SensorFault-Bench is a new CPS-grounded benchmark showing that clean-MSE rankings of forecasting models often disagree with their robustness under standardized sensor-fault scenarios across four real datasets.
Multi-Agent Reinforcement Learning-Based Fairness-Aware Scheduling for Bursty Traffic
7 Pith papers cite this work. Polarity classification is still indexing.
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Bivariate bicycle codes enable a modular architecture that supports an order of magnitude more logical circuit volume per physical qubit than surface-code designs under circuit noise.
M-ASPM decouples receiver sensitivity gains from collision exposure in LPWANs via a single shared detection channel that handles synchronization, CFO estimation, and payload channel selection across multiple payload channels.
AdaFair-MARL enforces workload fairness as an explicit second-order cone constraint in cooperative MARL via adaptive primal-dual optimization, achieving near-perfect constraint satisfaction while preserving team performance.
IDQS combines a recurrent predictive neural network for QoS forecasting with a pairwise decision model to detect LDoS attacks, reporting over 79% and 91% accuracy on two public datasets with 0.28s inference time.
A methodology constructs a glossary of viable urban site typologies for distributed PV-powered servers from legal, project, consultation, and literature sources, then evaluates them on energy, spatial, and qualitative criteria in Montpellier.
citing papers explorer
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Tour de gross: A modular quantum computer based on bivariate bicycle codes
Bivariate bicycle codes enable a modular architecture that supports an order of magnitude more logical circuit volume per physical qubit than surface-code designs under circuit noise.
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AdaFair-MARL: Enforcing Adaptive Fairness Constraints in Multi-Agent Reinforcement Learning
AdaFair-MARL enforces workload fairness as an explicit second-order cone constraint in cooperative MARL via adaptive primal-dual optimization, achieving near-perfect constraint satisfaction while preserving team performance.