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Now showing items 121-130 of 135
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 ...
Mitigation of hallucination and interpretations of self attention of Mistral 7B AI to analyze and visualize context understanding ability of large language models
(Brac University, 2024-01)
In recent years, Large Language Models(LLM) have shown excellent performance in
a variety of Natural Language Processing tasks. However, they often produce hallucinated
content. Contents that are seemingly correct and ...
Sentiment classification on Bengali food and restaurant reviews
(Brac University, 2024-01)
Sentiment analysis, a critical facet of Natural Language Processing (NLP), plays a
pivotal role in decoding human emotions conveyed through text. Despite extensive
research in sentiment analysis for widely spoken languages, ...
Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
(Brac University, 2024-01)
As viruses undergo rapid evolution, the SARS-CoV-2 which is known as Covid-
19 has persisted in human populations for approximately three and a half years
rapidly, continually exhibiting swift and unpredictable mutations. ...
An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
(Brac University, 2024-01)
Early detection of retinal diseases can help people avoid going completely or partially
blind. In this research, we will be implementing an interpretable diagnosis
of retinal diseases using a hybrid model containing ...
Silent voice: harnessing deep learning for lip-reading in Bangla
(Brac University, 2024-01)
Understanding speech just through lip movement is known as lipreading. It is a
crucial component of interpersonal interactions. The majority of the previous initiatives
attempted to address the English lipreading issue. ...
Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports
(Brac University, 2024-01)
In this project, we delve deeper into the complex area of predicting a potential replacement
of a footballer of a specific position. For that, we used multiple machine
learning models on the Sofifa dataset. Our analysis ...
Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
(Brac University, 2024-01)
This work aims to analyze the potential of deep neural models for text-based entailment
in Bangla Language. Entailment is the method of determining whether one
text infers or goes against another text. The study concentrates ...
Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
(Brac University, 2024-01)
Traumatic Meningeal Enhancement (TME) is a critical medical condition characterized
by abnormal enhancement of the meninges following trauma, often observed
in medical imaging studies. Traumatic meningeal injuries result ...