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  1. 1
    Regression Testing of Database Applications

    Regression Testing of Database Applications by Haraty, Ramzi A.

    Published 2001
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  2. 2
    Intelligent Multi-Sensor Process Condition Monitoring

    Intelligent Multi-Sensor Process Condition Monitoring by Hammad, Firas

    Published 2007
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  3. 3
    A genetic algorithm for corrective retesting. (c1995)

    A genetic algorithm for corrective retesting. (c1995) by Fakih, Khaled A.

    Published 1995
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  4. 4
    Parallel Implementations for Eliminating Finite State Machine Mutants

    Parallel Implementations for Eliminating Finite State Machine Mutants by Badawi, Emad Mohammad

    Published 2017
    Subjects: “…Model Based Testing…”
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  5. 5
    ELISSAR. (c1997)

    ELISSAR. (c1997) by Nasreddine, Diana M.

    Published 1997
    Subjects: “…Testing -- Data processing…”
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  6. 6
    Test insertion at the RT level using functional test metrics

    Test insertion at the RT level using functional test metrics by Harmanani, H.

    Published 2017
    “…The design is modified by inserting additional test registers followed by a test selection process. …”
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  7. 7
    Detailed organic characterization of process water to evaluate reverse osmosis membrane fouling in industrial wastewater treatment

    Detailed organic characterization of process water to evaluate reverse osmosis membrane fouling in industrial wastewater treatment by Minier-Matar, Joel

    Published 2024
    Subjects: “…Process water…”
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  8. 8
    The child creativity test (TCI)

    The child creativity test (TCI) by Sanchez-Ruiz, Maria-Jose

    Published 2016
    “…This paper presents the theoretical foundations as well as the process of designing, developing, and validating the test through different studies. …”
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  9. 9
    Arabic Dialect Speech-Text Recognition Using Deep Learning

    Arabic Dialect Speech-Text Recognition Using Deep Learning by RAEIALBOOM, OMAR SALEH DARWISH

    Published 2024
    “…Traditional speech recognition models struggle in this domain, prompting an exploration of deep learning approaches, specifically the TestRCNN and Hybrid TestRCNN-CNN Models. The research begins with a comprehensive preprocessing process, which involves loading audio data, extracting features using Mel-Frequency Cepstral Coefficients (MFCCs), and encoding labels. …”
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  10. 10
    Web application testing. (c2001)

    Web application testing. (c2001) by Ukaily, Wail

    Published 2001
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  11. 11
    Autocorrelation of the trade process

    Autocorrelation of the trade process by Ben Sita, Bernard

    Published 2010
    “…This refined model is an extension of the one developed by Madhavan, Richardson, and Roomans (1997) and allows parameters characterizing the arrival rate of new information to be derived. Testing this model with data from the Helsinki Stock Exchange, I was able to determine that a model ignoring trading intensity effects on price changes would underestimate the transitory effects of the trade process. …”
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  12. 12
    RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations

    RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations by Kateryna Tymoshenko (19691680)

    Published 2017
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  13. 13
    Antiplane Shear Fracture Tests (Mode III)

    Antiplane Shear Fracture Tests (Mode III) by Tabbara, Mazen

    Published 1990
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  14. 14
    Robustness testing of composed real-time systems

    Robustness testing of composed real-time systems by Fouchal, Hacène

    Published 2010
    “…In this paper, we suggest a methodology for testing robustness of Real-Time Component-Based Systems (RTCBS). …”
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  15. 15
    Regression test selection for trusted database applications

    Regression test selection for trusted database applications by Haraty, Ramzi A.

    Published 2006
    “…This paper presents algorithms for regression testing for trusted database applications. Our proposed algorithms automate an important portion of the regression testing process, and they operate more efficiently than most other regression test selection algorithms. …”
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  16. 16
    Software tool for regression testing. (c1997)

    Software tool for regression testing. (c1997) by Araby, Nidal H.

    Published 1997
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  17. 17
    On the metals compatibility assessment for oxygen service

    On the metals compatibility assessment for oxygen service by Vasanth C. Shunmugasamy (10474766)

    Published 2022
    “…The historical test data for four important metallic alloys frequently used in the oil and gas industry, namely nickel alloys C276 and 600, stainless steel 304 and 316, are mined and analyzed to: (i) capture trends and correlation of data obtained by these two tests with the PV curves, (ii) identify gaps in the data for critical process variables such as temperature, pressure and gas velocity, (iii) identify limitations of the two tests, (iv) understand the relevance of shape factors and geometry of test samples and flowing vs. non-flowing conditions on test results and (v) evaluate whether exemption pressures and PV curves can be extended or adjusted for important metals to accommodate more demanding conditions. …”
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  18. 18
    Correlating process parameters to thrust forces and torque in the friction stir processing of AZ31B

    Correlating process parameters to thrust forces and torque in the friction stir processing of AZ31B by Ammouri, Ali

    Published 2014
    “…Introduced in this work are correlations that capture the behavior of thrust force and torque vs. input process parameters in friction stir processing (FSP) of twin-roll cast (TRC) AZ3 IB. …”
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  19. 19
    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing

    Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing by Al Sadawi, Alia

    Published 2016
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  20. 20
    An Efficient Test Relaxation Technique for Synchronous Sequential Circuits

    An Efficient Test Relaxation Technique for Synchronous Sequential Circuits by El-Maleh, Aiman H.

    Published 2004
    “…In addition, the relaxation process can identify selfinitializing test sequences for synchronous sequential circuits. …”
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