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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 ...
Environmental monitoring with the help of Internet of Things (loT) and machine learning
(Brac University, 2020-04)
In recent day situation, the non-stop increase in air and noise pollution can be an
enormous direful downside for our country. It has become an obligatory to manage
and ttingly monitor true so, the speci ed steps to ...
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 ...
Integration of handcrafted and deep neural features for Melanoma classification
(Brac University, 2021-09)
Deep neural networks (DNNs) are widely utilized to automate medical image in-
terpretation in many forms of cancer diagnosis and to support medical specialists
with fast data processing. Although man-made characteristics ...
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
(Brac University, 2021-05)
The world is changing with the pace of information technology revolution and now
a-days anybody can access to the internet including the children. Since birth These
21st century children are able to access to the di erent ...
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)
Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ...
Emotion detection using EEG signals
(Brac University, 2021-06)
Emotions play a vital role in how people feel, think and act which makes it worthwhile for analyzing human behavior. As the patterns of emotions and their reflections differ from person to person, their study needs to be ...
DWT based transformed domain feature extraction approach for epileptic seizure detection
(Brac University, 2021-09)
Epileptic seizure is a neurological disorder that is prevalent in both males and females
of all age ranges. Detection of epileptic seizure serves as an important role
for epileptic patients as it allows the initiation ...
Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
(Brac University, 2022-05)
Given the growing and massive shock to the hotel industry, the coronavirus (COVID-
19) outbreak has generated an unexpected problem. The hotel industry is currently
facing a big obstacle during the COVID period, where ...
Predicting climate induced floods using machine learning
(Brac University, 2022-01)
Climate change has been causing devastation on the economy of the country and the
world as a whole. The study aims to determine how climate change would impact
the frequency and severity of one of the major natural ...