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Showing 1 - 6 results of 6 for search '(((( query learning algorithm ) OR ( elements rd algorithm ))) OR ( self scheduling algorithm ))', query time: 0.08s Refine Results
  1. 1
    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

    Published 2007
    “…This paper presents an efficient method for concurrent built-in self-test synthesis and test scheduling in high-level synthesis. …”
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  2. 2
    Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data

    Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data by Rajesh Kumar Dhanaraj (19646269)

    Published 2021
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  3. 3
    Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection

    Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection by Alok Singh Chauhan (8264985)

    Published 2023
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  4. 4
    Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study

    Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study by Alaa Abd-alrazaq (17058018)

    Published 2024
    “…</p><h3>Objective</h3><p dir="ltr">In this paper, we propose a machine learning–based approach for identifying research gaps through the analysis of scientific literature. …”
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  5. 5
    Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis

    Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis by Hassan Ali (3348749)

    Published 2023
    “…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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  6. 6
    Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis

    Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis by Hassan, Ali

    Published 2023
    “…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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