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DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
(Brac University, 2022-09)
Moiré artifacts is a special type of noise which is rarely considered in deep learning
based image processing tasks. But with the increasing number of digital screens like
TV, laptop, desktop screens etc. it is becoming ...
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 ...
Voice recognition using machine learning and central database to enhance security system
(Brac University, 2022-01)
Voice recognition refers to the purpose of interpreting voice or identifying any individual
voice. In modern days of technological advancement voice recognition has
been playing an integral part behind many machine ...
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 ...
A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
(Brac University, 2023-05)
Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ...
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 ...
Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
(Brac University, 2023-01)
The livestock industry is a vital component of the global economy, with a value estimated at over $1.4 trillion. However, the health of livestock animals is frequently
threatened by infectious diseases, which can have ...
Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
(Brac University, 2022-05)
The COVID-19 pandemic has significantly affected day to day lifestyle all over the
planet by disequilibrating social order. It moreover added anxiety about the capability
of the world’s democracies to cope with the vital ...