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Now showing items 11-20 of 152
A domain and noise adversarial bird tune classification pipeline using deep neural network
(Brac University, 2022-09-29)
Birds are an important category of animals that ecologists keep track of utilizing
autonomous recording units as a key indication of environmental health. Because
of the consequences of climate change and the rising ...
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)
The next level of revolution toward a better world could involve combining human
security with machine intelligence. In recent years, stalking in public areas has
become a pervasive issue, and women are disproportionately ...
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)
We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which
are data acquisition, preprocessing and classification. ...
Covid-19 infected lung detection using machine learning
(Brac University, 2021-01)
In every 100 years, there has been a pandemic all around the world. The globe faced
Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively.
Coronavirus, commonly known as Covid-19, is currently ...
Biometric retina identification using artificial approach
(Brac University, 2022-05)
In this paper, we considered recognizing 2D retina pictures with a Convolutional
Neural Network (CNN) for greater accuracy since retina-based identification is the
most secure way of establishing identity and identifying ...
KDANet: optical recognition for Bangla language using deep neural networks
(Brac University, 2022-05)
When images of printed or handwritten are converted; be it mechanically or electronically to an
editable text format, this is called optical character recognition. Bangla is one of the most complex
languages as it has ...
Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
(Brac University, 2018-07)
This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like ...
Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
(Brac University, 2022-05)
One of the most devastating cancers in the world is lung cancer. It is estimated
that nearly a third of the world’s cancer fatalities are due to lung cancer. Diagnosis
and treatment of primary and metastatic cancers ...
An interpretable deep learning approach to detect Alzheimer using MRI images
(Brac University, 2023-01)
Alzheimer’s disease (AD) is a serious neurological condition that causes loss of long term memory, cognitive difficulties, disorientation, inconsistent behavior, and even tually death. Also, AD is caused by the destruction ...
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 ...