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Deep 3D convolutional neural network in early detection of Lung cancer
(BRAC University, 7/22/2018)
Early detection of lung cancer is essential for the survival of patients. Lung Cancer remains the deadliest cancer in the world. Lung cancer diagnosis is still a time consuming and long awaiting process. The oncologist is ...
Smart city security solution
(BRAC University, 2018-04)
Security issue is one of the very leading concerns for any organization, society or
for a city. There are two main challenges for smart cities which are security and
privacy. Security includes illegal access of people ...
Development of a cost effective medium for enhanced production of Bacillus thuringiensis δ-endotoxin
(BRAC University, 2014-10)
The control of pest populations by using bacteria as insect pathogens has been an attractive
alternative to the application of chemical pesticides. As chemicals cause damage to the
environment, biological control is ...
EEG signals analysis for motor imagery brain computer interface
(Brac University, 2019-08)
A brain{computer interface is a medium for communication which converts neuronal
signals into commands towards controlling external system. This thesis presented
the process of classifying three motor imagery tasks using ...
Prevalence of Zika virus infection in patients with Guillain-Barre syndrome in Bangladesh
(Brac University, 2019-10)
Guillain–Barre syndrome (GBS) is an autoimmune disease where the immune system of the body attacks the peripheral nervous system causing demyelination of the axon. This is the leading cause of acute flaccid paralysis (AFP) ...
Using machine learning on a diverse class of problems : from rainfall to criminal actions
(BRAC University, 2015-12)
We intend to compare and analyze certain machine learning algorithms by taking two
different datasets tackling separate real world issues. The first one relates to agriculture.
Bangladesh, being an agrarian country, is ...
Alumni opportunities using machine learning
(BRAC University, 2018-12)
Improved optimum dynamic time slicing CPU scheduling algorithm based on round robin approach
(BARC University, 4/12/2017)
CPU. In this paper, the static use of dynamic time quantum as CPU Time Slice is reviewed and a
new algorithm for CPU scheduling named Improved Optimum Dynamic Time Slicing Round
Robin Algorithm (IODTSRR) is proposed for ...
Detection of fake identities on twitter using supervised machine learning
(BRAC University, 2019-05)
Social media has changed the way people get their news. Once people used to
buy newspapers to get their news but now everything is online. It has changed
the dimension of how we receive news altogether. With a growing e ...
Speech emotion detection using supervised, unsupervised and feature selection algorithms
(BRAC University, 2019-04)
A tremendous research is being done on Speech Emotion Recognition (SER) in the
recent years with its main motto to improve human machine interaction. In this
thesis work,we have introduced a scheme for emotion recognition ...