Browsing by Subject "CNN"
Now showing items 21-40 of 42
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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 ... -
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)Colon cancer is one the most prominent and daunting life threatening illnesses in the world. Histopathological diagnosis is one of the most important factors in determining cancer type. The current study aims to create ... -
An efficient deep learning approach for detecting Alzheimer’s disease using brain images
(Brac University, 2022-01)Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory. This is a successively growing disease which means the severity of it will be upward with the time. In this century, AD is one of the ... -
An efficient deep learning approach to detect COVID-19 infected lungs using image data
(Brac University, 2022-01)The beginning of 2020 will always be a dreadful chapter in human history. Even with all the recent advancements in the medical sector, the COVID-19 virus proved to be a major challenge for doctors all over the world. The ... -
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 ... -
FoodieCal: a convolutional neural network based food detection and calorie estimation system
(Brac University, 2021-01)According to recent studies across the world, we can see that a healthy diet is the key to having a sound health and body. People nowadays are more concerned with their diets than ever before. With the advancement of ... -
Identifying brain abnormalities using image processing and CNN models
(Brac University, 2021-06)In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ... -
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 ... -
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)The neurodegenerative Alzheimer's Disease is the most widely recognized cause of `Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless, there is still no conclusive test for distinguishing ... -
Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
(Brac University, 2022-01)Due to our unhealthy diets and the consumption of enhanced cholesterol in our daily lives, our health has become vulnerable and at risk of different types of cardiac diseases. The most common of them is Myocardial ... -
Predicting regional accents of Bengali language using deep learning
(Brac University, 2021-09)Accent is a huge challenge in communication for all languages. Different people who speak the same language might pronounce the same word differently. In a conversation, if two people are from different regions and they ... -
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 ... -
Quantum error correction using quantum convolutional neural network
(Brac University, 2021-06)Quantum computing with its powerful attributes - entanglement and superposition, is revolutionizing modern computation. Moreover, quantum computation can be applied to a wide range of real-world applications, including ... -
Research on generative sign language using neural networks
(Brac University, 2021)Sign gesture, which is one type of non-audible specialized strategy is the medium to correspond with individuals having auditory and talking incompetency. There are numerous computerized methods of creating gesture-based ... -
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 ... -
Sound classification using deep learning for hard of hearing and deaf people
(Brac University, 2022-01)Our paper mainly focuses on developing an audio classification for people, who cannot hear properly, using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). One of the many prevalent complaints from ... -
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. ...
