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Comparative study of toxic comments classification using machine learning algorithms
(Brac University, 2021-01)
The rapid growth of information technology and the disruptive transformation of
social media have happened in recent years. Websites like Facebook, Twitter, Instagram, where people can express their thoughts or feelings ...
Research on generative sign language using neural networks
(Brac University, 2021)
Sign gesture, which is one type of non-audible specialized strategy is the medium
to correspond with individuals having auditory and talking incompetency. There
are numerous computerized methods of creating gesture-based ...
Content based image search in openstack swift
(Brac University, 2021-09)
The OpenStack Object Store, also known as Swift, is a cloud storage software. Swift
is optimized for durability, availability; also concurrency across the entire data set.
However, Swift does not have a proper technique ...
Detecting online recruitment fraud by using machine learning
(Brac University, 2021-01)
Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime
region. Companies find it easier to hire people with the help of the internet rather
than the old traditional way. But it has greatly ...
Character animation using reinforcement learning and imitation learning algorithms
(2021-06)
Real-time character animation for gaming and film industries is challenging and
achieving production-ready quality is the hardest part. Managing time and resources also plays a vital role here. Animation through marker-based ...
Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
(Brac University, 2021-12)
Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography
(CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to
diagnose a variety of disorders, including brain disease, whole-body ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
An IoT based smart stick for blind and visually impaired person
(Brac University, 2021-09)
Vision loss has a devastating effect on the lives of those who experience it. It affects
as well as on their family, friends and society. Completely loosing or deterioration of
eyesight is frightening and unbearable which ...
Performance analysis of intrusion detection systems using the PyCaret machine learning library on the UNSW-NB15 dataset
(Brac University, 2021-06)
As one of the fastest growing technologies on earth, the Internet of Things (IoT)
is being embraced almost everywhere. From smart home technology to industrial
automation, IoT is revolutionizing almost everything around ...
Utilization of machine learning classifiers to predict different forms of mental illness: schizophrenia, PTSD, bipolar disorder and depression
(Brac University, 2021-06)
The most alarming, yet abstained issue of our so-called ‘Generation Z’ is mental
health. While there are seminars, psychotherapy and awareness procedures initi ated to tackle this issue in many developed countries, it is ...