- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Image Retrieval and Classification Techniques
- Rough Sets and Fuzzy Logic
- Face and Expression Recognition
- Technology Adoption and User Behaviour
- Topic Modeling
- Imbalanced Data Classification Techniques
- Virtual Reality Applications and Impacts
- Recommender Systems and Techniques
- Educational Games and Gamification
- Hydrological Forecasting Using AI
- Digital Games and Media
- Multi-Criteria Decision Making
- Web Data Mining and Analysis
- AI in Service Interactions
- Text and Document Classification Technologies
- Mineral Processing and Grinding
- Natural Language Processing Techniques
- EEG and Brain-Computer Interfaces
- Reservoir Engineering and Simulation Methods
- Data Mining Algorithms and Applications
- Hydrocarbon exploration and reservoir analysis
- Artificial Intelligence in Games
- Speech and dialogue systems
Murdoch University
2016-2025
Carleton University
2018
The University of Western Australia
2009-2011
Zöldségtermesztési Kutató Intézet (Hungary)
2006
Nanyang Technological University
2003-2005
Hong Kong University of Science and Technology
2004
University of Hong Kong
2004
Curtin University
1997-2002
Andrássy University Budapest
2002
Social networking media are becoming popular among students and teachers in higher education.Researchers have also started to explore the use of social for teaching learning education.Social offered new opportunities sharing, creating interacting between teachers.However, implement adopt such technology, there is a need investigate factors that influence acceptance using technologies as tool teaching.In this paper, study based on Technology Acceptance Model (TAM), which emphasizes Perceived...
Augmented Reality (AR) is a technology that augments reality with either two or three dimensional computer generated imagery (CGI), objects and/or information, and allows users to interact them. AR on mobile devices are evolving offer great deal of potential in terms learning training. This paper discusses the development process prototype environment utilises mobile-Augmented (mAR). The called Human Anatomy Mobile HuMAR, selected topic anatomy human skeletal structure. main objective HuMAR...
Bio-waste valorization of Mango Seed (MS) husk to Activated Carbon (AC) was conducted via carbonization followed by chemical activation using KOH for sustainable supercapacitor material. Various physicochemical techniques were used characterise both MS and AC, while electrochemical assess the energy storage capability. Carbonized activated at four different temperatures 800, 900, 1000, 1100 °C. Optimal temperature found be °C resulting in a hierarchical porous structure, possessing highest...
Porous carbon derived from grape marc (GM) was synthesized via carbonization and chemical activation processes. Extrinsic nitrogen (N)-dopant in GM, activated by KOH, could render its potential use supercapacitors effective. The effects of activators such as potassium hydroxide (KOH) zinc chloride (ZnCl
In most fuzzy systems, the completeness of rule base is required to generate meaningful output when classical reasoning methods are applied. This means, in other words, that has cover all possible inputs. Regardless way construction, be it created by human experts or an automated manner, often incomplete bases generated. One simple solution handle sparse and make infer reasonable application interpolation (FRI) methods. this paper, we present a Fuzzy Rule Interpolation Matlab Toolbox, which...
The advanced computational capabilities in modern personal computers have made it possible for consumers to experience simulations with a high degree of verisimilitude through simulation games (a.k.a. Sims). In recent years, the cross-boundary technology exchange between game and technology, along other factors, has contributed confusion as what makes simulator. This article provides user's designer's perspective on definitive comparison similarities differences general, games, simulators....
Classification problem is a decision making task where many researchers have been working on. There are number of techniques proposed to perform classification. Neural network one the artificial intelligent that has successful examples when applying this problem. This paper presents comparison neural for binary classification problems. The performance obtained by five different types networks back propagation (BPNN), radial basis function (RBFNN), general regression (GRNN), probabilistic...
In most classification problems, sometimes in order to achieve better results, data cleaning is used as a preprocessing technique. The purpose of remove noise, inconsistent and errors the training data. This should enable use representative set develop reliable model. models, unclean could sometime affect accuracies this paper, we investigate misclassification analysis for cleaning. demonstrate our concept, have Artificial Neural Network (ANN) core computational intelligence We four...
The pervasiveness of social media and user-generated content has triggered an exponential increase in global data. However, due to collection extraction challenges, data embedded comments, reviews testimonials are largely inaccessible a knowledge management system. This article describes KM framework for the end-to-end value from such content. embodies solutions unlock potential UGC as rich, real-time source. Three contributions described this article. First, method automatically navigating...
Extreme learning machines (ELMs) has been theoretically and experimentally proved to achieve promising performance at a fast speed for supervised classification tasks. However, it does not perform well on imbalanced binary tasks tends get biased toward the majority class. Besides, since large amount of training data with labels are always available in real world, there is an urgent demand develop efficient semi-supervised version ELM In this article, owing distinct insensitivity area under...
The idea of integrating education and entertainment can be widely observed over the last few decades. Recently, two commonly known terms when referring to combining learning are learn through play edutainment. objective this paper is present an investigation into similarities differences these terms. This includes definitions, applications, discussions from different point views. results study found that edutainment important areas both use activity for learning. Learn a much broader term in...
Dyslexia is a disability that causes difficulties in reading and writing despite average intelligence. This hidden often goes undetected since dyslexics are normal healthy every other way. Electroencephalography (EEG) one of the upcoming methods being researched for identifying unique brain activation patterns dyslexics. The aims this paper to examine pros cons existing EEG-based pattern classification frameworks dyslexia recommend optimisations through findings assist future research. A...
Blockchain is a secure, digital ledger that enables faster transactions, reduces fraud, lowers costs, and enhances transparency. The blockchain capable of changing the face payments by providing greater opportunities for transformation. Consumer acceptance in emerging markets such as Bhutan depends on number key factors. This paper explores impact performance expectancy, effort social influence, facilitating conditions consumer blockchain-based payment systems Bhutan. Sustained Unified...