Browsing by Subject "Classification"
Now showing items 1-20 of 22
-
Automatic waste classification using deep learning and computer vision techniques
(Brac University, 2023-03)Waste management refers to a system that starts with classifying different kinds of waste and gradually managing it from its inception to its final disposal. Labeling waste in a proper manner can ensure the best outcome ... -
Classification of common fetal anatomical planes from ultrasound imaging using dempster shafer theory and deep learning
(Brac University, 2022-09-29)Ultrasound (US) examination is a widely used important instrument to monitor mother and fetus health in a cost-effective and non-invasive way. The acquisition of Ultrasound (US) images to determine vital fetal organs for ... -
Classifying insect pests from image data using deep learning
(Brac University, 2022-01)The fact that insecticidal pests impair significant agricultural productivity has become one of the main challenges in agriculture. There are, nevertheless, several requirements for a high-performing automated system ... -
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 ... -
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)The next level of revolution toward a better world could involve combining human security with machine intelligence. In recent years, stalking in public areas has become a pervasive issue, and women are disproportionately ... -
Deep convolutional GAN-based data augmentation for medical image classification
(Brac University, 2022-01)The field of medical imaging is rapidly growing with the help of machine learning, yet the problem of scarcity in labeled medical imaging still remains. Therefore training a machine learning model for medical image ... -
Deep Learning based Bangla Voice to Braille Character Conversion System
(Brac University, 2022-05)From the very beginning of the 20th century, there has been a significant devel opment in the education system using modern technology. However, this rapid development has very little scope to facilitate the education ... -
Detection and classification of speed limit traffic signs
(© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-10)This paper presents a novel traffic sign recognition system which can aid in the development of Intelligent Speed Adaptation. This system is based on extracting the speed limit sign from the traffic scene by Circular Hough ... -
Detection and prediction of epileptic seizure using different machine learning classifiers
(Brac University, 2022-05-29)Analyzing neural signals produced by neurons in the brain, epilepsy can be diagnosed. An electroencephalogram (EEG) measures brain electrical activity, and studying EEG data in order to detect epileptic seizures in their ... -
A domain and noise adversarial bird tune classification pipeline using deep neural network
(Brac University, 2022-09-29)Birds are an important category of animals that ecologists keep track of utilizing autonomous recording units as a key indication of environmental health. Because of the consequences of climate change and the rising ... -
DWT based transformed domain feature extraction approach for epileptic seizure detection
(Brac University, 2021-09)Epileptic seizure is a neurological disorder that is prevalent in both males and females of all age ranges. Detection of epileptic seizure serves as an important role for epileptic patients as it allows the initiation ... -
An efficient deep learning approach to detect citrus leaves disease
(Brac University, 2023-01)Bangladesh is one of the leading exporters of citrus. The country has been exporting citrus fruits to more than 60 countries annually. The main risk that citrus disease poses to crop yield is through contact with infected ... -
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which are data acquisition, preprocessing and classification. ... -
Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
(Brac University, 2022-09)Federated Learning (FL) is a distributed machine learning approach that can de velop a global or customized model from scattered datasets on edge devices using federated datasets. ‘Federated GAN Based Biomedical Image ... -
Gene classification and pattern analysis using data mining and machine learning techniques
(Brac University, 2021-06)Gene classification and pattern extraction from gene sequence data is essential in understanding different gene sequence features. The field of gene expression data analysis has grown in the past few years from being ... -
Heartbeat sound feature extraction and classification
(Brac University, 2019-12)Heart diseases has ranked top as the cause of death globally. The harsh truth is, in this time it is hard to get proper medical treatment in proper time and still it is costly. Now the only light of hope is coming from ... -
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 ... -
Machine learning based data processing and latency reduction in the internet of things for agriculture
(BRAC University, 2018-12)The Internet of Things is best stated as a network of “things” that have the ability to generate and share information between themselves and interact with the environment according to the percepts from this environment. ... -
Music genre classification with convolutional neural network
(Brac University, 2022-01)Today, Music is one of the effective forms of entertainment. Everyday new Music is being composed, and the quantity of Music is increasing day by day. So, it is essential to classify or categorize Music into different ... -
Performance analysis of machine learning algorithms for Malware classification
(Brac University, 2022-09-29)Malware detection research has been popular over the years as the variations and complexity of malware attacks are increasing daily. Using variously Supervised and Unsupervised machine learning algorithms to detect, ...
