يعرض 41 - 60 نتائج من 302 نتيجة بحث عن '(( elements data algorithm ) OR ((( data testing algorithm ) OR ( solved modeling algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 41

    Fuzzy genetic algorithm for floorplanning حسب Youssef, H.

    منشور في 2020
    "…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …"
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    article
  2. 42

    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …"
  3. 43

    Unsupervised outlier detection in multidimensional data حسب Atiq ur Rehman (14153391)

    منشور في 2022
    "…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …"
  4. 44

    Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment حسب Zakaria Tolba (16904718)

    منشور في 2022
    "…This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …"
  5. 45

    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

    منشور في 2016
    "…Genetic algorithm was chosen as the main methodology to build resource scheduler. …"
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  6. 46

    Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration حسب Al-Yamani, A.

    منشور في 0000
    "…Using SAS, this paper also presents systematic scan reconfiguration, a test data compression algorithm that is applied to achieve 10times to 40 times compression ratios without requiring any information from the automatic-test-pattern-generation tool about the unspecified bits. …"
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    article
  7. 47

    NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM حسب Kamel, M.S.

    منشور في 2020
    "…The performance of the new algorithms is compared with the fuzzy c-means algorithm by testing them on four published data sets. …"
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  8. 48

    Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St... حسب Mohamed Elsayed Saad Aboudonya (18466385)

    منشور في 2024
    "…The sample size consisted of three groups of front-line multidisciplinary obstetric maternal resuscitation teams (physicians, midwives, and nurses) divided into a pre-test group (N=30) and post-test group (N=30). The multidisciplinary resuscitation teams were observed during the cardiac arrest mock drills both before and after conducting the multidisciplinary resuscitation simulation-based training program and the introduction of the maternal resuscitation algorithm pathway against seven KPIs. …"
  9. 49

    The Effects of Data Mining on Small Businesses in Dubai حسب AlMutawa, Rasha

    منشور في 2011
    "…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …"
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  10. 50

    An L2 Gap Metric Identification Algorithm حسب Al-Amer, Samir Hasan

    منشور في 2020
    "…In this paper, an L2-gap metric identification algorithm is proposed. The algorithm uses a set of frequency response samples to come up with rational models so that the L2-gap between the observations and the identified model is minimized. …"
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  11. 51
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    A Geometric-Primitives-Based Compression Scheme for Testing Systems-on-a-Chip حسب El-Maleh, Aiman H.

    منشور في 2001
    "…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data.…"
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  13. 53

    Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts حسب ALSHAMSI, SUROUR

    منشور في 2022
    "…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
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  14. 54

    Capturing outline of fonts using genetic algorithm and splines حسب Sarfraz, M.

    منشور في 2001
    "…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. We also incorporate a corner detection algorithm to detect significant points which are necessary to capture a pleasant looking spline fitting for shapes such as fonts. …"
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    article
  15. 55

    A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

    منشور في 2003
    "…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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  16. 56
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    A static test compaction technique for combinational circuits based on independent fault clustering حسب Osais, Y.E.

    منشور في 2003
    "…Testing system-on-chip involves applying huge amounts of test data, which is stored in the tester memory and then transferred to the circuit under test during test application. …"
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  18. 58

    Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering حسب El-Maleh, Aiman H.

    منشور في 2006
    "…Test compaction is an effective technique for reducing test data volume and test application time. …"
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