Search
Now showing items 1-10 of 21
Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
(Brac University, 2018-07)
This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like ...
Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)
Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the
strongest of souls. The disease is often thought of as untreatable and unbearably
painful, with usually, no cure available. Among all the ...
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 ...
Towards solving perception based autonomous driving assistant system
(Brac University, 2021-09)
This thesis scrutinizes the problem of perception in the self-driving car system. Selfdriving
car is the face of the future and the decade’s research focus. Tech giants
like Google, Uber, Tesla, Commai, Intel MobilEye ...
Visual object classification from fMRI data
(Brac University, 2022-01)
Computing devices were once limited in just calculating arithmetic. Whereas, in
modern computing, complex task like object classi cation or recognition has become
so popular that even our smart devices cannot be thought ...
Epileptic seizure prediction using bandpass filtering and convolutional neural network
(Brac University, 2022-01)
Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical
disturbance in the brain. Seizures that last for a long time might result in
memory loss, weariness, photo sensitivity, paralysis, ...
Diabetic retinopathy detection and classification by using deep learning
(Brac University, 2022-01)
Eyes are the most sensitive part of a human being and it is one of the most challenging
tasks for a computer-aided system to classify its diseases. Many visionthreatening
diseases such as, Glaucoma and Diabetic Retinopathy ...
An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
(Brac University, 2022-05)
Optical Coherence Tomography (OCT) is an effective approach for diagnosing retinal
problems that can be used in combination with traditional diagnostic testing
methods. We developed and implemented a deep Convolutional ...
Detection of handwritten text using convolutional neural network
(Brac University, 2019-04)
Machine replication of human functions, like reading, is an ancient dream. However,
over the last five decades, machine reading has grown from a dream to reality. We
have tried to make it more obvious through a hand ...
A deep learning approach for prediction of ADHD using brain structure
(Brac University, 2023-09)
Attention deficit hyperactivity disorder (ADHD) is a complex condition affecting
the brain’s neurodevelopmental processes. Prompt treatment and accurate diagnosis
can alter neural connections and improve symptoms. This ...