Introduction: Evoked potentials arisen by stimulating the brain can be utilized as a communication tool  between humans and machines. Most brain-computer interface (BCI) systems use the P300 component,  which is an evoked potential. In this paper, we evaluate the use of the hidden Markov model (HMM) for  detection of P300.  Materials and Methods: The wavelet transforms, wavelet-enhanced indepen...

In this paper, we evaluate various onset detection algorithms in terms of their online capabilities. Most methods use some kind of normalization over time, which renders them unusable for online tasks. We modified existing methods to enable online application and evaluated their performance on a large dataset consisting of 27,774 annotated onsets. We focus particularly on the incorporated prepr...

Anomalies in online social networks can signify irregular, and often illegal behaviour. Detection of such anomalies has been used to identify malicious individuals, including spammers, sexual predators, and online fraudsters. In this paper we survey existing computational techniques for detecting anomalies in online social networks. We characterise anomalies as being either static or dynamic, a...

Although the exponential growth of the internet has made it easier than ever to carry out plagiarism, it has also made it much easier to detect. This paper will give an overview of the many different methods of detecting web-based plagiarism which are currently available, assessing practical matters such as cost, functionality and performance. Different types of plagiarism detection services wi...

The water level and flow of middle and small rivers has been achieved online-monitoring. However, the sediment detection is still in the manual observation. We propose the sediment online-detection system of in flow-water based on image analysis. We capture the underwater images by special camera device, and then transmit images to monitoring centers through channel. Furthermore, we implement s...

Current state-of-the-art action detection systems are tailored for offline batch-processing applications. However, for online applications like human-robot interaction, current systems fall short, either because they only detect one action per video, or because they assume that the entire video is available ahead of time. In this work, we introduce a real-time and online joint-labelling and ass...

The aggressive online solicitation of youth by online sexual predators has been established as an unintended consequence of the connectedness afforded individuals through social media. Computer science research that has focused on the detection of online sexual predators is scant and absent behavioral theory. We address this gap through examining what behavioral patterns emerge regarding how on...