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Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
(Brac University, 2021)
Image segmentation is a fundamental section of the current healthcare system to segment and
detect diseases such as disease of the lung (pneumothorax), cancer, diabetic retinopathy, dengue,
malaria, heart disease, ...
Water quality monitoring using machine learning and Internet Of Things (IoT)
(Brac University, 2021-04)
In this project, we built and developed an IoT based system that can monitor the water quality of various places in real-time and provides future predictions regarding the water quality in each place. For this project, we ...
IoT based automated entry system with integration of Covid-19 symptom detection
(Brac University, 2022-01)
COVID-19 has stopped the normal life since December 2019. We still cannot go out without
worrying about getting infected by this deadly virus. Although offices and other work places have
started to open, they have to ...
Short term forecasting of photovoltaic module using machine learning
(Brac University, 2021-10)
The objective of this study is to analysis and observe the performance of the photovoltaic (PV) modules in different environmental conditions by applying machine learning algorithm . There were two PV Modules , one is ...
A comparative study of listen before talk categories using machine learning
(Brac University, 2023-04)
The cellular industry is seeking solutions to efficiently utilize the available spectrum
band due to the rapid growth of wireless traffic and technological advancements.
One potential solution that has gained attention ...
Infrared thermography based defect analysis of photovoltaic modules using machine learning
(Brac University, 2020-10)
Solar photovoltaic (PV) has gained much attention throughout the world for clean energy production. Faults in the PV modules cause the reduction of the amount of the electricity gain from the PV systems. Detecting faults ...
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
(Brac University, 2021-09)
Agriculture has been the driving force of the Bangladesh economy. In the agricultural sector,
farmers are largely incapable of using scientific technology to maximize crop yield and identify
which crops can be grown in ...
Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning
(Brac University, 2020-09)
Bangladesh is predominately an agriculture-based country, which faces uncertain crop yields and inefficient farming infrastructure resulting in adverse effect in food security. Habiganj is selected as the study area because ...
Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
(BRAC University, 2018-12)
There has been significant development in the recent Education System with the rapid development of
technology however there are very few facilities that can help those people with disabilities such people
without sight. ...
Outdoor performance analysis and prediction of photovoltaic modules using machine learning algorithm
(Brac University, 2020-06)
The objective of this study is to inspect the performance of the photovoltaic (PV) modules in different environmental conditions and to apply a machine learning algorithm for prediction analysis. Photovoltaic modules are ...