Browsing by Subject "SVM"
Now showing items 1-20 of 25
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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 ... -
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 ... -
Affective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting
(Brac University, 2021-01)Emotion analysis has become a very important aspect in everyday life. It gives a detailed understanding of the behavior of human. In this research, we have focused on three dimensions of emotion. These are arousal (calm ... -
Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
(Brac University, 2020-04)Uterine cervical cancer is the second most regular gynecological harm around the world. The appraisal of the degree of sickness is fundamental for arranging ideal treatment. Imaging procedures are progressively utilized ... -
Crop monitoring system using image processing and environmental data
(BRAC University, 2018)We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and ... -
Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
(Brac University, 2020-04)Depression is accorded as one of the leading causes to all the problems related to mental health in the Global disease burden study (GBD). Major depressive disorder (MDD) is when this depression reaches to a larger extent, ... -
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 ... -
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 of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
(Brac University, 2021-06)Epilepsy is the most common neurological issue in people after stroke. Around 40 or 50 million individuals on the planet endure epilepsy. Epilepsy is characterized by an irregular seizure in which abnormal electrical ... -
EEG signals analysis for motor imagery brain computer interface
(Brac University, 2019-08)A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using ... -
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
(BRAC University, 2018-12)In recent years, detecting epileptic seizure has gained a high demand in the field of research. It is such a common and high talked brain disorder, since more than 65 million individuals worldwide are affected by this ... -
Exploring cognitive load and emotional states for the visually impaired
(Brac University, 2019-04)Cognitive load and emotional states may impact for designing an assistive navigation aid for the Visually Impaired Peoples (VIPs). In this study, electroencephalogram (EEG) signals were captured from participants with ... -
Finding suitable locations for live campaigns using different machine learning techniques
(BRAC University, 2018)For business booming, in recent years the idea of find an ideal location for reaching potential customers has been the focus of past research. Traditional approaches have faced many negative responses, now to make business ... -
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 ... -
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 ... -
An IoT-based ambient assisted living for elderly care and monitoring in COVID-19 pandemic using arti cial intelligence and deep learning
(Brac University, 2021-06)In late 2019, a novel Coronavirus broke out from China, which has dispersed all over the globe and has taken away countless lives. Despite the fact that every person is at risk of getting infected with the virus, older ... -
LVQ and HOG based speed limit traffic signs detection and categorization
(© 2014 IEEE Computer Society, 2014)The proper identification of the traffic signs can ensure driving safety and can play a very important role in reducing the number of road accidents significantly. This paper represents a uniform way to detect the speed ... -
A machine learning approach to predict movie box-office success
(BRAC University, 2017)Making a prediction of society’s reaction to a new product in the sense of popularity and adaption rate has become an emerging field of data analysis. The motion picture industry is a multi-billion dollar business. And ... -
Prediction of diabetes induced complications using different machine learning algorithms
(BRAC University, 2018-08)Machine Learning is an ever expanding field of Artificial Intelligence which uses huge amount of data to develop algorithms that can detect patterns and systems. One such application of Machine Learning is developing ... -
Producing self tuned music using machine learning tools
(BRAC University, 2017)Automatic music genre classification is one of the important tasks for the Music Information Retrieval (MIR). With the development of the knowledge on Machine Learning, researchers have implemented different methods to ...
