Search
Now showing items 1-10 of 23
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 ...
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 ...
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 ...
Automatic waste classification using deep learning and computer vision techniques
(Brac University, 2023-03)
Waste management refers to a system that starts with classifying different kinds of
waste and gradually managing it from its inception to its final disposal. Labeling
waste in a proper manner can ensure the best outcome ...
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 ...
Homomorphic encryption on deep learning in accurate prediction of brain tumour
(Brac University, 2023-01)
The brain is the most complicated organ that manages every bodily function as well
including intellect, memory, emotion, taste, motor skills, vision, respiration, temperature,
and appetite. Any type of disease or damage ...
Violent activity detection through surveillance camera using deep learning
(Brac University, 2023-01)
Surveillance camera systems have been implemented in most parts of the world
to combat the rising rate of criminal activities. In the hopes of making public
places safer for everyone, computer vision has also aided in ...
Automated overtaking assistance system: a real-time approach using deep learning techniques
(Brac University, 2023-03)
Road accidents are one of the major causes of fateful deaths in Bangladesh. In most
cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking
the major task is to decide whether the overtaking ...
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)
In the current age of social media, information spreads like wildfire. Unfortunately,
this also means that misinformation or rumors can spread easily. The spread of this
misinformation can have negative consequences for ...
Identifying Bangla deceptive news using machine learning and deep learning algorithms
(Brac University, 2023-05)
Internet-based resources are utilized by the vast majority of individuals today. The
news published on websites and shared on social media platforms are examples of
such resources. Due to the increasing number of content ...