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method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
يعرض 201 - 220 نتائج من 1,070 نتيجة بحث عن '(((( data using algorithm ) OR ( problem using algorithm ))) OR ( elements method algorithm ))*', وقت الاستعلام: 0.14s تنقيح النتائج
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    Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study حسب Alkhodari, Mohanad Ahmed

    منشور في 2021
    "…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …"
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    article
  6. 206

    Power-constrained system-on-a-chip test scheduling using a genetic algorithm حسب Harmanani, Haidar M.

    منشور في 2006
    "…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. …"
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    article
  7. 207

    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

    منشور في 2020
    "…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …"
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    article
  8. 208

    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

    منشور في 2020
    "…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …"
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    article
  9. 209

    A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm حسب Abu Zitar, Raed

    منشور في 2021
    "…In this paper, the economic load dispatch (ELD) problem with valve point effect is tackled using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm and β-hill climbing optimizer as a single point-based algorithm. …"
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  10. 210

    Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm حسب Saima Hassan (14918003)

    منشور في 2022
    "…The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. Tuning of the consequent part parameters are accomplished using extreme learning machine. …"
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    Using out-of-core techniques to produce exact solutions to the maximum clique problem on extremely large graphs حسب Abu-Khzam, Faisal N.

    منشور في 2017
    "…Practical methods are presented for computing exact solutions to the maximum clique problem on graphs that are too large to fit within core memory. …"
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    conferenceObject
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    Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations حسب Shameem A. Puthiya Parambath (14150997)

    منشور في 2022
    "…The best available recommendation algorithms are based on using the observed preference information among collaborating entities. …"
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    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering حسب Saadia Jamil (22045946)

    منشور في 2024
    "…A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …"
  19. 219

    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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  20. 220

    An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

    منشور في 2021
    "…The Support Vector Machine (SVM) algorithm is used for classification and the average F-Score is used as fitness function and target condition. …"