Showing 81 - 100 results of 104 for search '(((( element method algorithm ) OR ( element te algorithm ))) OR ( implement making algorithm ))', query time: 0.11s Refine Results
  1. 81

    On the exact recovery of the FFT of noisy signals using a non-subtractively dither-quantized input channel by Cheded, L.

    Published 2003
    “…This theory, tested with a 1-bit quantization scheme and under very noisy environments is very well supported by our simulation results. This makes the possibility of a hardware implementation of a 1-bit FFT chip a goal worth pursuing.…”
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    article
  2. 82

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

    Published 2001
    “…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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    article
  3. 83

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

    Published 2001
    “…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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    article
  4. 84
  5. 85

    Improving the Secure Socket Layer Protocol by modifying its Authentication function by El-Kassar, A. N.

    Published 2017
    “…This modification would use only double the time needed for the usual implementation of RSA with key size of 1024 bits.…”
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    conferenceObject
  6. 86
  7. 87

    Applications of fast fourier transform in the integrity evaluation of deep foundations by Abi Shdid, Caesar

    Published 2016
    “…For this reason, states have implemented specific procedures to follow when performing inspections of deep foundations. …”
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    article
  8. 88

    Recent advances on artificial intelligence and learning techniques in cognitive radio networks by Abbas, Nadine

    Published 2015
    “…This paper also discusses the cognitive radio implementation and the learning challenges foreseen in cognitive radio applications.…”
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    article
  9. 89

    Approximate XML structure validation based on document–grammar tree similarity by Tekli, Joe

    Published 2015
    “…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…”
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    article
  10. 90

    Approximate XML structure validation technical report by Tekli, Joe

    Published 2014
    “…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…”
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    article
  11. 91

    Using artificial bee colony to optimize software quality estimation models. (c2015) by Abou Assi, Tatiana Antoine

    Published 2016
    “…In order to measure such software quality characteristics, we must wait until the software is implemented, tested and put to use for a certain amount of time. …”
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    masterThesis
  12. 92

    UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks by Ebrahimi, Dariush

    Published 2018
    “…Among the emerging markets, Internet of Things (IoT) use cases are standing out with the proliferation of a wide range of sensors that can be configured to continuously monitor and transmit data for intelligent processing and decision making. Devices in such scenarios are normally extremely energy-constrained and often exist in large numbers and can be located in hard-to-reach areas; the fact that necessitates the design and implementation of effective energy-aware data collection mechanisms. …”
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    article
  13. 93
  14. 94

    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

    Published 2024
    “…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”
  15. 95

    The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions by Abdulmalik Alwarafy (17984104)

    Published 2022
    “…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …”
  16. 96

    An efficient cache replacement strategy for the hybrid cache consistency approach by Haraty, Ramzi A.

    Published 2010
    “…Nevertheless, caching has its limitations too, due to the limited cache size and the limited bandwidth, which makes the implementation of cache replacement strategy an important aspect for improving the cache consistency algorithms. …”
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    article
  17. 97

    After generative AI : preparing faculty to transform education, learning, and pedagogy by Hardey, Mariann

    Published 2025
    “…Going beyond basic explanations, Hardey and Aad provide practical insights and implementation strategies that recognize the concerns and ethical challenges related to GAI, such as bias in algorithms, privacy issues, and the need for inclusivity. …”
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    bookPart
  18. 98
  19. 99

    Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah (21399854)

    Published 2024
    “…AI algorithms, known for their cognitive ability and capacity to learn, adapt, and make decisions, are employed to analyze and forecast student performance, thereby improving educational quality and outcomes. …”
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