Localization is one of the challenges in wireless sensor networks, especially those without
the aid of a global positioning system. Use of a dedicated positioning device incurs …

Due to the quickly aging population, the number of elderly persons is rapidly increasing,
posing significant challenges for monitoring and assisting them in indoor and outdoor …

Although sentiment analysis on traditional online texts has been studied in depth, sentiment
analysis for social media texts is still a challenging research direction. In the social media …

The efficient data investigation for fast and accurate remaining useful life prediction of
aircraft engines can be considered as a very important task for maintenance operations. In …

Compared with traditional learning criteria, such as minimum mean square error (MMSE),
the minimum error entropy (MEE) criterion has received increasing attention in the domains …

A new era of ubiquitous indoor location awareness is on the horizon especially for context
sensing, ambient assisted living and many other smart city applications. Although indoor …

In this paper, a novel hybrid model based on the constraint online sequential extreme
learning machine (COSELM) classifier with adaptive weighted sparse representation …

Currently, there are some emerging online learning applications handling data streams in
real-time. The On-line Sequential Extreme Learning Machine (OS-ELM) has been …

As the significant branch of intelligent vehicle networking technology, the intelligent fatigue
driving detection technology has been introduced into the paper in order to recognize the …

Because it is difficulty to classify level of fabric wrinkle, this paper proposes a fabric winkle
level classification model via online sequential extreme learning machine based on …