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Now showing items 91-100 of 310
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 ...
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)
In the current age of social media, information spreads like wildfire. Unfortunately,
this also means that misinformation or rumors can spread easily. The spread of this
misinformation can have negative consequences for ...
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 ...
Identifying Bangla deceptive news using machine learning and deep learning algorithms
(Brac University, 2023-05)
Internet-based resources are utilized by the vast majority of individuals today. The
news published on websites and shared on social media platforms are examples of
such resources. Due to the increasing number of content ...
Prediction of coronary heart diseases using supervised machine learning algorithms
(Brac University, 2022-05)
Cardiovascular disease is a leading cause of death worldwide. According to the Centers
for Disease Control and Prevention, one person dies from heart disease every 36
seconds in the United States. In 2019, an estimated ...
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 ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
A novel approach to forecast traffic congestion using CMTF and machine learning
(BRAC University, 2018-04)
Traffic congestion severely affects many cities around the world causing various problems
like fuel wastage, increased stress levels, delayed deliveries and monetary losses. Therefore, it is
urgent to make an accurate ...
Personnel security system of nuclear power plants using machine learning for psychological, behavioral and social media activity analysis.
(Brac University, 2018-12)
In this research, a novel Personnel Security Model is designed and demonstrated for detecting
suspicious people in an organization especially for nuclear power plants. The proposed system
composed of three subsystems and ...
A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
(Brac University, 2023-01)
For the technological shift, advancing epoch towards cryptocurrency intensified the
impactful method. Metaverse can originate the base operation into a diversified level.
The extension of digital marketing contributes ...