Search
Now showing items 11-20 of 167
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 ...
Weather forecasting using Deep Learning
(Brac University, 2022-09)
Global human life is significantly impacted by weather forecasts. It takes a lot of computing resources
to solve mathematical equations that are based on climatic circumstances. As a result, during the
past ten years, ...
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 ...
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 ...
Bangla number plate recognition from noisy video footage using deep learning
(Brac University, 2021-01)
The automatic number plate recognition of a vehicle from noisy footage has become an important issue in Bangladesh. In Bangladesh, the number of vehicles is increasing at a very high frequency. Moreover, unlike the English ...
Bengali hand sign language recognition using convolutional neural networks
(BRAC University, 2019-04)
Throughout the world the number of deaf and mute population is rising ever so
increasingly. In particular Bangladesh has around 2.6 million individuals who aren't
able to communicate with society using spoken language. ...