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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 ...
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 ...
A comparative performance analysis of accident anticipation with deep learning extractors
(Brac University, 2022-09-29)
Accident anticipation has become a major focus to avert accidents or to minimize
their impacts. Over the years, several network systems are being developed and
applied in self-driving technology. Despite the fact that ...
Skin cancer detection and classification using multiple optimized deep convolutional neural network
(Brac University, 2022-05)
This work tries to detect skin cancer and classify its type using datasets containing
labeled images and classes, using pre-trained CNN models and merged
pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
(Brac University, 2022-05)
Given the growing and massive shock to the hotel industry, the coronavirus (COVID-
19) outbreak has generated an unexpected problem. The hotel industry is currently
facing a big obstacle during the COVID period, where ...
A comparative study of lung cancer prediction using deep learning
(Brac University, 2022-09)
At the point when cells in the body develop out of control, this is alluded to as
cancerous development. Lung cancer is the term used to depict cancer that starts
in the lungs. At first in the field, classifier-based ...
Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics
(Brac University, 2022-01)
Bangladesh has been suffering a severe traffic congestion issue ever since it has been
on a high paced development roadmap. Researches regarding solving such traffic
issue has been in the talks but has never reached a ...