A5057716351- Technology Adoption and User Behaviour
- Digital Marketing and Social Media
- Blockchain Technology Applications and Security
- FinTech, Crowdfunding, Digital Finance
- Big Data and Business Intelligence
- Customer Service Quality and Loyalty
- Organizational and Employee Performance
- ERP Systems Implementation and Impact
- E-commerce and Technology Innovations
- Online Learning and Analytics
- Risk and Safety Analysis
- Artificial Intelligence in Healthcare and Education
- Consumer Retail Behavior Studies
- Air Quality Monitoring and Forecasting
- Mobile Learning in Education
- Digital Platforms and Economics
- IoT and Edge/Fog Computing
- Artificial Intelligence in Healthcare
- Information Technology Governance and Strategy
- ICT Impact and Policies
- Information Retrieval and Data Mining
- Consumer Market Behavior and Pricing
- Cloud Computing and Resource Management
- Marketing and Advertising Strategies
- AI in Service Interactions
Central Queensland University
2015-2024
Charles Darwin University
2023
University of Technology Sydney
1999-2023
Shanxi Normal University
2023
Ferrum College
2021
University of Southern Queensland
2016
Beijing City University
2006
Abstract Disease risk prediction is a rising challenge in the medical domain. Researchers have widely used machine learning algorithms to solve this challenge. The k -nearest neighbour (KNN) algorithm most frequently among wide range of algorithms. This paper presents study on different KNN variants (Classic one, Adaptive, Locally adaptive, k-means clustering, Fuzzy, Mutual, Ensemble, Hassanat and Generalised mean distance) their performance comparison for disease prediction. analysed these...
Today, every organisation depends on Information and Communication Technology (ICT) for the efficient service delivery cost-effective application of technological resources. With growing preference towards faster services acceptance Artificial Intelligence (AI) based tools in business operations globally as well India, global Chatbot market is going to accelerate next decade. In era AI, witnessing extraordinary growth with increased demand smartphones use messaging applications. past few...
Background As the world’s largest coal producer, China was accounted for about 46% of global production. Among present mining risks, methane gas (called in this paper) explosion or ignition an underground mine remains ever-present. Although many techniques have been used, accidents associated with complex elements gassy mines need more robust monitoring warning systems to identify risks. This paper aimed determine which single method between PCA and Entropy methods better establishes a...
<abstract><p>This study explores the use of Generative artificial intelligence (GenAI) tool ChatGPT in higher education. Amidst potential benefits and risk misuse, this research investigates tool's role as a classroom aid its impact on learning outcomes experiences. Three case studies involving undergraduate postgraduate ICT students were conducted. Findings revealed positive perception useful enjoyable resource. Most indicated willingness to such AI tools future. Additionally,...
This paper proposes a novel identity management framework for Internet of Things (IoT) and cloud computing-based personalized healthcare systems. The proposed uses multimodal encrypted biometric traits to perform authentication. It employs combination centralized federated access techniques along with based continuous fusion electrocardiogram (ECG) photoplethysmogram (PPG) signals when performing In addition relying on the unique identification characteristics users’ traits, security is...
Abstract Artificial intelligence (AI) tools, notably ChatGPT, are increasingly recognised for their transformative potential in higher education. This study employs a detailed case approach complemented by survey, delving into ChatGPT’s impact on pedagogical practices, student engagement, and academic performance. It involved 74 undergraduate postgraduate students enrolled data analytics courses Australia. The quantitative analysis highlights role providing personalised on-demand support,...
Abstract Purpose Machine learning models are used to develop and improve various disease prediction systems. Ensemble is a machine technique that combines many classifiers increase performance by making more accurate predictions than single classifier. Although several researchers have employed ensemble techniques for prediction, comprehensive comparative study of these still needs be provided. Methods Using 16 datasets from Kaggle the UCI Learning Repository, this compares 15 variants...
In the modern digital landscape of Internet Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with increasing complexity IoT systems networks. Addressing these while ensuring security user trust, is pivotal. This paper proposes a novel Semantic Middleware (SIM) for healthcare. The architecture this middleware comprises following main processes: generation, semantic annotation, encryption, operations. generation module facilitates seamless event...
Among all the gas disasters, concentration exceeding threshold limit value (TLV) has been leading cause of accidents. However, most systems still focus on exploring methods and framework for avoiding reaching or TLV from viewpoints impacts geological conditions coal mining working-face elements. The previous study developed a Trip-Correlation Analysis Theoretical Framework found strong correlations between gas, temperature, wind in monitoring system. this framework's effectiveness must be...
