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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 ...
Federated ensemble-learning for transport mode detection in vehicular edge network
(Brac University, 2023-01)
Transport Mode detection has become a crucial part of Intelligent Transportation
Systems (ITS) and Traffic Management Systems due to the recent advancements in
Artificial Intelligent (AI) and the Internet of Things (IoT). ...
Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
(Brac University, 2023-01)
Deep learning technologies developed at an exponential rate throughout the years.
Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Networks
(INNs), there are several neural network (NN) architectures ...
Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network
(Brac University, 2023-01)
Although smartphones have already become the de facto tool for environmental
health research for their ubiquity and portability, utilizing them in finding location specific aggregated air quality index based on PM2.5 ...
Blockchain-based traffic surveillance footage authenticity detection system
(Brac University, 2023-01)
With the advancement in technology, fraudulent videos are becoming harder to de tect and easier to produce. Surveillance footage can serve as circumstantial evidence
when dealing with crimes, however when this footage is ...
Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
(Brac University, 2023-01)
Massive open online course (MOOC) has been around for a while, but started to
gain traction since 2012 when Coursera was established. MOOCs use pre-recorded
lectures and scheduled weekly tests to provide content and ...
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 ...
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 ...
Tomato leaf disease detection using convolutional neural network
(Brac University, 2023-01)
The fertile soil and easy access to water make agriculture more suitable and valu able for Bangladesh. Most people are directly or indirectly dependent on agricultural
products for their livelihood. Agriculture plays an ...