Publications

The rapid increase in the deployment of Internet-of-Things (IoT) devices necessitates robust intrusion detection systems. This study …

In this study, 4,660 fielding outcomes from international 50-over and T20 cricket as well as multiple international franchise T20 …

Machine learning has been successfully applied in developing malware detection systems, with a primary focus on accuracy, and …

Since its first adoption as a computational model for language learning, evidence has accumulated that Rescorla–Wagner error-correction …

Two prominent types of uncertainty that have been studied extensively are expected and unexpected uncertainty. Studies suggest that …

We examined how language supports the expression of temporality within sentence boundaries in English, which has a rich inventory of …

How language users become able to produce forms they have never encountered in input is central to our understanding of language …

Most optimal foraging models assume that the foraging behaviour of small birds depends on a single state variable, their energy …

We present a Bayesian reinforcement learning model with a working memory module which can solve some non-Markovian decision processes. …

Contact

  • School of Business, Arts, Social Sciences and Technology, University of Suffolk, Ipswich, IP4 1QJ