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Dynamic image analysis for abnormal behavior detection
(BRAC University, 4/18/2017)
Our world is now in such developing state where security is more of a concern rather than privacy for an individual. Nowadays, abnormal behavior detection system plays a very important role in various sectors such as, ...
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 ...
Visual object recognition using deep convolutional neural network
(BRAC University, 2017)
Visual object recognition has been lying at the convergence point between machine
learning, computer vision and AI since the very beginning. From robotics to
information retrieval, many desired applications demand 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 ...
Classification of peripheral blood cell images using deep learning
(Brac University, 2023-01)
Diagnosis and Identification of cells and disease infected cells are and important
part of in medical science that bears huge significance even today. There are health
implications can often be identified my observing ...
Best feature selection and data visualization for breast cancer prediction
(Brac University, 2019-09)
Breast cancer (BC) is one of the most common cancers among women worldwide,
representing the majority of new cancer cases and cancer-related deaths according
to global statistics, making it a signifcant public health ...
Early detection of diabetic retinopathy using deep learning techniques
(Brac University, 2021-10)
We, humans, are the bearer of diseases. While most of them have a thoroughly
researched and contemplated solution set, some of them do not. Diabetes is one of
those common diseases that do not have a clear solution but ...
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 ...
Crime scene prediction by detecting threatening objects using convolutional neural network
(BRAC University, 4/13/2017)
Crime scene prediction without human intervention can have outstanding impact on computer vision. In this paper, we present CNN in the use of detect knife, blood and gun in order to reach a prediction whether a crime has ...