In recent years the web-based Relationship Marketing (RM) has been receiving a great attention from e-marketing perspective. The RM is evolved as contemporary marketing initiative, which can be applied to all types of industries. Concurrently, because advancement Information Technology, promotion and market offering are considered dominating business development tool. From this context, five grown sporting cases have analysed realise how influences develop sustainable growth model, where...
Due to its several benefits, Cloud based services are effectively used by businesses especially Small and Medium Enterprises (SMEs). SMEs perceived an important role in economic growth of any country. They responsible for the reduction poverty, development rural areas, generation job opportunities, entrepreneurship increasing export nation. do not have sufficient resources adopt new technologies enhance their business performance. Though some factors which induce these organisations...
Trust plays a vital role in the adoption of new payment system so far as people need to trust that prevailing currency, or other words, money, is recognized by all stakeholders. With evolution methods, shifting from paper-based electronic-based, building consumer has become element for success businesses involved mobile systems sector. In this context, aim study was delve deeper into factors have impact on consumers (MPS) Australia. A quantitative approach through questionnaire survey...
In the era of digital healthcare, biomedical data sharing is paramount importance for advancement research and personalised healthcare. However, such while preserving user privacy ensuring security poses significant challenges. This paper introduces BioChainReward (BCR), a blockchain-based framework designed to address these concerns. BCR offers enhanced security, privacy, incentivisation in applications. Its architecture consists four distinct layers: data, blockchain, smart contract,...
Previous research has determined that the measurement of business satisfaction (e-commerce – EBS) with e-commerce success could be a better determinant successful adoption an system than measuring from customer perspective. The aim this continuing is to determine if common critical factors (CSFs) exist for EBS across different countries. Based on 73 initial items previous research, blend quantitative and qualitative methods was used gather data SMEs in Australia China. were analysed using...
With the worldwide appearance of Big Data and its prospective to citizens in all endeavours, there has been a developing requirements for research on business drivers influencing adoption services. This paper therefore focuses Small Midsized Enterprises-SMEs Jordan; hoping have better delivery services with increased transparency availability technology, improved interaction SMEs. reviewed relationships between SMEs general Jordan. In addition, it examines barriers adopting among The mainly...
For the last ten years, while many e-commerce systems have been successfully adopted in businesses across different industries, a significant numbers failed, especially Small to Medium Enterprises (SMEs). To date, no detailed academic or industry studies found field of business satisfaction with systems. This research aims develop an effective measure success from point view, termed E commerce Business Satisfaction (EBS). paper also describes existing knowledge on systems, and provides model...
Hawthorn Football Club is a Melbourne based Australian Rules club had debt of AU $1.7 million in 1996. has established central e-CRM database to progressively achieve their business goals by integrating all membership, management, finance, marketing and sales information. Therefore, the facilitates predict market trend formulate long-term development strategies synthesising integrated data Hawthorn's value-network. Today, themselves as one most financially strong football clubs transforming...
<p>Today, every business depends on Information Technology (IT) for the efficient service delivery and cost-effective application of technological resources. Modern technologies are being adopted to overcome pressure, streamline existing procedures cost-efficiency maximising profit due increase in global competition shifts customer expectations. Cloud computing (CC) is an Internet-centric that utilises provides IT services organisations through provisioning resources Internet using...
This paper discusses the factors influencing Indian Small and Medium Enterprises' (SMEs) adoption of Cloud based services. research, through an extensive literature review, analyzes current situation, benefits, challenges services for SMEs. It identifies confirms key (e.g., Cost reduction, relative advantage, security, regulatory support, firm size, top management technological readiness) that determine by SMEs, on secondary research. The target population this study is SMEs in India are...
Gas explosions and outbursts were the leading types of gas accidents in mining China with concentration exceeding threshold limit value (TLV) as cause. Current research is focused mainly on using machine learning approaches for avoiding TLV concentration. no published reports found literature attempts to uncover correlation between data other predict This aimed fill this gap develop an innovative warning system increasing coal safety. A mixed qualitative quantitative methodology was adopted,...
This research aims to explore the multi-focus group method as an effective tool for systematically eliciting business requirements information system (BIS) projects. During COVID-19 crisis, many businesses plan transform their into digital businesses. Business managers face a critical challenge: they do not know much about detailed and what want transformation requirements. Among approaches used understanding requirements, focus has been help elicit BIS needs over past 30 years. However,...