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Predicting regional accents of Bengali language using deep learning
(Brac University, 2021-09)
Accent is a huge challenge in communication for all languages. Different people
who speak the same language might pronounce the same word differently. In a
conversation, if two people are from different regions and they ...
An efficient deep learning approach to detect skin Cancer
(Brac University, 2021-09)
Each year, millions of people around the world are affected by cancer. Research
shows that the early and accurate diagnosis of cancerous growths can have a major
effect on improving mortality rates from cancer. As human ...
Early detection of diabetic retinopathy using deep learning techniques
(Brac University, 2021-10)
We, humans, are the bearer of diseases. While most of them have a thoroughly
researched and contemplated solution set, some of them do not. Diabetes is one of
those common diseases that do not have a clear solution but ...
A deep learning approach towards soft biometrics attributes prediction using CNN
(Brac University, 2021-09)
Any physical, behavioural or adhered human characteristics that we can observe
from a person is known as Soft Biometric.The most common physical soft biometric
attributes are height, age, ethnicity, facial hairs, gender, ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
Deep learning-based waste classification system for efficient waste management
(Brac University, 2021-10)
A smart waste management system plays a vital role in building cleanliness, hygienic,
and healthier living for the inhabitants of a city. However, the inherent problems
of the waste management system are still a matter ...
Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
(Brac University, 2021-10)
Nature and technology are two di erent subject matter with having much dissension
between each. Only a few years back, technological growth looked like a threat to
nature. However, the bene t of having huge computational ...
Prostate cancer detection using deep learning neural network with transfer learning approach
(Brac University, 2021-10)
Prostate cancer is a ubiquitous form of cancer detected among men all over the
world. It is currently the second leading cause of cancer death worldwide among
men. Research shows that about 11% of men worldwide are ...
Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)
Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava
is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause
a variety of illnesses on cassava leaves. This ...
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)
Colon cancer is one the most prominent and daunting life threatening illnesses in
the world. Histopathological diagnosis is one of the most important factors in determining
cancer type. The current study aims to create ...