Abstract: Churn prediction is a common task for machine learning applications in business. In this paper, this task is adapted for solving problem of low efficiency of massive open online courses (only 5% of all the students finish their course). The approach is presented on course “Methods and algorithms of the graph theory” held on national... More
Abstract:
Malaysia is known throughout the world for its multiculturalism. As a multiple ethnic country, many countries are looking on Malaysia as a great example of peaceful co-existence races and belief where all the ethnic groups in Malaysia live together in harmony and enrich the country's cultural lifestyle. Within that, Malaysia also consists of a... More
Abstract:
Designing accurate and time-efficient real-time traffic sign recognition systems is a crucial part of developing the intelligent vehicle which is the main agent in the intelligent transportation system. Traffic sign recognition systems consist of an initial detection phase where images and colors are segmented and fed to the recognition phase. The most challenging process in... More
Abstract:
This paper deals with the importance of environment consideration in developed countries while collecting the requirement from customer to make robot that would address the question “Why robots should be made more precisely according to the environment needs? “In developed countries, robots are used in manufacturing work as well as in performing... More
Abstract:
The traditional platoon dispersion model is based on the hypothesis of probability distribution, and the time resolution of the existing traffic flow prediction model is too big to be applied to the adaptive signal timing optimization. Based on the view of the platoon dispersion model, the relationship between vehicle arrival at downstream intersection and vehicle... More