Browsing by Subject "Machine Learning"
Now showing items 1-20 of 48
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Analysing Facebook user risk using machine learning algorithm
(Brac University, 2020-04)Now-a-days people exchange their personal information and interact with companions and close relatives in a way which is revolutionized. In any case, the majority of them don’t have the foggiest idea how to utilize, where ... -
Analysis of the impact of online education using EEG signals and machine learning algorithms
(Brac University, 2021-01)Online learning has allowed students from different walks of life to access a vast amount of information, allowing them to gain new skills. However, only having access to that information does not mean that the students ... -
Analysis on dengue severity using machine learning approach
(Brac University, 2021-01)Dengue is a viral disease that spreads in tropical and subtropical regions and is especially prevalent in South-East Asia. To some certain extent, this mosquito-borne disease triggers nationwide epidemics, which results ... -
Approaching transfer learning to identify correctly worn facial masks
(Brac University, 2021-06)Climate change has made the outbreak of diseases, especially airborne and contagious diseases much more extreme. Therefore, wearing masks has become essential in protecting ourselves not only from very common airborne ... -
Automate crime news segmentation, knowledge-based generation and public opinion mining for social awareness
(Brac University, 2021-06)In the context of the crime scenario in Bangladesh, people face enormous crime situations which can be eradicated by applying some technological solution. For this a research work needs to be conducted by news segmentation ... -
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
(Brac University, 2021-05)The world is changing with the pace of information technology revolution and now a-days anybody can access to the internet including the children. Since birth These 21st century children are able to access to the di erent ... -
A classification and prediction based approach for real-time ETP outlet monitoring through E-IoT and remote sensing using machine learning and deep learning
(Brac University, 2021-01)Water is a vital element in our environment but day by day water pollution is increasing in an alarming rate in our country. In Bangladesh’s perspective, industries such as textile and ready-made garments (RMG) contribute ... -
Classification technique for face-spoof detection in artificial neural networks using concepts of machine learning
(Brac University, 2021-06)In biometric technology, face recognition techniques are considered the most signif icant research area. This technology is abundantly used in security services, smart cards, surveillance, social media, and ID verification. ... -
Classification of damaged vegetation areas using convolutional neural network over satellite images
(Brac University, 2021-01)Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ... -
Comparative analysis and implementation of credit risk prediction through distinct machine learning models
(Brac University, 2021-06)Predicting the risk while lending money has always been a challenge for financial institutions. To make such decisions many banks or financial organizations follow different techniques to analyze a set of data. Manual ... -
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 ... -
Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
(Brac University, 2021-01)Retinal disease diagnosis by machine learning can be achieved using Deep Neural Network based predictors. Use of Explainable Artificial Intelligence (XAI) has the potential to explain the black box of those neural network ... -
Data analysis on the Bangladesh share market using Machine-Learning
(Brac University, 2021-06)The stock market plays an important role in the growth of industries by supplying funding. Thousands of Bangladeshis use the stock market as a means of employment. The stock markets in Bangladesh have been declining ... -
A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
(Brac University, 2021-06)Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion line. Therefore, establishing a reliable and ... -
Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
(Brac University, 2020-04)In recent years, mobile Brain Computer Interface (BCI) has gained much popularity in the design of navigation aids. This opens up the platform to build navigation aids based on the level of stress imposed on visually ... -
Detecting online recruitment fraud by using machine learning
(Brac University, 2021-01)Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime region. Companies find it easier to hire people with the help of the internet rather than the old traditional way. But it has greatly ... -
Detection of multiple sclerosis using deep learning
(Brac University, 2021-01)Accurate detection of white matter lesions in 3D Magnetic Resonance Images (MRIs) of patients with Multiple Sclerosis is essential for diagnosis and treatment evaluation of MS. It is strenuous for the optimal treatment of ... -
Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
(Brac University, 2021-06)Machine Learning has gotten attention in the healthcare industry for the competences to ameliorate disease prediction. Machine learning has already been used in the health sector. Diabetes can also trigger the permanent ... -
Environmental monitoring with the help of Internet of Things (loT) and machine learning
(Brac University, 2020-04)In recent day situation, the non-stop increase in air and noise pollution can be an enormous direful downside for our country. It has become an obligatory to manage and ttingly monitor true so, the speci ed steps to ... -
Estimating flood susceptibility of Bangladesh in the future year using machine learning
(Brac University, 2021-06)Being a riverine country with more than 400 rivers, flood is a common phenomenon for Bangladesh. As, the land is less than five meters above sea level, and also due to heavy rainfall during monsoon season, it makes the ...
