Lim Wern Han

Lim Wern Han
  • Doctor of Philosophy (Computer Science)
  • Monash University Malaysia

About

11
Publications
673
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57
Citations
Current institution
Monash University Malaysia

Publications

Publications (11)
Article
Full-text available
Objective Neonates’ physiological immaturity and complex dosing requirements heighten their susceptibility to medication administration errors (MAEs), with the potential for severe harm and substantial economic impact on healthcare systems. Developing an effective risk prediction model for MAEs is crucial to reduce and prevent harm. Methods This n...
Conference Paper
Full-text available
Emotions are essential for human communication as they reflect our inner states and influence our actions. Today, emotions provide crucial information to many applications, from virtual assistants to security systems, mood-tracking wearable devices, and autism robots. The speech emotion recognition (SER) model must be lightweight to run on varying...
Article
The Information-Centric Internet-of-Things (IC-IoT) will connect billions of devices to the Internet, which allows for many remarkable applications like smart homes, smart grids, smart transport, and digital health to become a reality. However, such a massive number of connections are certain to generate huge amounts of data and present a real chal...
Conference Paper
This paper investigates the annotation-based retrieval (AR) of World Wide Web (WWW) resources that has been annotated by users on Collaborative Tagging (CT) platforms as a form of user-generated content (UGC). Previous approaches have simply weight the WWW resources according to their popularity, in order to leverage on the inherent wisdom of the c...
Conference Paper
Reddit as a social curation site relies on its users to curate content from the World Wide Web (WWW) for the consumption of other users. Content on the site is enriched through user comments, discussions and extensions. This additional content is of varying quality however -- ranging from meaningful information to misleading content; depending on t...
Conference Paper
Community Question-Answering (CQA) platforms leverage the inherent wisdom of the crowd - enabling users to retrieve quality information from domain experts through natural language. An important and challenging task is to identify reliable and trusted experts on large popular CQA platforms. State-of-the-art graph-based approaches to expertise estim...
Article
The World Wide Web (WWW) has grown into a rich repository of information. The vast amount of data on the web however would require the users to be skilled in querying generic information retrieval (GIR) systems to meet their information need. This is further complicated by various noises on the web such as spam and advertisement. Personalized infor...
Article
Full-text available
With the increasing amount of web pages over the internet, it has been a major concern to obtain information on the internet accurately at a reasonable cost with decent performance. A potential solution is through the classification of web pages into meaningful categories. An effective classification of web pages is of benefit to various applicatio...
Article
With the increasing amount of web pages over the internet, it has been a major concern to obtain information on the internet with accuracy at reasonable cost and feasible performance. A potential solution would be through web page classification. An effective classification of web pages is of benefit in various applications such as web mining and s...

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