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Now showing items 41-50 of 107
Semantic text extraction from CAPTCHA using Neural Networking
(Brac University, 2022-05)
CAPTCHA stands for Completely Automated Public Turing Test to distinguish
Computers and Humans Apart. CAPTCHA is used for a variety of reasons, includ ing internet security. There are various CAPTCHA methods available ...
Prostate cancer detection using deep learning neural network with transfer learning approach
(Brac University, 2021-10)
Prostate cancer is a ubiquitous form of cancer detected among men all over the
world. It is currently the second leading cause of cancer death worldwide among
men. Research shows that about 11% of men worldwide are ...
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 ...
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
(Brac University, 2021-01)
Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores,
robots, infrastructure and surveillance monitoring programs ...
Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
(Brac University, 2022-01)
Anomalous and violent action detection has become an increasingly relevant topic
and active research domain of computer vision and video processing, within the past
few years. It has many proposed solutions by the ...
Predicting brain age from EEG signals using machine learning and neural network
(Brac University, 2022-05)
The objective of this study was to develop a technique for calculating the ages of people’s
brains by analyzing EEG data signals and using machine learning algorithms
on a Raspberry Pi. We employed many machine learning ...
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 ...
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)
Color vision approach using auto encoded technique is an effective way to detect
objects. This approach considers various factors like movement detection, size and
shape detection, color detection etc. Here we have ...
Brain hemorrhage detection using hybrid machine learning algorithm
(Brac University, 2022-01)
Machine learning (ML) helps computers learn and program data without humans’
help. According to data scientists, machine learning can extract 60% high-quality
information, reduce the cost up to 46%, and increase operation ...
Autism detection based on MRI images using Deep Learning
(Brac University, 2023-01)
Autism spectrum disorder (ASD) is a neuro dysfunction or neurodevelopmental
disorder. This causes a patient to have trouble with social interaction which causes
social instability. It also causes speech problems or ...