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RQH Sampling Strategy Analysis with DF Method
This chapter introduces a novel sampling approach, termed Regular Quantization with Hysteresis (RQH), designed for networked control systems. RQH...
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A cost-effective sampling strategy by variables inspection for lot disposition
Acceptance sampling plans are a commonly used statistical technique in quality control and assurance applications, enabling producers and consumers...
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Event-triggered Sampling Strategy Design to Optimize the Performance of a Scalar System Under Feedback Communication Constraints
This paper aims to optimize the performance of a scalar continuous-time linear time-invariant system, whose feedback information is transmitted...
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New attention strategy for negative sampling in knowledge graph embedding
In the study of knowledge graph embedding (KGE), self-adversarial negative sampling is a recently proposed technique based on the attention...
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Choice of Sampling Strategy for Flexible Pavement Distress Survey
Periodical monitoring of the condition of the pavement is performed through functional and structural evaluation. For functional evaluation of the...
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A Heterogeneous Sampling Strategy to Model Earthquake-Triggered Landslides
Regional modeling of landslide hazards is an essential tool for the assessment and management of risk in mountain environments. Previous studies that...
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Adaptive inter-intradomain alignment network with class-aware sampling strategy for rolling bearing fault diagnosis
Existing unsupervised domain adaptation approaches primarily focus on reducing the data distribution gap between the source and target domains, often...
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Research on the influence of different sampling resolution and spatial resolution in sampling strategy on landslide susceptibility map** results
Landslides, recognized as a significant global natural disaster, necessitate an exploration of the impact of various resolution types in sampling...
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Prior experience modifies acquisition trajectories via response–strategy sampling
Few studies have considered how signal detection parameters evolve during acquisition periods. We addressed this gap by training mice with...
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HSS: enhancing IoT malicious traffic classification leveraging hybrid sampling strategy
Using deep learning models to deal with the classification tasks in network traffic offers a new approach to address the imbalanced Internet of...
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A Bayesian sampling optimisation strategy for finite element model updating
Model Updating (MU) aims to estimate the unknown properties of a physical system of interest from experimental observations. In Finite Element (FE)...
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An adaptive on-machine sampling strategy for blades based on modified equal chord height method
In the context of the aeronautics industry, the parts of the aircraft should be machined precisely and efficiently, for which an appropriate...
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Partition Sampling Strategy for Robot Motion Planning in Narrow Passage Under Uncertainty
To address the perception and motion uncertainty issues for motion planning in narrow passage environments, a Partitioned Sampling Strategy based on...
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Towards Learning the Optimal Sampling Strategy for Suffix Prediction in Predictive Monitoring
Predictive monitoring is a subfield of process mining which focuses on forecasting the evolution of an ongoing process case. A related main challenge...
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A novel adaptive sampling strategy for the Kriging surrogate-based control co-design method in the dynamic system
When solving the physical-control collaborative optimization problem, referred to as control co-design (CCD) problem, in dynamic system, it is...
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An Effective Estimation Strategy for Population Mean over Successive Sampling of h Occasion
Two-occasion sampling might only provide a snapshot of the phenomenon under investigation. Extending to h occasions allows researchers to capture...
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Moving-zone renewal strategy combining adaptive Kriging and truncated importance sampling for rare event analysis
In practice, a vital challenge problem is how to accurately evaluate the failure probability of rare events with a minimum of samples. Although...
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Optimization of spatial prediction and sampling strategy of site contamination based on Thiessen polygon coupling interpolation
Contaminated sites pose a serious threat to the ecological environment and human health. Because of the presence of multiple peaks in the pollution...
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Visualization-Driven Graph Sampling Strategy for Exploring Large-Scale Networks
Graph sampling is crucial for analyzing and understanding large-scale networks across various domains. While numerous approaches have been proposed...
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Population pharmacokinetics and limited sampling strategy for therapeutic drug monitoring of mycophenolate mofetil in Japanese patients with lupus nephritis
BackgroundMycophenolate mofetil (MMF), a prodrug of the immunosuppressive agent mycophenolic acid (MPA), is difficult to administer because of the...
