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Sampling
In numerous applications, copulas are widely recognized for their ability to capture complex dependencies. However, the use of copulas can pose a...
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A frequency ratio–based sampling strategy for landslide susceptibility assessment
Owing to the difficulties in determining the boundaries of landslides from landslide inventory, landslide samples are often expressed by geometrical...
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Does Sample Size, Sampling Strategy, or Handling of Concentrations Below the Lower Limit of Quantification Matter When Externally Evaluating Population Pharmacokinetic Models?
Background and ObjectivesPrecision dosing requires selecting the appropriate population pharmacokinetic model, which can be assessed through external...
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Application of the multiple dependent state sampling strategy to late adolescent suicide rates
A multiple dependent state sampling plan (MDSSP) is designed when the lifetimes of the variables follow New Lomax Rayleigh Distribution (NLRD). The...
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Sampling unknown large networks restricted by low sampling rates
Graph sampling plays an important role in data mining for large networks. Specifically, larger networks often correspond to lower sampling rates....
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Evaluation of self-sampling-based cervical cancer screening strategy using HPV Selfy CE-IVD test coupled with home-collection kit: a clinical study in Italy
BackgroundPrimary human papillomaviruses (HPV) cervical cancer screening can be strengthened by offering home-collection of biological specimen as a...
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Optimal Strategy for Elevated Estimation of Population Mean in Stratified Random Sampling under Linear Cost Function
In this paper, we propose the exponential ratio-type estimator for the elevated estimation of population mean, implying one auxiliary variable in...
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Interest of the appropriate sampling strategy and analysis procedure for a representative assessment of the agricultural soil pollution level of the Pb-Zn mining site of Jbel Ressas (NE Tunisia)
The Jbel Ressas site is an ancient Pb-Zn mine located in the northwest of Tunisia. The long activity of the mine has produced a huge volume of waste...
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An optimized Bi-LSTM with random synthetic over-sampling strategy for network intrusion detection
Due to the increased quantity and variety of cyber-attacks against networks, the conventional firewalls and encrypting data technologies are no...
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A gradient-enhanced partition-of-unity surrogate model and adaptive sampling strategy for non-analytic functions
We present a gradient-enhanced, partition-of-unity surrogate model and an associated adaptive sampling procedure that performs well for functions...
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Strategy Synthesis in Markov Decision Processes Under Limited Sampling Access
A central task in control theory, artificial intelligence, and formal methods is to synthesize reward-maximizing strategies for agents that operate...
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Sampling efficiency and nucleic acid stability during long-term sampling with different bioaerosol samplers
Aerosol microbiome studies have received increased attention as technological advancements have made it possible to dive deeper into the microbial...
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Modeling and prediction of spindle dynamic precision using the Kriging-based response surface method with a novel sampling strategy
The dynamic precision of the spindle directly affects the machining precision and production efficiency of CNC machine tools. Given the complexity of...
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An Online HIV Self-Sampling Strategy for Gay, Bisexual and Other Men Who Have Sex with Men and Trans Women in Spain
We aimed to evaluate the feasibility of an online self-sampling pilot intervention for HIV testing addressed to gay, bisexual, and other men who have...
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Good Negative Sampling for Triple Classification
Knowledge graphs are large and useful sources widely used for natural question answering, Web search and data analytics. They describe facts about a...
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Random Subspace Sampling for Classification with Missing Data
Many real-world datasets suffer from the unavoidable issue of missing values, and therefore classification with missing data has to be carefully...
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A maximum cost-performance sampling strategy for multi-fidelity PC-Kriging
To reduce the computational cost of uncertainty propagation, multi-fidelity polynomial chaos approaches have been developed by fusing a few expensive...
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Impact of a strategy based on unique blood culture sampling on contamination rate and detection of bloodstream infections in critically ill patients
BackgroundUnique blood culture (UBC) has been proposed to limit the number of venipuncture and to decrease the risk of BC contaminations (BCC)...
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Improved War Strategy Optimization Algorithm Based on Hybrid Strategy
The Standard WSO algorithm has several shortcomings, including uneven distribution of initial population, slow convergence speed, and weak global...