Browsing by Subject "CNN"
Now showing items 41-60 of 84
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An efficient approach for binary classification in brain tumor detection using convolutional neural network
(Brac University, 2022-01)Brain tumor detection using Convolutional Neural Network (CNN) models with binary classification has significantly improved the reliability of medical imaging through Deep Learning. The purpose of this research is to ... -
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)One of the world’s most pressing issues right now is the lack of a competent waste management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ... -
An efficient deep learning approach for 3D face detection using multiple angular 2D images
(Brac University, 2022-09-25)3D face reconstruction is a useful computer vision technique for facial recognition. Accuracy decreases drastically while extracting features from 2D and moving images. To overcome this problem, we are proposing ... -
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 ... -
An efficient deep learning approach to predict heart failure from image data using ejection fraction
(Brac University, 2022-09-28)Heart is the core of human body. A normal heart beats almost 1,15,200 times in a day and 80 beats per second to make us live alive. But we often take it granted and do uncertain thinks which stops it to function perfectly. ... -
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 ... -
An enhanced CNN model for classifying skin cancer
(Brac University, 2022-01)Unrepaired deoxyribonucleic acid in skin cells causes skin cancer by generating genetic abnormalities or mutations, rising day by day. Detecting and diagnosing skin cancer in its early stages is expensive and challenging, ... -
Eve-teasing detection from video footage using computer vision and artificial intelligence
(Brac University, 2023-01)We present computer vision approaches combined with machine learning techniques to detect eve-teasing from any video material, which may be used in any situa tion. Eve teasing is a colloquial term for public sexual ... -
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 ... -
A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
(Brac University, 2022-09)Data innovation has moved quickly in recent years, and various unfavorable alter ations have been made to the network medium. Social media platforms like Face book, Twitter, and Instagram are becoming more and more popular ... -
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)In the current age of social media, information spreads like wildfire. Unfortunately, this also means that misinformation or rumors can spread easily. The spread of this misinformation can have negative consequences for ... -
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) ... -
An improved deepfake detection using deep learning
(Brac University, 2022-09-28)With the emergence of Generative Models for creating Deepfake images, and videos of high quality, which are extremely realistic and hard to recognize, several social, and political issues have come to light. DeepFakes ... -
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 ... -
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
(Brac University, 2023-01)In the innovative era, the problem of recognizing undesirable objects and individuals on conveyor belts is addressed by various architectural or algorithmic approaches. Conveyor belts are those by which things go in a ... -
Lung cancer detection and classification using machine learning
(Brac University, 2023-05)Lung cancer is a term known to all nowadays. This disease grows in the lung tissues and starts to spread with time. The cells responsible for air passage are corrupted by it. It can happen because of air pollution. When ... -
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 ... -
Multi-modal emotion recognition for determining employee satisfaction
(Brac University, 2020-04)Emotion Detection has been very popular in the field of research for a couple of years. In the past, emotion recognition has been studied and applied in order to detect the overall emotional state of a person using ...