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   Articles with "test data" as a keyword



Combining binomial test data via two‐stage solutions

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recommendations! Published in 2018 at "Applied Stochastic Models in Business and Industry"

DOI: 10.1002/asmb.2255

Abstract: A commonly occurring problem in reliability testing is how to combine pass/fail test data that is collected from disparate environments. We have worked with colleagues in aerospace engineering for a number of years where two… read more here.

Keywords: data via; test data; via two; binomial test ... See more keywords

Application of deep learning models to generate rich, dynamic and production-like test data

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recommendations! Published in 2024 at "Empirical Software Engineering"

DOI: 10.1007/s10664-024-10541-w

Abstract: Traditionally, software development teams in many industries have used copies of production databases or their masked, anonymized, or obfuscated versions for testing. However, privacy protection regulations, for example, the General Data Protection Regulation (GDPR), prohibit… read more here.

Keywords: test data; like test; language; production like ... See more keywords
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Estimation of hydraulic parameters of an unconfined aquifer by using geoelectrical and pumping test data: a case study of the Mandi Bahauddin District, Pakistan

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recommendations! Published in 2020 at "Arabian Journal of Geosciences"

DOI: 10.1007/s12517-020-05488-3

Abstract: This study uses a geophysical technique to predict the future availability of water resources in Pakistan. When combined with pumping test data, this method can be used to delineate an aquifer system to determine the… read more here.

Keywords: aquifer; test data; bahauddin district; pumping test ... See more keywords

Determination of site-specific soil-water characteristic curve from a limited number of test data – A Bayesian perspective

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recommendations! Published in 2018 at "Geoscience Frontiers"

DOI: 10.1016/j.gsf.2017.10.014

Abstract: Abstract Determining soil–water characteristic curve (SWCC) at a site is an essential step for implementing unsaturated soil mechanics in geotechnical engineering practice, which can be measured directly through various in-situ and/or laboratory tests. Such direct… read more here.

Keywords: site specific; test data; number; site ... See more keywords

Fitting fatigue test data with a novel S-N curve using frequentist and Bayesian inference

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recommendations! Published in 2017 at "International Journal of Fatigue"

DOI: 10.1016/j.ijfatigue.2017.08.024

Abstract: In design against fatigue, a lower bound stress range vs. endurance curve (S-N curve) is employed to characterize fatigue resistance of plain material and structural details. With respect to the inherent variability of the fatigue… read more here.

Keywords: curve; test data; fatigue test; fatigue limit ... See more keywords

Quantitative comparison of fifteen rock failure criteria constrained by polyaxial test data

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recommendations! Published in 2017 at "Journal of Petroleum Science and Engineering"

DOI: 10.1016/j.petrol.2017.09.065

Abstract: Abstract Failure criterion is a mathematical relationship with respect to applied stresses on rocks which shows the ultimate strength of rocks. Up until now, different investigations have been devoted for preparation of failure criteria. In… read more here.

Keywords: rock failure; test data; failure criteria; failure ... See more keywords

Efficacy of several statistical methods in differentiating TBI and co-occurring conditions: A replication study.

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recommendations! Published in 2022 at "Applied neuropsychology. Adult"

DOI: 10.1080/23279095.2022.2109028

Abstract: OBJECTIVES (1) Cross-validation of neuropsychological test data sets of moderate-severe TBI (N = 30) with test data from moderate-severe (N = 74); somatization (N = 24) and PCS (N = 22) cases in a database, (2) Determine if cognitive test data sets alone… read more here.

Keywords: moderate severe; tbi occurring; efficacy several; test data ... See more keywords

A new approach on constitutive modeling for quasi-brittle materials under multiaxial loading

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recommendations! Published in 2024 at "Journal of Statistical Mechanics: Theory and Experiment"

DOI: 10.1088/1742-5468/ad6d4a

Abstract: This work introduces a new method for expanding unidimensional models to predict material behavior under multiaxial loading. The concept of six-dimensional mechanical space is adopted, and in each basis direction of the space, there is… read more here.

Keywords: space; damage; test data; new approach ... See more keywords

Automated Software Test Data Generation With Generative Adversarial Networks

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3153347

Abstract: With the rapid increase of software scale and complexity, the cost of traditional software testing methods will increase faster than the scale of software. In order to improve test efficiency, it is particularly important to… read more here.

Keywords: software; data generation; test; generative adversarial ... See more keywords

A Secure JTAG Wrapper for SoC Testing and Debugging

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3164712

Abstract: IEEE Std. 1149.1, also known as the Joint Test Access Group (JTAG) standard, provides excellent controllability and observability for ICs and hence is widely used in IC testing, debugging, failure analysis, or even online chip… read more here.

Keywords: secure jtag; test; jtag wrapper; jtag ... See more keywords

Uni3DA: Universal 3D Domain Adaptation for Object Recognition

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recommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3202213

Abstract: Traditional 3D point cloud classification tasks focus on training a classifier in the closed-set scenario, where training and test data have the same label set and the same data distribution. In this work, we focus… read more here.

Keywords: adaptation; label set; universal domain; domain ... See more keywords