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igdt optimization » _ optimization (توسيع البحث)
يعرض 141 - 160 نتائج من 539 نتيجة بحث عن '(( based optimization algorithm ) OR ( igdt optimization algorithm ))*', وقت الاستعلام: 0.09s تنقيح النتائج
  1. 141

    Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation حسب Abualigah, Laith

    منشور في 2023
    "…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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  2. 142
  3. 143

    Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm حسب Dehkordi, Amin Abdollahi

    منشور في 2024
    "…This novel alternative optimisation strategy (CCMPA-GS) compared with 13 established genetic, evolutionary, swarm, and memetic meta-heuristic optimisation algorithms. The comparison is based on optimising two large-scale truss structures consisting of 260-bar and 314-bar configurations. …"
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  4. 144
  5. 145

    Detecting sleep outside the clinic using wearable heart rate devices حسب Ignacio Perez-Pozuelo (14153007)

    منشور في 2022
    "…We developed and tested a heart rate-based algorithm that captures inter- and intra-individual sleep differences in free-living conditions and does not require human input. …"
  6. 146

    Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques حسب Abd-El-Barr, Mostafa

    منشور في 2003
    "…Existing enumeration-based techniques for solving this network optimization problem ignore the fault-tolerance aspect in their solution. …"
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    article
  7. 147

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

    منشور في 2022
    "…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …"
  8. 148

    Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques حسب Abd-El-Barr, Mostafa

    منشور في 2003
    "…We consider the use of three iterative techniques, namely tabu search, simulated annealing, and genetic algorithms, in solving the multiobjective topological optimization network design problem. …"
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    article
  9. 149

    Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling حسب Majed Hadid (17148364)

    منشور في 2022
    "…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …"
  10. 150

    Enhancing fairness and scalability in IOTA tangle networks: a POMDP-based tip selection algorithm for decentralized systems حسب Mays Alshaikhli (22564811)

    منشور في 2025
    "…This study presents a novel Partially Observable Markov Decision Process (POMDP)-based Tip Selection Algorithm (TSA) to optimize fairness in the IOTA Tangle. …"
  11. 151

    An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

    منشور في 2022
    "…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …"
  12. 152

    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques حسب Abu Zitar, Raed

    منشور في 2022
    "…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …"
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  13. 153
  14. 154

    A Novel Link-based Multi-objective Grey Wolf Optimizer for Appliances Energy Scheduling Problem حسب Abou Doush, Iyad

    منشور في 2022
    "…For comparative purposes, the same linked-based neighbourhood selection strategy is utilized with other three optimization algorithms, including particle swarm optimization, salp swarm optimization, and wind-driven algorithm. …"
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  15. 155
  16. 156

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
  17. 157

    Gene Selection for Microarray Data Classification based on Grey Wolf Optimizer Enhanced with TRIZ-inspired Operators حسب Abou Doush, Iyad

    منشور في 2021
    "…Pattern recognition algorithms are widely applied to gene expression data to differentiate between health and cancerous patient samples. …"
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  18. 158

    Fuzzy Logic Adaptive Crow Search Algorithm for MPPT of a Partially Shaded Photovoltaic System حسب Mohamed Ali Zeddini (22047920)

    منشور في 2024
    "…<p dir="ltr">The arbitrary selection of the Crow Search Algorithm (CSA) parameters, the Awareness Probability (AP) and the Flight Length (fl) results in poor convergence performance and efficiency even if the CSA performs well when solving global optimization problems. …"
  19. 159

    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function حسب Mujahid, S.N.

    منشور في 2020
    "…A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. …"
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    article
  20. 160

    Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function حسب Duffuaa, S. O.

    منشور في 2020
    "…A fuzzy relation between observed/input parameters and required/output characteristics is proposed. A genetic algorithm is developed to obtain optimal process targets. …"
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    article