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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 ...
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 ...
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. ...
Emotion detection for Bangla language
(Brac University, 2024-01)
This project aims to identify emotions and generate Bangla-language emojis. Emojis
have become essential to digital communication, transcending language borders and
improving textual exchanges. This study identifies ...
Verifying online signatures through an iterative device independent model
(Brac University, 2023-01)
Hand signatures are getting used from as early as we invented writing. In 3100 BC,
we found examples of people using words and symbols to denote their identity. It has
also been used as a method of identification. Modern ...
Real-time foul detection in football matches using machine learning techniques
(Brac University, 2024-01)
As a widely popular sport worldwide, football necessitates precise and consistent
decision-making to uphold fair game-play. It has become essential to automate and
optimize certain aspects of the game for fairness and ...
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 ...
Identifying hate speech of Bangla language text using natural language processing
(Brac University, 2024-01)
In this era of the internet, sharing information through social media has provided
significant benefits to humans. People can easily access and observe others’ lifestyles
and work, as well as make comments or share ...