Browsing by Subject "Computer algorithms"
Now showing items 1-20 of 21
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An approach to detect epileptic seizure using XAI and machine learning
(Brac University, 2022-05)One of the most common neurological disorder in health sector is Epileptic Seizure (ES) which is occurred by sudden repeated seizures. Hitherto more than 50 million people in the whole world are suffering from Epileptic ... -
Classi cation of magnetic configurations using machine learning algorithms
(Brac University, 2019-08)Machine learning is used to carry out e cient studies and analyses in the eld of condensed matter physics. We propose comprehensive machine learning approaches that would classify between magnetic structures. We propose ... -
Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
(Brac University, 2018-12)The world of Machine Learning is expanding everyday through its implementations in modern day healthcare. Researchers have sketched out many ways to implement Machine Learning algorithms and droned into ways to make them ... -
A comparative analysis on solving university departmental course allocation problem using AI optimization algorithms
(Brac University, 2021-01)This paper discusses about various types of constraints, regulations, difficulties and solutions to overcome the challenges regarding university departmental course allocation problem. A CSP solver algorithm, Genetic ... -
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 ... -
A federated learning approach for detecting Parkinson’s disease through privacy preserving by blockchain
(Brac University, 2022-05)Parkinson’s disease is a degenerative ailment caused by the loss of nerve cells in the brain region known as the Substantia Nigra, which governs movement. These nerve cells die or deteriorate, rendering them unable to ... -
Handwritten character recognition and prediction of age, gender and handedness using machine learning
(BRAC University, 2018)Handwritten character recognition and prediction of age, gender & handedness from handwritten documents offers an interesting research problem for researchers as few research carried out on this field. The aim of this ... -
A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm
(Brac University, 2022-01)Patients are considered to be one of the most vulnerable persons. When it comes to critical patients their movements and behaviors need to be monitored constantly as simple negligences could result in severe consequences. ... -
Identifying Bangla deceptive news using machine learning and deep learning algorithms
(Brac University, 2023-05)Internet-based resources are utilized by the vast majority of individuals today. The news published on websites and shared on social media platforms are examples of such resources. Due to the increasing number of content ... -
In quest of an improved algorithm for transforming plane triangulations by simultaneous flips
(Brac University, 2022-05)In this thesis we have studied the problem of transforming one plane triangulation into another by simultaneous flips of diagonals. A triangulation is a simple planar graph consisting of only 3-cycle (triangles) faces ... -
License plate recognition
(Brac University, 2023-05)In today’s ever-growing technological society, Automatic License plate Recognition, ALPR, has many implications for solving traffic-related applications and transporta- tion planning. Identifying cars in pursuit or stolen ... -
Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
(Brac University, 2022-05)This research work aims to show a comparative analysis among four different deep learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ... -
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, ... -
Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
(Brac University, 2021-10)Every single day a large number of patients go to the hospital. But the fact is, facilities available in hospitals are not su cient in comparison with the number of patients. The idea of this paper is to o er a prediction ... -
Prediction of coronary heart diseases using supervised machine learning algorithms
(Brac University, 2022-05)Cardiovascular disease is a leading cause of death worldwide. According to the Centers for Disease Control and Prevention, one person dies from heart disease every 36 seconds in the United States. In 2019, an estimated ... -
Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
(Brac University, 2023-05)Sickle Cell Disease is a monogenic genetic disorder which often leads to various repercussions affecting multiple vital organs simultaneously. However, the treat- ment for Sickle Cell is diverse and often varies from ... -
Predictive maintenance of HVAC system using supervised machine learning algorithms
(Brac University, 2021-09)Technological advancements, especially rich data, being incorporated into the development of buildings is simultaneously elevating the importance of fault detection and diagnostics (FDD) of energy-e cient applications ... -
Share market forecasting with LSTM neural network and sentimental trend prediction
(Brac University, 2019-09)Forecasting and predicting future trend is getting signi cant importance in stock market exponently as it is volatile in nature. Stock market is an extremely complicated , unstable and volatile place due to the fact that ... -
Simulating the transformation of plane triangulation using edge flip algorithms
(Brac University, 2021)In Computational Geometry edge flipping of triangulation is a well-studied topic . Also in computer graphics, triangulations are used to form any kind of shape of an object. Although many algorithms have been introduced ... -
Skin lesion classification using different CNN models
(Brac University, 2023-05)The field of dermatoscopic image classification has gained significant attention as there is a growing demand for early diagnosis of specific diseases. The use of deep learning is increasingly significant in the quest ...
