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Efficient image processing and machine learning approach for predicting retinal diseases
(Brac University, 2020-04)
As the computational technology and hadrware system improved over time, the use of neural
network in image processing has become more and more prominent. Soon deep learning also
caught the attention of the medical sector ...
An Analysis on Bengali handwritten conjunct character recognition and prediction
(Brac University, 2021-01)
In the very active field of handwriting recognition, a lot of research can be found in the detection of the handwriting of various languages, especially English. However, for languages like Bengali, while they hold some ...
Preventing national identity forgery in Bangladesh using IGA based security controls
(Brac University, 2022-09-28)
The rapid diffusion of the internet coupled with the vision of ”Digital Bangladesh”
has given rise to e-government services to improve the capability, accountability, and
accessibility of different e-government services ...
Enhancing object clarity in single channel night vision images using deep reinforcement learning
(Brac University, 2021-01)
There are a lot of novel approaches to image processing using Machine learning and classical image processing. But most of them take a huge dataset[like machine learning] or they are slow and inefficient[like plain image ...
Comparative analysis of cloud and fog environment based on network usage and cost of execution using Ifogsim
(BRAC University, 2021-06)
The number of IoT devices around the world is increasing exponentially with the
growth of technology. But the resources we have at hand may prove difficult to
accommodate all of them. To make efficient use of all the ...
Electronic voting system based on blockchain
(Brac University, 2022-09)
The primary goal of this application is to create a voting app which is safe and the result is
unchangeable. By using blockchain technology these goals can be achieved. Data in blockchain
is not stored in only one location ...
Emotion analysis using machine learning model and deep learning model on DEAP dataset
(Brac University, 2021-10)
Emotion has a signi cant in
uence on how you think and interact with others. It
serves as a link between how you feel and the actions you take, or you could say it
in
uences your life decisions on occasion. Since the ...
Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
(Brac University, 2022-01)
Content centric network is a state-of-the-art networking architecture for content
distribution and content caching. However, it is inefficient to cache every content
in each network device. The modern edge computing ...
A decision support system for symptom-based common diseases and image-based skin diseases detection
(Brac University, 2021-05)
Nowadays, it has become di cult to get in touch with a doctor for the current pandemic
situation. Patients need to wait several days to get an appointment from the
doctor and visiting the hospitals in recent times is ...
Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
(Brac University, 2022-09)
Internet-based applications like social media platforms and blogs have exploded in
popularity, and with them have come reviews and commentary on people’s daily
lives. Unfortunately, the vast majority of these evaluations ...