Showing 581 - 600 results of 639 for search '(((( data learning algorithm ) OR ( designed using algorithm ))) OR ( element data algorithm ))', query time: 0.12s Refine Results
  1. 581

    Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

    Published 2020
    “…They then present a numerical controller design algorithm based on the derived bounds. Examples are used for demonstration.…”
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    article
  2. 582

    Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

    Published 2020
    “…They then present a numerical controller design algorithm based on the derived bounds.Examples are used for demonstration.…”
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    article
  3. 583

    On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach by Md. Sihab Uddin (17542488)

    Published 2022
    “…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …”
  4. 584

    Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System by Abdelbaset Laib (16904688)

    Published 2022
    “…An optimal hybrid interval Type-2 fuzzy PID+I logic controller (OH-IT2FPID+I) using a practical swarm optimization algorithm for a multi-degree-of-freedom oil well drill-string system is proposed in this paper. …”
  5. 585

    AUTOMATIC WEINBERGER ARRAY SYNTHESIS FROM UAHPL DESCRIPTION by Sait, Sadiq M.

    Published 2020
    “…The system also minimizes the area required by the WA by performing row compaction. An algorithm similar to that used for channel routing is employed for compaction (Hashimoto and Stevens 1971). …”
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    article
  6. 586

    Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants by Surbhi Choudhary (21633701)

    Published 2024
    “…It also provides implications for tech-managers and algorithm designers to build effective voice technology for superior user experience.…”
  7. 587

    Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition by Abboud, Ralph

    Published 2019
    “…Unlike existing solutions, MUSEC is: (i) a hybrid crossover between supervised learning (SL, to learn sentiments from music) and evolutionary computation (for music composition, MC), where SL serves at the fitness function of MC to compose music that expresses target sentiments, (ii) extensible in the panel of emotions it can convey, producing pieces that reflect a target crisp sentiment (e.g., love) or a collection of fuzzy sentiments (e.g., 65% happy, 20% sad, and 15% angry), compared with crisp-only or two-dimensional (valence/arousal) sentiment models used in existing solutions, (iii) adopts the evolutionary-developmental model, using an extensive set of specially designed music-theoretic mutation operators (trille, staccato, repeat, compress, etc.), stochastically orchestrated to add atomic (individual chord-level) and thematic (chord pattern-level) variability to the composed polyphonic pieces, compared with traditional evolutionary solutions producing monophonic and non-thematic music. …”
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  8. 588

    Combined cycle gas turbine system optimization for extended range electric vehicles by Barakat, Aya A.

    Published 2020
    “…The two-steps methodology consists of conducting first an exergo-technological analysis using a Non-dominated Sorting Genetic Algorithm to identify the best suitable combined cycle configuration for integration in a series hybrid powertrain. …”
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  9. 589

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…In this context, the notion of fog computing has been projected to furnish data analytics and decision-making closer to the IoT devices. …”
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    masterThesis
  10. 590
  11. 591

    Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review by Hiba Alzoubi (18001609)

    Published 2025
    “…</p><h3>Conclusion</h3><p dir="ltr">AI algorithms show promise in detecting and subtyping medulloblastomas, but the findings are limited by overreliance on one dataset, small sample sizes, limited study numbers, and lack of meta-analysis Future research should develop larger, more diverse datasets and explore advanced approaches like deep learning and foundation models. …”
  12. 592

    Industrial Internet of Things enabled technologies, challenges, and future directions by Shams Forruque, Ahmed

    Published 2023
    “…A blockchain-based security framework for the cement sector can resolve 51% of security issues and Sybil attacks caused by consensus algorithms like Proof of Work (PoW). Major companies' performance depends on well-designed IIoT infrastructure, despite significant challenges. …”
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  15. 595

    THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar by M. Walid Qoronfleh (14153088)

    Published 2020
    “…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …”
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  18. 598

    FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT by Sait, Sadiq M.

    Published 2006
    “…Simulated Evolution (SE) a general iterative heuristic is used to traverse the large search space, while fuzzy logic is resorted to assist in multi-criteria decision making and overcome the imprecise nature of design information at placement stage. …”
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    article
  19. 599

    PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits by Hind Almerekhi (7434776)

    Published 2022
    “…Before finding toxicity triggers, we built and evaluated various machine learning models to detect toxicity from Reddit comments. …”
  20. 600

    Industrial Internet of Things enabled technologies, challenges, and future directions by Shams Forruque Ahmed (16517712)

    Published 2023
    “…A blockchain-based security framework for the cement sector can resolve 51% of security issues and Sybil attacks caused by consensus algorithms like Proof of Work (PoW). Major companies' performance depends on well-designed IIoT infrastructure, despite significant challenges. …”