...
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
(Brac University, 2021-01)
Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores,
robots, infrastructure and surveillance monitoring programs ...
RetinalNet-500: a newly developed CNN model for eye disease detection
(Brac University, 2022-05)
Fundus images are commonly used by medical experts like ophthalmologists, which
are very helpful in detecting various retinal disorders. They used this to diagnose
the different types of eye diseases like Cataracts, ...
Classification of Bangladeshi soil texture using convolutional neural network
(Brac University, 2022-09-29)
In agriculture, soil is one of the most potential output sources. That is why, if
we can foresee the soil’s nature and how it will turn in the future as well as it’s
other qualities, we may achieve adequate monitoring ...
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)
Demand forecasting is mainly a process whereby analyzing historical sales data,
strategic and operational strategies are devised in order to estimate customer demand.
One of the most fundamental aspects of supply chain ...
Multi-modal emotion recognition for determining employee satisfaction
(Brac University, 2020-04)
Emotion Detection has been very popular in the field of research for a couple of
years. In the past, emotion recognition has been studied and applied in order to
detect the overall emotional state of a person using ...
A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
(Brac University, 2022-09)
Data innovation has moved quickly in recent years, and various unfavorable alter ations have been made to the network medium. Social media platforms like Face book, Twitter, and Instagram are becoming more and more popular ...
Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
(Brac University, 2022-01)
Infectious and non-infectious respiratory diseases are among the major reasons for
deaths, financial and social crises around the world. However, medical personnel
still find it very difficult to detect the diseases using ...
Music genre classification with convolutional neural network
(Brac University, 2022-01)
Today, Music is one of the effective forms of entertainment. Everyday new Music
is being composed, and the quantity of Music is increasing day by day. So, it is
essential to classify or categorize Music into different ...