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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 ...
Bangla number plate recognition from noisy video footage using deep learning
(Brac University, 2021-01)
The automatic number plate recognition of a vehicle from noisy footage has become an important issue in Bangladesh. In Bangladesh, the number of vehicles is increasing at a very high frequency. Moreover, unlike the English ...
Real time action recognition from video footage
(Brac University, 2021)
Crime rate is increasing proportionally with the increasing rate of the population.
The most prominent approach was to introduce Closed-Circuit Television (CCTV)
camera-based surveillance to tackle the issue. Video ...
X-Ray classification to detect COVID-19 using ensemble model
(Brac University, 2021-06)
Diagnosis with X-Rays and other forms of medical images has soared to new heights
as an alternative visual Covid infection detector. Radiographic images, primarily
CT scans and X-Rays images play massive roles in assisting ...
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
(Brac University, 2021-01)
Among the most convenient bacteriological assessments for the diagnosis and treatment with several health complications is the chest X-Ray. The World Health Organization (WHO) estimates, for instance, that pneumonic plague ...
Content based image search in openstack swift
(Brac University, 2021-09)
The OpenStack Object Store, also known as Swift, is a cloud storage software. Swift
is optimized for durability, availability; also concurrency across the entire data set.
However, Swift does not have a proper technique ...
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 ...