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Now showing items 21-30 of 36
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 ...
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 ...
Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
(Brac University, 2019-12)
This study shows importance hierarchy of financial factors of corporations’ Goodwill
and tries to foresee with popular machine learning and deep learning models. Financial engineering is using mathematical model to study ...
Performance analysis of machine learning classi ers for detecting PE malware
(Brac University, 2019-12)
In this modern era of technology, securing and protecting one's data has been a
major concern and needs to be focused on. Malware is a program that is designed
to cause harm and malware analysis is one of the paramount ...
Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
(Brac University, 2019-09)
A credit score is a numerical expression based on a level analysis of a person's credit
files, to represent the creditworthiness of an individual. The credit score plays a
major role in banks, financial institutions ...
A supervised machine learning approach to predict vulnerability to drug addiction
(Brac University, 2019-08)
There are signi cant amount of di erences between an addicted and non-addicted
person on their social and familial behavior. In our thesis we tried to nd out
the characteristics of a person related to his social and ...
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
(Brac University, 2019-04)
Bangladesh being one of the most heavily populated country in the world, the traffic condition is worsening every year due to the increase of vehicle activities through- out the entire nation. Research claims that an average ...
Fault detection in waste water treatment plant using statistical analysis & machine learning
(Brac University, 2019-12)
A suitable model needs to be developed for detecting fault of wastewater treatment plant in order to monitor, predict plant performance and for reducing environment pollutions. Main objective of this study is to introduce ...
N.P.K. based crop suggesting model
(Brac University, 2019-12)
Bangladesh is a country having an area of 1, 47,570 square kilometers in which
roughly 70.63 percent is agricultural lands [1]. As an agricultural country we are
mostly dependent on soil. There are 3 most important ...