يعرض 601 - 620 نتائج من 732 نتيجة بحث عن '(((( elements means algorithm ) OR ( complement custom algorithm ))) OR ( models using algorithm ))', وقت الاستعلام: 0.10s تنقيح النتائج
  1. 601

    Determination Of The Optimal Process Means And Production Cycles For Multistage Production Systems Subject To Process Deterioration حسب Al-Sultan, K.S.

    منشور في 2020
    "…A Hook and Jeeves search algorithm is used to optimize the model, and a numerical example is provided. …"
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    article
  2. 602

    The role of Reinforcement Learning in software testing حسب Amr Abo-eleneen (17032284)

    منشور في 2023
    "…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…"
  3. 603
  4. 604

    Intelligent Hybrid Feature Selection for Textual Sentiment Classification حسب Jawad Khan (6422669)

    منشور في 2021
    "…Finally, for textual sentiment classification, the well-known classification algorithms Support Vector Machine (SVM), Naive Bayes (NB), Generalized Linear Model (GLM) are trained in the ensemble model on the refined sentiment feature set. …"
  5. 605
  6. 606

    Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique حسب Al-Garni, Ahmed Z.

    منشور في 2006
    "…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. …"
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    article
  7. 607
  8. 608

    An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control حسب Mahmoud Dahmani (18810247)

    منشور في 2020
    "…The first three techniques were automatic, employ correlation, and were variants of template matching, whereas the last one uses convolutional neural networks (CNNs). Different metrics to quantitatively evaluate the performance of each algorithm in terms of accuracy and latency were computed and overall comparison is presented. …"
  9. 609

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

    منشور في 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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    article
  10. 610

    " Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach" حسب Al-Hamouz, Z.

    منشور في 2006
    "…Unlike the methods reported in the literature which involve either linearizing the model of synchronous machine around a suitable operation point or applying nonlinear transformation techniques before linear control theory is used in designing a fixed parameter PSS, the present method formulates the design of VSC as an optimization problem and utilized the PSO algorithm to provide a simple and systematic way of arriving at the optimal feedback gains and switching vector values of the stabilizer. …"
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    article
  11. 611

    "Design of Variable Structure Stabilizer for a Nonlinesr Mode of SMIB System: Particle Swarm Approach" حسب Al-Duwaish, H.

    منشور في 2006
    "…Unlike the methods reported in the literature which involve either linearizing the model of synchronous machine around a suitable operation point or applying nonlinear transformation techniques before linear control theory is used in designing a fixed parameter PSS, the present method formulates the design of VSC as an optimization problem and utilized the PSO algorithm to provide a simple and systematic way of arriving at the optimal feedback gains and switching vector values of the stabilizer. …"
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    article
  12. 612

    Net energy–cost optimization of STPV–PDRC integrated greenhouses: Balancing energy production and cooling demand under crop-specific DLI constraints حسب Mohammadreza Gholami (17032317)

    منشور في 2025
    "…This study developed a multi-objective optimization framework integrating passive daytime radiative cooling (PDRC) materials and semi-transparent photovoltaics (STPV) to enhance greenhouse performance under varying daily light integral (DLI) constraints. Using coupled energy simulation, daylight analysis, and cost modeling, we evaluated material configurations across various representative DLI thresholds, reflecting different crop requirements. …"
  13. 613

    Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning حسب Mohamed Elhadary (16329082)

    منشور في 2023
    "…With the significant advancements in machine learning (ML) and artificial intelligence (AI) in recent years, numerous models and algorithms have been proposed to support the diagnosis and classification of CLL. …"
  14. 614

    Adaptive STATCOM Control for a Multi-machine Power System حسب Rahim, A.H.M.A.

    منشور في 2020
    "…Synchronous static compensator (STATCOM) can be used to improve the dynamic performance of a power system. …"
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    article
  15. 615

    Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

    منشور في 2018
    "…In this context, we first propose in this thesis a model providing Intelligent Behavior- Aware Adaptation of Roles using Machine Learning Classification. …"
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    masterThesis
  16. 616
  17. 617

    Area Flexible GF(2k) Elliptic Curve Cryptography Coprocessor حسب Gutub, Adnan

    منشور في 2007
    "…This multiplier hardware is furthermore adjusted to have area flexibility feature, which is used as the basic block in modeling a complete projective coordinate GF(2k) ECC coprocessor.…"
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    article
  18. 618
  19. 619

    Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints حسب Bashar Hassna (19170940)

    منشور في 2024
    "…Utilizing these assessments, a multi-objective optimization model is developed and solved using MATLAB (R2018a)’s Genetic Algorithm, aiming to identify optimal suppliers to meet Qatar’s food demand, with consideration of the economic, environmental, and risk factors. …"
  20. 620