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ICIRD: Information-Principled Deep Clustering for Invariant, Redundancy-Reduced and Discriminative Cluster Distributions.

Zheng, A Wu, RMX Wang, Y He, Y

Deep clustering aims to discover meaningful data groups by jointly learning representations and cluster probability distributions. Yet existing methods rarely consider the underlying information ch...

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Exploring the Key Drivers of CO2 Emissions in Australia

Ghannam, S

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Root Biomechanics Testing Challenges: Findings from Experiments on Native Australian Trees

Zhu, J El-Zein, A Hubble, T Miao, G

Root biomechanical properties are critical for soil reinforcement and slope stability, yet the lack of standard tensile testing procedures creates significant variability in results. This study exa...

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Autogenous and Chemical Shrinkage of Limestone Calcined Clay Cement (LC3) Pastes

Canda, E San Nicolas, R Rasekh, H Castel, A

This study investigated the chemical and autogenous shrinkage behaviour of limestone calcined clay cement (LC³) pastes incorporating calcined clays sourced from Australia, France, and In...

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AI governance in higher education: A meta-analytic thematic review of current research trends, policy initiatives and knowledge gaps

Abbas, A Berenjforoush Azar, B Mahrishi, M Martín-Núñez, JL Mishra, D

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An Interaction–Engagement–Intention Model: How Artificial Intelligence and Augmented Reality Transform the User–Platform Interaction Paradigm

Kabir, ZS Kang, K

Interaction with mobile platforms changes users’ emotional and cognitive engagements through various stimuli cues that respond to behavioural intentions. Emerging technologies such as artificial in...

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eXplainable Artificial Intelligence (XAI): A Systematic Review for Unveiling the Black Box Models and Their Relevance to Biomedical Imaging and Sensing.

Hettikankanamage, N Shafiabady, N Chatteur, F Wu, RMX Ud Din, F Zhou, J

Artificial Intelligence (AI) has achieved immense progress in recent years across a wide array of application domains, with biomedical imaging and sensing emerging as particularly impactful areas. ...

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What am I learning? Student perceptions of degree-level intended learning outcomes

Chinn, S Daniel, S Gardner, A

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An Explainable Comparative Study of Statistical, Machine Learning, Deep Learning, and Hybrid Models for CO2 Emissions Forecasting in Australia

Ghannam, S

Accurate forecasting of national CO2 emissions is critical for evidence-based climate policy and for meeting commitments such as Australia’s 2050 net-zero target and the United Nations Sustainable ...

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Productivity Benefits Beyond Energy Savings: An Analysis of Industrial Energy Efficiency Measures and Industry 4.0 Technologies

Hasan, ASMM Trianni, A

When energy efficiency measures are applied in industrial enterprises, the implications extend beyond energy savings, generating additional benefits known as productivity benefits. However, there i...

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