Identification and sampling
Identification of Respiratory Viruses in Adults: Nasopharyngeal versus Oropharyngeal Sampling
... the identification rates in the study groups and focused only on the methodological issue of the relative sen- sitivity of the three sampling methods for the identification of respiratory ...of ...
5
Auto-updating of sampling time redesign for system identification under parameter uncertainty
... of sampling strategy has been studied to improve design robustness under model uncertainties. With this method, the whole design time horizon is divided into several zones. Parameter estimation is made with the ...
6
Online Identification of Multi-Attribute High-Volume Traffic Aggregates Through Sampling
... Reservoir Sampling Algorithm and Identification of Single- Attribute Aggregates The attacking traffic is often a collection of high-volume aggregates on limited address/port ...
6
Methods of antemortem sampling for identification of microbial agents in bovine respiratory disease (BRD)
... exposure. Identification of a 4-fold increase (that is, two 2-fold dilutions) in antibody titer between an acute and a convalescent sample (collected 2 to 4 weeks after the acute sample) suggests recent ...by ...
8
The sampling and identification of components in volatile organic mixtures
... A brief critical review of the literature is presented describing concentration and trapping techniques, headspace collection, separation and analytical techniques, detection and meas[r] ...
216
Identification and inference in a simultaneous equation under alternative information sets and sampling schemes
... the …nite sample distribution of IV from its standard asymptotic approximation is the sampling scheme. Conditioning on exogenous regressors aggravates the anomalies of IV. It leads more often to the occurrence of ...
37
Robust Content Identification and De-Duplication with Scalable Fisher Vector In video with Temporal Sampling
... In an uncontrolled video event and action, recognition is very challenging due to some variations like duration of action performed. Background Clutter is the other factor in image recognition. Motion clutter and camera ...
53
Identification of cell types in a mouse brain single-cell atlas using low sampling coverage
... Background: High throughput methods for profiling the transcriptomes of single cells have recently emerged as transformative approaches for large-scale population surveys of cellular diversity in heterogeneous primary ...
10
Identification of cell types in a mouse brain single-cell atlas using low sampling coverage.
... Aparna Bhaduri 1,2* , Tomasz J Nowakowski 1,2,3 , Alex A Pollen 1,2 and Arnold R Kriegstein 1,2* Abstract Background: High throughput methods for profiling the transcriptomes of single cells have recently emerged as ...
11
Data Sampling and Reasoning: Harnessing Optimization and Machine Learning for Design and System Identification
... Damage Identification Using Piezoelectric Impedance Measurement with Sparse Inverse Analysis The impedance/admittance measurements of a piezoelectric transducer bonded to or embedded in a host structure can be ...
236
The relative importance of perceptual and memory sampling processes in determining the time course of absolute identification
... The purpose of the two experiments reported was to test a key prediction of the EGCM-RT as applied to absolute identification (Kent & Lamberts, 2005, 2016). The EGCM-RT predicts that reducing the time available ...
55
The relative importance of perceptual and memory sampling processes in determining the time course of absolute identification
... The purpose of the two experiments reported was to test a key prediction of the EGCM-RT as applied to absolute identification (Kent & Lamberts, 2005, 2016). The EGCM-RT predicts that reducing the time ...
83
Biologic Air-Borne Particle Detection, Sampling, and Identification
... The AirSentinel is a trigger type air sampler. This means that the air sampler only collects a sample when it detects an elevated level of biological particles from the established background. It samples approximately 40 ...
6
A TECHNIQUE WITH DIFFERENTIATED SAMPLING IN ANOMALY DETECTION SYSTEM FOR OUTLIER IDENTIFICATION
... By this reason, an outlier may be defined as the data point which is highly unique from the rest of the data instances, based on some predefined measure. And therefore, several outlier detection schemes are proposed in ...
12
Stack Sampling Stack sampling or source sampling
... • Determination of the traverse point required for a velocity and temperature profile across the cross section of the stack and sampling for particulate matter... Schematic Diagram – Sam[r] ...
48
Sampling and Sampling Distributions
... Other Sampling Designs Simple random sampling is the most natural and easily understood method of probability sampling — it corresponds to our intuitive notion of random selection by ...random ...
9
SAMPLING DESIGNS - RANDOM SAMPLING, ADAPTIVE AND SYSTEMATIC SAMPLING
... of sampling may give the correct results under the right ...of sampling because they can not be evaluated by the theorems of probability ...random sampling, and the ecologist is often forced to use ...
56
3. Soil Sampling and Processing. Composite Sampling Soil Sampling
... soil sampling, is often ignored or poorly considered. A good sampling plan should provide a measure of the average fertility level of a field and a measure of how variable it ...field sampling is ...
Chapter 3. Sampling. Sampling Methods
... convenience sampling; as for example, a study of veno-occlusive episodes in patients of sickle cell anaemia attending the investigator's outpatients ...non-probability sampling will occur in most ...
14
Capture – Recapture Sampling and Indirect Sampling
... We want to estimate the number N B of child tea vendors and their total daily income Y B . Obviously, there is no sampling frame for the target population U B of child tea vendors. We must therefore use indirect ...
27