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- Mandated CSR spending and Tax aggressiveness: A machine learning-driven analysis
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- Characterising surface roughness of Ti-6Al-4V alloy machined using coated and uncoated carbide tools with variable nose radius by machine learning
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- Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions
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- Venturing and managing disruptive digital innovations: financial management concept motivated propositions
Article
- Designing Computer Games to Teach Finance and Technical Concepts in an Online Learning Context: Potential and Effectiveness
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- Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications
- How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave
- A Deep Learning Approach for Sentiment Analysis of COVID-19 Reviews
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- Opportunities and Barriers for FinTech in SAARC and ASEAN Countries
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- A tree-based stacking ensemble technique with feature selection for network intrusion detection
- Malware detection in edge devices with fuzzy oversampling and dynamic class weighting
- Machine learning for characterizing growth in tourism employment in developing economies: an assessment of tourism employment in Sri Lanka
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- Intelligent type 2 diabetes risk prediction from administrative claim data
- How did socio-demographic status and personal attributes influence compliance to COVID-19 preventive behaviours during the early outbreak in Japan? Lessons for pandemic management
- How Australian SMEs engage social media as digital touchpoints – a content analysis
- The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate
- Onslaught of COVID-19: How Did Governments React and at What Point of the Crisis?
- Good practices of delivery and teaching leadership for online educators in technical disciplines: A perspective
- Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques
- Research interdisciplinarity: STEM versus non-STEM
- Mobile Malware Detection with Imbalanced Data using a Novel Synthetic Oversampling Strategy and Deep Learning
- Model selection for one‐day‐ahead AUD/USD, AUD/EUR forecasts
- A Systematic Review of Network Studies Based on Administrative Health Data
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- Selective Adversarial Learning for Mobile Malware
- Mobile Malware Detection: An Analysis of Deep Learning Model
- Brain Cancer Diagnosis-Association Rule Based Computational Intelligence Approach
- Potentials of Data Mining and Cloud Computing in the Fish Poisoning and Relevant Economic Contexts: A Conceptual Review
- Curriculum coherence when subject-specific standards are absent: a case study using coursework-based master of finance programs at Australian universities
- Medical knowledge based data mining for cardiac stress test diagnostics
- Association rule mining to detect factors which contribute to heart disease in males and females
- Computational intelligence for heart disease diagnosis: A medical knowledge driven approach
Article
- Dynamics of the currency exchange rates against the AUD: Analytical and risk mitigation perspectives
- Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer
- Intelligent Computing and Foreign Exchange Rate Prediction: What We Know and We Don��t
- LINEAR RELATIONSHIP BETWEEN THE AUD/USD EXCHANGE RATE AND THE RESPECTIVE STOCK MARKET INDICES: A COMPUTATIONAL FINANCE PERSPECTIVE
- Relating firm performance to corporate governance characteristics: A research perspective on the publicly listed information technology companies in Australia
- A new symbolic substitution based addition algorithm
- Symbolic substitution basedcanonical recoding algorithms