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Now showing items 11-20 of 35
Audio recognition using feed forward neural network optimized by principle component analysis
(BRAC University, 4/18/2017)
In our proposed model we have used PCA as dimension reduction technique and neural network for pattern recognition. Our goal was to recognize audios of two vowels spoken by Parkinson’s disease Patient. The vocal of these ...
Spinal Cord Injured (SCI) patients Length of Stay (LOS) prediction based on admission data
(BRAC Univeristy, 2017-08)
In order to take better care and to ensure better facilities to the inpatients, predicting length of stay serves great importance. Since, the resources and the doctors are limited in the hospital especially in a developing ...
Isolated bangla handwritten character & digit recognition using convolutional neural network
(BRAC University, 2017)
This paper proposes a mechanism of Handwritten Letter and Digit Recognition (HLDR) to
decipher images of Bangla handwritten characters into electronically editable format, which
holds an important role in augmenting and ...
A viseme recognition system using lip curvature and neural networks to detect Bangla vowels
(BRAC Univeristy, 2016)
Automatic Speech Recognition plays an important role in human-computer interaction, which can be applied in various vital applications like crime-fighting and helping the hearing-impaired. It consists of two domains – Audio ...
Crowd source based traffic analysis using machine learning algorithm
(BRAC Univeristy, 8/21/2017)
One of the most detrimental effects to our economy currently is most certainly Traffic jam. Be it in a public vehicle or private, valuable work hours (around 3.2 million per day) is wasted everyday while waiting in the ...
Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
(Brac University, 2021-10)
With the introduction of blockchain technology in recent years, there has been a mas sive increase in the use of Cryptocurrencies. In any event, due of the market’s un predictable behavior and excessive cost volatility, ...
Analysis of uncertainty in different neural network structures using monte carlo dropout
(Brac University, 2023-01)
Deep learning technologies developed at an exponential rate throughout the years.
Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Net works (INNs), there are several neural network (NN) architectures ...
Extracting information from social media platform for early detection of depression among individuals
(Brac University, 2023-05)
In our world, 3.8% of the total population is suffering from depression and it is the
fourth major cause of death in 15-29 year olds. It is estimated that more than 75%
of people suffering from it in low and middle income ...
Plant leaf disease identification
(Brac University, 2023-01)
Agriculture has consistently been an essential component of our day-to-day life over
the centuries. Because of its contribution to our country’s revenue, the importance
of agriculture has been steadily growing over the ...
Bangla license plate recognition using convolutional neural networks (CNN)
(BRAC University, 12/24/2017)
In the last few years, the deep learning technique in particular Convolutional Neural
Networks (CNNs) are using massively in the field of computer vision and machine
learning. This deep learning technique provides ...