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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 ...
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, ...
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 ...
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 ...
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 ...
Brain tumor detection through image processing
(Brac University, 2021-01)
Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...
Sentiment analysis using Natural Language Processing (NLP) & deep learning
(Brac University, 2021-09)
It is an age of the Web and electronic media, and social media stages are one of the
foremost frequently used communication mediums these days. But a few individuals
utilize these platforms for a noxious reason and among ...
Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
(Brac University, 2021-01)
In competitive markets, it is costly to attract new customers in the business as
they already have a wide customer base; that being the case, businesses spend a
healthy budget to bring back customers who have once been ...
Demystifying black-box learning models of rumor detection from social media posts
(BRAC University, 2021-09)
Social media and its users are vulnerable to the spread of rumors, therefore, protect ing users from these rumors spread is extremely important. This research proposes a
novel approach for rumor detection in social media ...