Browsing by Subject "CNN"
Now showing items 1-16 of 16
-
Bengali hand sign language recognition using convolutional neural networks
(BRAC University, 2019-04)Throughout the world the number of deaf and mute population is rising ever so increasingly. In particular Bangladesh has around 2.6 million individuals who aren't able to communicate with society using spoken language. ... -
Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
(Brac University, 2020-04)Uterine cervical cancer is the second most regular gynecological harm around the world. The appraisal of the degree of sickness is fundamental for arranging ideal treatment. Imaging procedures are progressively utilized ... -
Classi fication of motor imagery tasks based on BCI paradigm
(Brac University, 2019-09)Motor imagery tasks are mental processes by which individual practices a set of actions in their mind without actually performing the physical movements. Research in the motor imagery tasks allow us to acquire critical ... -
A comparative study of deep learning methods for automating road condition characterization
(Brac University, 2020-04)Roads in Bangladesh provide infrastructural facilities to both agricultural as well as industrial sectors of the country. Distressed roads can cause fatal accidents as well as largely decelerate sector progress. This makes ... -
Comparison of different CNN architectures for brain tumor detection using fMRI
(Brac University, 2020-04)Brain is the most vital organ of human body which controls the entire nervous system of human body. In that case, if anything goes wrong inside our brain the entire nervous system gets collapsed. The brain tumors are the ... -
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 ... -
Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
(Brac University, 2020-04)Parkinson’s disease is a neurological condition that is dynamic and steadily influences the movement of the human body. It causes issues within the brain and slowly increments time by time. Tremor is the major side effect ... -
Ejection fraction estimation using deep semantic segmentation neural network on 2D Echocardiography data
(Brac University, 2020-04)Ejection fraction value denotes how much blood is pumped out of the heart to different parts of the body. It is a routine clinical procedure in heart function assessment, where the left ventricle of the heart has to be ... -
Emotion recognition using EEG signal and deep learning approach
(Brac University, 2019-08)Emotion is a mental state, which originates in the brain and is closely related to the nervous system. Emotion can be defined as a feeling expressed through, or detectable by voice intonation, facial expression body ... -
Leaf classification by feature extraction using CNN
(Brac University, 2019-12)Plants are an integral part of our nature. The identification and classification of plant leaves has always been a matter of interest for the botanists as well as the laymen. Classification of plant leaves will enable ... -
Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
(Brac University, 2020-06)Transfer learning techniques in deep learning is nowadays a raising and promising field of research and a tool for Artificial Intelligence with a lot of prospects. Our goal is to predict Glaucoma from fundus images to help ... -
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
(Brac University, 2020-03)Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is highly requisite for the treatment, screening, diagnosis ... -
Soiling type classification and prediction of power loss of a PV panel using CNN
(Brac University, 2020-10)With the rapid advancement of technology, greener and more efficient means for energy sources are always sought after. Harvesting solar energy is an effective way to generate electricity. Unfortunately, PV panel surface ... -
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 ... -
Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
(Brac University, 2020-04)There are many sounds all around us and our brain can easily and clearly identify them. Furthermore, our brain processes the received sound signals continuously and provides us with relevant environmental knowledge. ... -
Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks
(BRAC University, 2019-04)With the advancement of technology, the virtual platform and social media have become an important part of people’s daily life. The social media allows users to communicate, to express their feelings and to discuss on ...
