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Now showing items 31-40 of 84
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 ...
Chronic kidney disease detection using ensemble classi ers and feature set reduction
(BRAC University, 2019)
Chronic kidney disease (CKD) is the gradual loss of kidney function over a duration of
months or years. One in ten people are affected by it at some stage. Some ethnicities such as
African Americans and South Asians are ...
Learning a deep neural network for predicting phishing website
(Brac University, 2019-05)
In recent years, we have seen a huge paradigm shift in business because of the
fast development of the Web. For this reason, consumers change their tendency
from customary shopping to the electronic business. In the time ...
Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
(BRAC University, 2018-07)
Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ...
A machine learning approach to credit default prediction and Individual credit scoring
(BRAC University, 2018)
In our country the credit scoring system is not in practice yet so as for our undergrad thesis, we have taken upon the challenge of delivering a model well equipped with machine learning techniques to predict loan defaults. ...
Using deep learning algorithms to detect violent activities
(BRAC University, 2019-05)
It is of extensive importance to develop a technique for automatic surveillance video
analysis to recognize the presence of violence. In this work, to identify violent videos,
we put forward a deep neural network. For ...
Analyzing CV/resume using natural language processing and machine learning
(BRAC University, 2017)
This paper proposes a model of extracting important information from the semi-structured text format in a curriculum vitae or resume and ranking it according to the preference of the associated company and requirements. ...
Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
(Brac University, 2019-12)
Parkinson's Disease is a progressive nervous system brain disorder which affects
motor neuron loss control and movement coordination. Parkinson's symptoms are
shown gradually and get worse over time. Its signs and symptoms ...
Exploring cognitive load and emotional states for the visually impaired
(Brac University, 2019-04)
Cognitive load and emotional states may impact for designing an assistive navigation
aid for the Visually Impaired Peoples (VIPs). In this study, electroencephalogram
(EEG) signals were captured from participants with ...
An effective machine learning approach for sentiment analysis of restaurant reviews
(BARC University, 2016-08)
Sentiment analysis or opinion analysis is creating a vast area of research in this modern era of social media. Various blogs and Social Medias (Facebook, twitter, Instagram) are the most popular platform for the users or ...