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- The University of MelbourneAU14 papers
- Monash UniversityAU13 papers
- Curtin UniversityAU11 papers
- National Institute for Materials ScienceJP11 papers
- Queen's University BelfastGB10 papers
- RMIT UniversityAU10 papers
- Swinburne University of TechnologyAU10 papers
- The University of SydneyAU9 papers
- UNSW SydneyAU8 papers
- Commonwealth Scientific and Industrial Research OrganisationAU7 papers
- University of Technology SydneyAU6 papers
- Wenzhou UniversityCN6 papers
9 papers · 1 filter
Dramaturgies of Deception: AI Humanizers and the Performance of Legitimacy in Higher Education Assessment
Jasper Roe, Mike Perkins, Peter Bannister +2
Artificial intelligence (AI) has disrupted assessment in higher education and accelerated a cycle of compounding performances. Institutional policies demand the demonstration of in…
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
We propose a Quantum Federated Autoencoder for Anomaly Detection, a framework that leverages quantum federated learning for efficient, secure, and distributed processing in IoT net…
Marginal Gains or Meaningful Progress? Exploring Tech Tuber Narratives on Annual Smartphone Innovation
Chandima Wickramatunga, Ruwan Nagahawatta, Anagi Gamachchi +1
Smartphone manufacturers continue to release new models annually, yet the pace of meaningful innovation has slowed, with most changes limited to incremental updates in design, perf…
Energy-Efficient Prediction in Textile Manufacturing: Enhancing Accuracy and Data Efficiency With Ensemble Deep Transfer Learning
Yan-Chen Chen, Wei-Yu Chiu, Qun-Yu Wang +2
Traditional textile factories consume substantial energy, making energy-efficient production optimization crucial for sustainability and cost reduction. Meanwhile, deep neural netw…
Multiagent Reinforcement Learning in Enhancing Resilience of Microgrids under Extreme Weather Events
Yin Wu, Wei-Yu Chiu, Yuan-Po Tsai +2
Grid resilience is crucial in light of power interruptions caused by increasingly frequent extreme weather events. Well-designed energy management systems (EMS) have made progress…
Profit Maximization for Electric Vehicle Charging Stations Using Multiagent Reinforcement Learning
Kun-Yan Jiang, Wei-Yu Chiu, Yuan-Po Tsai
Electric vehicles (EVs) are increasingly integrated into power grids, offering economic and environmental benefits but introducing challenges due to uncoordinated charging. This st…