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Now showing items 21-30 of 35
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)
One of the world’s most pressing issues right now is the lack of a competent waste
management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ...
A supervised machine learning approach to predict vulnerability to drug addiction
(Brac University, 2019-08)
There are signi cant amount of di erences between an addicted and non-addicted
person on their social and familial behavior. In our thesis we tried to nd out
the characteristics of a person related to his social and ...
Brain tumor detection through image processing
(Brac University, 2021-01)
Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...
Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
(Brac University, 2022-05)
Throughout time, there has been a surge of hostile activities in public places across
the globe. With the advancement in technology, it has been possible to monitor
public places through real time surveillance. Video ...
Decipherable classification of glaucoma using deep neural network leveraging XAI
(Brac University, 2022-01-18)
Glaucoma is the second driving reason for partial or complete blindness among all the visual deficiencies which mainly occurs because of excessive pressure in the eye due to anxiety or depression which damages the optic ...
Real-time obscene scene nudity detection and blurring in a video clip
(Brac University, 2022-09-22)
Videos are widely consumed by people of all ages as a form of entertainment, information and education. However, not all videos are made for everyone. Many videos contain obscenities such as nudity, violence, blood, and ...
Drone detection by neural network using SURF feature and GLCM method
(BRAC University, 2018-04)
This presents a drone detection method using image processing. In the proposed model, a hybrid feature extraction method using SURF and GLCM is utilized. As a machine learning tool, we use a neural network for pattern ...
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
(Brac University, 2023-01)
In the innovative era, the problem of recognizing undesirable objects and individuals
on conveyor belts is addressed by various architectural or algorithmic approaches.
Conveyor belts are those by which things go in a ...
Identification of childhood leukemia using deep learning
(BRAC University, 2017)
Although cancer in children is rare, it is the leading cause of death past infancy amongst
children. According to Afshar, Abdolrahmani, Tanha, Seif, Taheri(2010), Leukemia or blood
cancer is one of the most common cancers ...
Exploring deep features: deeper fully convolutional neural network for image segmentation
(BRAC University, 4/19/2017)
Classification of images has been a widely regarded challenge for the past decade, but a new type of object recognition problem which deals with pixellevel segmentation is posing a more complex task for both computer vision ...