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Now showing items 11-20 of 35
A machine learning approach to detect depression and anxiety using supervised learning
(BRAC University, 2019-04)
Depression, a major depressive disorder and anxiety are common medical illness
which cause several symptoms that a ect the way a person feels, thinks, and the
way he/she acts. These disorders are not only hard to endure, ...
Modelling and forecasting energy demand of Bangladesh using AI based algorithms
(Brac University, 2019-04)
Bangladesh being one of the ve fastest growing economies in the world with its
enormous 164.7 million population is facing a huge challenge of adapting to the
surging demand of electricity rising throughout the country ...
Breast cancer prediction using different machine learning models
(Brac University, 2019-08)
Breast cancer is often the most lethal diseases with a large mortality rate especially among women. Despite the severe effect of the disease, it is possible to pinpoint the genre of breast cancer using diff t machine ...
Early detection of chronic kidney disease using machine learning
(Brac University, 2019-09)
Chronic kidney disease (CKD) is a global prevalent ailment that causes lives in a predominant
number. CKD is the 11th most deadly cause of global mortality with 1.2 million death each year
and according to kidney Foundation ...
Detection of alzheimer's disease using deep learning
(Brac University, 2019-12)
Machine Learning has been on top of its form over the last few years. It covers a vast
area of predictive web browsing, email and text classification, object detection, face
recognition etc. Among all of the other ...
Investigation assistant with suspect anticipating intelligence
(Brac University, 2019-08)
Truly settling crimes have been the privilege of the criminal justice and law enforcement specialists. With the expansion of the utilization of the computerized system to track violations and follow culprits, computer ...
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
(BRAC University, 2019-04)
Machine Learning is boosting up the advancement in the eld of Arti cial Intelligence
these days. However, almost every machine learning algorithm contains an
optimization problem to solve. Inspired by quantum mechanics, ...
Detection of amyotrophic lateral sclerosis using signal processing and machine learning
(Brac University, 2019-04)
Electromyography(EMG) signals provide signi cant information for the diagnosis of
neuromuscular disorders like Amyotrophic Lateral Sclerosis(ALS) which is a form of
Motor Neuron Disease(MND). Due to the stochastic nature ...
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 ...