Sentence examples for in depth detection from inspiring English sources

It is interesting that the error in depth detection ΔZ is consistently smaller than ΔR (see Table 1).

Validating lesion depth detection in in vitro studies can be accomplished reliably by sectioning the observed teeth and estimating lesion depth using magnification (microscope, magnifying glasses, computer screen).

Moreover, the use of diffuse optical tomography (DOT) could be an alternative to our approach since it should result both in an increase of depth detection and in an improvement of spatial resolution.

We previously designed a push pull perceptual training protocol that effectively reduces sensory eye dominance (SED) and enhances binocular depth detection in human adults (Xu, He, & Ooi, 2010a).

In live tissue preparations the accuracy of depth detection was around 1 mm for the periodic sources and around 2 mm for single wave detection (Table 1).

Clearly, the use of STL-6014 in the clinical setting is limited by the optical technologies required for in-depth 3 D tumor detection.

In future work, we plan to conduct an extensive study to determine the effectiveness of machine-learning based solutions for network intrusion detection, focusing on performance of real-time cloud-based intrusion detection techniques, swifter and more effective training, and in-depth comparisons of existing network intrusion detection solutions.

This is the first in-depth study of allelic imbalance detection in ChIP-seq and DNase-seq data that empirically tested the effects of key aspects of these analyses including genotype availability, read length, alignment parameters, imputation parameters, and requirements for predicting heterozygous sites.

FMT imaging offered clear advantages in the depth of detection throughout the paw and ankle, as shown by tomographic slices and the ability to clearly establish a pattern of disease with a significantly larger region of inflammation in the ankles than in the rest of the arthritic paw.

We propose a traffic flooding attack detection and an in-depth analysis system that uses data mining techniques.

This work aims at contributing with an in-depth study of SBM for fault detection considering these two design aspects.