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An interpretable deep learning approach to detect Alzheimer using MRI images
(Brac University, 2023-01)
Alzheimer’s disease (AD) is a serious neurological condition that causes loss of long term memory, cognitive difficulties, disorientation, inconsistent behavior, and even tually death. Also, AD is caused by the destruction ...
Classification of peripheral blood cell images using deep learning
(Brac University, 2023-01)
Diagnosis and Identification of cells and disease infected cells are and important
part of in medical science that bears huge significance even today. There are health
implications can often be identified my observing ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
Sentiment analysis to determine employee job satisfaction using machine learning techniques
(Brac University, 2023-01)
Over the past three years, the COVID-19 epidemic had a significant impact on
the labor market. Employees have been laid off and the majority of them have
changed careers. If they can collect more datasets in the future, ...
Plant leaf disease identification
(Brac University, 2023-01)
Agriculture has consistently been an essential component of our day-to-day life over
the centuries. Because of its contribution to our country’s revenue, the importance
of agriculture has been steadily growing over the ...
An interpretable transformer based approach to classify Malaria from blood cell images
(Brac University, 2023-01)
Malaria is a disease that can be fatal, and it is spread through the bite of the female
Anopheles mosquito. The life of the sufferer is put in jeopardy as a result of the pres ence of numerous plasmodium parasites, which ...