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Now showing items 11-20 of 21
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
(Brac University, 2023-01)
Neurodegenerative disorders are diagnosed through undergoing brain MRI, CT scans, genetic testing, and various laboratory screening tests which are often tedious, time consuming and beyond the means of most people’s financial ...
Detection of Deepfake using computer vision and deep learning
(Brac University, 2023-05)
In this era of Metaverse and technological advancement, Deepfakes are one of the
most alarming concepts. Deepfakes are mostly synthetically-generated manipulated
photos or videos which is created swapping a face of a ...
An advanced hospital rating system using machine learning and natural language processing
(Brac University, 2023-05)
Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately,
there is no reliable metric or resource available online to determine which hospital
is better. Patients and their peers often find it ...
Automated image caption generator in Bangla using multimodal learning
(Brac University, 2023-01)
Experiencing an image on-screen is a privilege that we often seem not to care about.
A visually impaired person does not have that luxury. A system that can automatically
produce closed captions of an image can thus help ...
A secured federated learning system leveraging confidence score to identify retinal disease
(Brac University, 2023-05)
Federated learning is a distributed machine learning paradigm that enables multiple
clients to collaboratively train a global model without sharing their local data. How-
ever, federated learning is vulnerable to adversarial ...
LRFS: online shoppers’ behavior based efficient customer segmentation model
(Brac University, 2023-02)
The popularity of online shopping has grown significantly across the globe in recent
years. This research proposes a customer segmentation model LRFS, an extended
version of LRF model, built specifically for online ...
Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
(Brac University, 2023-05)
The utilization and exploration of deep-sea resources has made underwater autonomous operation increasingly important to mitigate the dangers of the highpressure deep-sea environment. Intelligent computer vision plays a ...
Real-time crime detection using convolutional LSTM and YOLOv7
(Brac University, 2023-05)
The principal goal of this study is to create a crime detection system in real-time that
can effectively handle closed-circuit television (CCTV) video feeds and evaluate them
for possible criminal occurrences. The system’s ...
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)
Skin diseases represent a significant global health concern, and prompt and pre-
cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks
(CNNs), in particular, have shown tremendous promise in ...
Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
(Brac University, 2023-09)
This thesis presents a novel approach for the automatic detection, categorization, and sub-categorization of violent and nonviolent behaviors in video footage. This research addresses the growing necessity for enhanced ...