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formed selection » greedy selection (توسيع البحث)
يعرض 1 - 20 نتائج من 41 نتيجة بحث عن 'formed selection algorithm*', وقت الاستعلام: 0.06s تنقيح النتائج
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    A novel design technique for generating building form حسب KAYED, MAYS N. A.

    منشور في 2018
    "…The theoretical framework of the technique was successfully tested out and validated by implementing it over serious of examples that are categorized into three groups: examples directed to test out the proposed variables in each process, examples directed to validate the ability of whole technique to generate forms for a hypothetical project requirements and examples of scripting the mechanisms using the algorithmic editor interface and the visual programming language Grasshopper incorporated with Rhinoceros 3D software."…"
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    Towards Resiliency Enhancement of Network of Grid-Forming and Grid-Following Inverters حسب Silvanus D'silva (19273852)

    منشور في 2023
    "…Moreover, the proposed self-ranking-based coordinated mode selection algorithm dynamically reconfigures the inverter's operation mode (either GFM or GFL) to enhance the PEDG resiliency in response to events and ensure GFM inverter allocation in grid clusters. …"
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    Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs حسب Kouatli, Issam

    منشور في 2008
    "…An irregular shape may be required by some systems. Hence, a genetic algorithm was proposed as a methodology to optimize the performance of fuzzy systems by mutating different regular shapes. …"
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    article
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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. …"
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    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

    منشور في 2023
    "…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"
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    A Novel Generative Design System for Ceiling Lighting Layouts حسب Alhamarna, Sara

    منشور في 2020
    "…The dissertation suggests a novel design approach that generates reflected ceiling layouts. Presenting an algorithmic system scripted Dynamo in the form of a BIM plug-in. …"
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    Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health حسب Jinit Masania (7164239)

    منشور في 2019
    "…Machine learning was applied to optimise and validate algorithms to discriminate between study groups for potential diagnostic utility. …"
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    Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls حسب SANAD, AYMAN ADEL AHMED

    منشور في 2025
    "…Annual simulations are used to assess seasonal variations, while sensitivity analysis identifies key parameters. A genetic algorithm and multi-objective optimisation (MOO) simulations are used to generate optimal configurations, summarised in the form of a Pareto front selection criteria guide the choice of the optimum solution, which is then applied and analysed in a case study. …"
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