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Now showing items 1931-1940 of 1998
Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
(Brac University, 2024-01)
Classifying retinal diseases with a higher accuracy rate is one of the most important
means in the medical field. In the case of image classification, finding a dataset
becomes a significant challenge for such cases. As ...
Real-time driving monitoring system on a single-board computer utilizing deep neural networks integrated with MiDAS
(Brac University, 2023-09)
In recent years, road safety has emerged as a critical concern due to the increasing
number of accidents attributed to driver negligence and fatigue. This thesis
addresses this pressing issue by proposing a Real-Time ...
Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
(Brac University, 2024-01)
Schizophrenia is one of the destructive personality disorders where people have unusual
interpretations of reality and are lured to develop harmful actions if not diagnosed
promptly. This study focuses on identifying ...
Deep learning based early Glaucoma detection
(Brac University, 2024-01)
Glaucoma is a severe eye condition that can lead to progressive vision impairment
if left untreated. Diagnosis and monitoring of glaucoma at an initial stage is critical
for effective treatment of the disease. However, ...
Hybrid recommendation system of intelligent captioning using deep learning networks
(Brac University, 2024)
This research introduces a hybrid recommendation system through sentiment analysis
for Bangla long textual sentences. Social media, as a vast source of opinions, can
be harnessed through sentiment analysis using deep ...
Classification of retinal diseases from OCT images using deep learning models
(Brac University, 2024-01)
Retina is an important part of our vision, but it can easily get affected and create
various vision problems like vision loss and others. According to the statistics
provided by The World Health Organization, it is ...
Analyzing students’ concentration in online courses through Webcam
(Brac University, 2024-01)
Online learning is growing in popularity these days. As a result, students typically
contribute millions of course-related responses to discussion forums and exchange
some learning experiences. This study focuses on ...
Leveraging sequential deep learning models for detecting multitude of human action categories
(Brac University, 2023-09)
In today’s world, where science and technology are constantly evolving day by day,
people are drawn to tangible experiences and visual representations. There’s a growing
effort to teach machines about human movements and ...
A study on the efficacy of natural language generation techniques for similar writing personalities
(Brac University, 2024-01)
Over the past two decades, the domain of Natural Language Processing has undergone
a remarkable transformation enabling machines to generate text, summarize
content, paraphrase and analyze sentiment. The captivating idea ...
Carbapenem resistance gene Ppofiling in Klebsiella pneumoniae isolated from clinical and non-clinical (water and vegetables) samples
(Brac University, 2023-12)
Klebsiella pneumoniae is a bacterium that has a rod-like structure and is classified as Gram-negative. It is a member of the Enterobacteriaceae family. This microorganism is recognized for its clinical importance, since ...