Real Time Myanmar Traffic Sign Recognition System using HOG and SVM ijtsrd
Traffic sign recognition is one of the most important research topics for enabling autonomous vehicle driving systems. In order to be deployed in driving environments, intelligent transport system must be able to recognize and respond to exceptional road conditions such as traffic signs, highway work zones and imminent road works automatically. In this paper, Real […]
Sustainable Development for Higher Education Sector using Mobile Cloud with Moodle ijtsrd
Mobile cloud learning, a combination of mobile learning and cloud computing, is a relatively new concept that holds considerable promise for future development and delivery in the education sectors. This paper investigates the use of a cloud computing environment to facilitate the teaching of web development at a university. A between subjects study of students […]
Intelligent Exercise System IJTSRD
Nowadays as the world is heading towards the smart cities and automation is available in each and every prospect. The automations are available in each and every field. The medical field is very important. In military and also for the person who is not physically fit. Those person required physiotherapy to monitor and making exercise […]
To Design and Develop Intelligent Exercise System IJTSRD
As the population increases result in rise in the occurrences of accident .The person need a physical exercise as followed by doctor to overcome the injury happed during accident. The every individual also required proper physical exercise. This paper explains the automatic intelligent exercise system. The system is implemented with the help of kinet sensor. […]
Data Imputation Methods and Technologies IJTSRD
We introduce a class of linear quantile regression estimators for panel data. Our framework contains dynamic autoregressive models, models with general predetermined regressors, and models with multiple individual e?ects as special cases. We follow a correlated random-e?ects approach, and rely on additional layers of quantile regressions as a flexible tool to model conditional distributions. Conditions […]