Browsing School of Data and Sciences (SDS) by Subject "Machine Learning"
Now showing items 21-40 of 66
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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 ... -
Deep Learning based Medicinal Plants Leaf Recognition
(Brac University, 2022-09)Plants assume a significant part in Earth’s nature by giving food, cover and keeping a solid environment.These plants contain some significant therapeutic qualities. Due to having fewer negative side effects and being ... -
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 ... -
Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
(Brac University, 2022-05)Uprising a child is a psychological construct of parents, which is a combination of factors that evolves over time with the growth and development of the child. Parent ing style represents a set of strategies that have ... -
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 ... -
Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
(Brac University, 2022-09)Recently, researchers have focused on understanding human sentiment using mechanical devices or reactions to any machinery activity. Computerization is becoming more prevalent in today’s environment. People are unaware of ... -
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 ... -
Examining lexical and grammatical difficulties in Bengali language using NLP with machine learning
(Brac University, 2021-01)Speech is the most relevant form of communication between individuals whereas computer systems use basic form of text or images Speech synthesis deals with the artificial production of speech, and a Speech-to-Text (STT) ... -
Fake profile detection in social media using image processing and machine learning
(Brac University, 2021-06)Almost everybody has a social media presence in today’s technologically advanced world. As a result, making fake accounts is very easy. The term ”fake profile” refers to a person who may pretend to be someone else. These ... -
FakeDetect: Bangla fake news detection model based on different machine learning classifiers
(Brac University, 2021-06)Information is power although fake information can have severe consequences when it gets viral. Living in the era of social media is like always getting influenced by the news of the online world even though it is fake. ... -
A feature selection approach to determine obesity using machine learning method
(Brac University, 2021-06)The new health concern that is proliferating in developing and impoverished countries is obesity. It is recognized as a complex health issue caused by various factors such as genetics, behaviour, and other issues. Obesity ... -
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 ... -
Gene expression analysis using machine learning
(Brac University, 2021-01)Cancer is a multifactorial disorder that occurs due to the complex interaction between the environment and gene. The susceptibility of a person to cancer depends on his genetic build-up. Recently, the study of genomes in ... -
Health monitoring IoT device with risk prediction using cloud computing and machine learning
(Brac University, 2020-04)Health issues often stay hidden due to not having regular health checkups. Sometimes these issues build-up to a signi cant health hazard which stays hidden until it's often too late. So we came up with a series of ideas ... -
Heart disease prediction using techniques of classification in machine learning
(Brac University, 2021-06)In this thesis we have examined the accuracy of various classifiers to predict heart disease and heart vessel blockage. We have also analyzed the key features contribut ing to heart vessel blockage. We have used a dataset ... -
Human Activity Recognition using wearable body sensor by machine learning approach
(Brac University, 2019-12)The prevalence of electronics devices and the increase in computer resources, like networking, storage, accessibility and sensor capacity, have significantly improved the lives of humans. Now a days most smart devices ...