Predicting lane-changing behaviour is an integral part of lane-changing decision models
and has a significant impact on both traffic flow characteristics and traffic safety. A variety of …

This research discussed our experienced on building a machine learning model on the
human aspect of information security awareness. The model was built through a …

Unsupervised machine learning became a ubiquitous method appearing in E-commerce
solutions that strive to provide personalized recommendations for their users. Most of those …

Safety and efficiency of autonomous driving behavior are a tradeoff. Behaviors that are too
focused on safety can reduce road operation efficiency, while those that are too efficient can …

In this paper, we propose an efficient, fast, and easy-to-implement method for recognizing
human actions in depth image sequences. In this method, the human body silhouettes are …

This paper presents a smart embedded Functional Electrical Stimulator (FES), able to
stimulate a muscle only when a specific movement pattern occurs. This pattern is detected …

The Indo-Australian Plate, the Eurasian Plate, and the Pacific Plate all converge where
Indonesia is situated. As a result, Indonesia is a nation where earthquakes occur frequently …

Tapered roller bearings are used partly in very rough and highly stressful environmental
conditions. Therefore, the need for condition monitoring is increasing. This study is intended …

The paper presents the problem of identifying the pressed buttons of a typical computer
keyboard using audio signals. During the experiments, signals were recorded by a digital …

Case-based reasoning (CBR) is used to resolve a new problem by searching in past similar
situations. It is widely used for prediction. However, CBR induces many shortcomings …