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Bang-lish sentiment classification using deep learning
(Brac University, 2023-01)
E-commerce websites and social media platforms have become integral parts of peo ple’s social lives. Through posts, comments, and reviews on social media and online
shopping websites, people can share their ideas. ...
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)
We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which
are data acquisition, preprocessing and classification. ...
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 ...
Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
(Brac University, 2023-01)
Despite various preventative measures and therapies, the COVID-19 pandemic has
exposed a number of weaknesses and vulnerabilities in global health systems, particularly in low and middle-income countries that may have ...
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, ...
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 ...
Deep learning based arrhythmia classification on low-cost and low-compute MCU
(Brac University, 2023-01)
According to WHO, cardiovascular disease (CVD) is the leading cause of death glob ally. Unfortunately, these diseases are difficult to diagnose without proper equip ment which is not cheap. One of the reasons for such a ...
Explainable breast cancer detection from Histopathology images using transfer learning and XAI
(Brac University, 2023-01)
Nowadays, research on many diseases such as cancer has been ongoing to determine
how to reduce and minimise the effect. There are many characteristics of cancer that
can be identified by their consistent cell proliferation ...