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Statistical tools and methodologies for ultrareliable low-latency communication—a tutorial
Ultrareliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC …
generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC …
[PDF][PDF] Statistical tools and methodologies for URLLC-A tutorial
Ultra-reliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …
Deep learning for high-dimensional reliability analysis
High-dimensional reliability analysis remains a grand challenge since most of the existing
methods suffer from the curse of dimensionality. This paper introduces a novel high …
methods suffer from the curse of dimensionality. This paper introduces a novel high …
Reliability-based optimal design of nonlinear viscous dampers for the seismic protection of structural systems
Viscous dampers are widely employed for enhancing the seismic performance of structural
systems, and their design is often carried out using simplified approaches to account for the …
systems, and their design is often carried out using simplified approaches to account for the …
Failure-informed adaptive sampling for PINNs, part II: combining with re-sampling and subset simulation
This is the second part of our series works on failure-informed adaptive sampling for physic-
informed neural networks (PINNs). In our previous work (SIAM J. Sci. Comput. 45: A1971 …
informed neural networks (PINNs). In our previous work (SIAM J. Sci. Comput. 45: A1971 …
REIN: Reliability Estimation via Importance sampling with Normalizing flows
We introduce a novel framework called REIN: Reliability Estimation by learning an
Importance sampling (IS) distribution with Normalizing flows (NFs). The NFs learn probability …
Importance sampling (IS) distribution with Normalizing flows (NFs). The NFs learn probability …
Subset simulation based approach for space-time-dependent system reliability analysis of corroding pipelines
This paper proposes a subset simulation (SS) based approach for space and time-
dependent reliability analysis of corroding pipelines. It is assumed that the pipeline can fail …
dependent reliability analysis of corroding pipelines. It is assumed that the pipeline can fail …
Learning for MPC with stability & safety guarantees
The combination of learning methods with Model Predictive Control (MPC) has attracted a
significant amount of attention in the recent literature. The hope of this combination is to …
significant amount of attention in the recent literature. The hope of this combination is to …
A recursive dimension-reduction method for high-dimensional reliability analysis with rare failure event
A new dimension-reduction method (DRM), called'subset active subspace method (SASM)',
is proposed to compute small failure probabilities encountered in high-dimensional …
is proposed to compute small failure probabilities encountered in high-dimensional …
Accelerated evaluation of autonomous vehicles in the lane change scenario based on subset simulation technique
The testing of autonomous vehicle (AV) safety is receiving a lot of attention due to several
high-profile crashes caused by AVs. Popular AV testing techniques include test matrix and …
high-profile crashes caused by AVs. Popular AV testing techniques include test matrix and …