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Now showing items 51-60 of 60
An efficient deep learning approach to detect citrus leaves disease
(Brac University, 2023-01)
Bangladesh is one of the leading exporters of citrus. The country has been exporting
citrus fruits to more than 60 countries annually. The main risk that citrus disease
poses to crop yield is through contact with infected ...
Pneumonia Disease detection using the convolutional neural network
(Brac University, 2023-01)
A bacterial illness called pneumonia causes inflammation in the air passages with one
or even both lungs. The disease can range from mild to life-threatening. Diagnosing
the disease at an earlier stage is crucial for the ...
A smart avatar tutor for mimicking characters of Bangla sign language
(Brac University, 2024-01)
This paper presents an efficient novel approach to developing a smart avatar tutor
for teaching Bangla Sign Language (BSL). The avatar is designed to mimic the
numbers and alphabets used in BSL, providing an interactive ...
Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
(Brac University, 2024-01)
Classifying retinal diseases with a higher accuracy rate is one of the most important
means in the medical field. In the case of image classification, finding a dataset
becomes a significant challenge for such cases. As ...
Real time dynamic facial recognition of subject at motion using angular image
(Brac University, 2024-01)
In the developing world keeping track of violations or implementing a secured environment
has become crucial. In order to address such issues dynamic facial recognition
could be developed in such a way that it can ...
Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
(Brac University, 2021-09)
Transfer learning (TL) has shown its great advantage to solve small-training-sample
issues utilizing information learned from existing large data with deep learning tech-
niques. Transfer learning has been e ectively ...
Classification of potato and corn leaf diseases using deep learning
(Brac University, 2024-06)
One of the major hindrances to sustainable agriculture and an imminent threat to food security is plant
disease. Constantly monitoring a plant’s health and spotting the problems in it is quite painstaking
because it ...
Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection
(Brac University, 2024-01)
In this 21st century, maritime routes are crucial for geographical and financial reasons
in riverine countries which include passenger traveling, cargo vessels, fishing,
etc., and play an equally imperative role in the ...
Single and multi-view 2D image processing for enhanced 3D object reconstruction
(Brac University, 2024-05)
This paper presents an efficient approach for 3D object reconstruction using Single and
multi- view 2D image processing. In real-world scenarios, it also focuses on practical
applications. Our approach is about the ...
Enhancing user experience in prize bond lotteries through intelligent notification systems
(Brac University, 2024-10)
This thesis proposes the design and implementation of a modern, user-friendly system
for checking prize bond results. It aims to revolutionize the process of checking
prize bond results by implementing OCR(Optical Character ...