SinoXivUncertain multiobjective optimization problems arise in various real-world scenarios where ob-jectives are affected by uncertainty. To address this, we propose a quasi-Newton method to solve the robus...
This study proposes an applied multi-criteria decision-making framework for prioritizing school reconstruction in post-conflict environments under epistemic uncertainty. The framework synthesizes poli...
Mobile imaging devices face significant variability in image quality due to differences in hardware, environmental conditions,and device-specific characteristics, posing challenges for consistent phot...
Federated test-time adaptation (FTTA) enables privacy-preserving model adaptation to unlabeled target data during inference, yet it struggles with dynamic source client availability and uncertain test...
This study introduces an innovative methodological framework for AI-driven talent chain management, addressing key challenges in workforce optimization, collaboration dynamics, and innovation assessme...
Postgraduate education is commonly conceptualised as a counter-cyclical investment, with application demand expected to rise during periods of labour market uncertainty. Using a regime-aware diagnosti...
Simulation-based inference (SBI) provides a principled route to parameter inference when a simulator is available but pointwise likelihood evaluation is infeasible. Two technical bottlenecks neverthel...
