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  1. 1
    An enhanced quorum selection algorithm

    An enhanced quorum selection algorithm by Haraty, Ramzi A.

    Published 2009
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  2. 2
    An Improved Quorum Selection Algorithm

    An Improved Quorum Selection Algorithm by Haraty, Ramzi A.

    Published 2008
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  3. 3
    An improved quorum selection algorithm (IQSA). (c2007)

    An improved quorum selection algorithm (IQSA). (c2007) by Younes, Samer

    Published 2007
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  4. 4
    Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms

    Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms by Abdelouahed Hamdi (14158899)

    Published 2022
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  5. 5
    A novel design technique for generating building form

    A novel design technique for generating building form by KAYED, MAYS N. A.

    Published 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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  6. 6
    Towards Resiliency Enhancement of Network of Grid-Forming and Grid-Following Inverters

    Towards Resiliency Enhancement of Network of Grid-Forming and Grid-Following Inverters by Silvanus D'silva (19273852)

    Published 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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  7. 7
    Bootstrap-based Aggregations and their Stability in Feature Selection

    Bootstrap-based Aggregations and their Stability in Feature Selection by Salman, Reem Elfatih

    Published 2022
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  8. 8
    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines

    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines by Ali, Mustafa

    Published 2015
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  9. 9
    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy

    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

    Published 2024
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  10. 10
    Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs

    Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs by Kouatli, Issam

    Published 2008
    “…Findings – A simplified business decision‐making application was described and the proposed selection methodology was explained in the form of an example. …”
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  11. 11
    Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems

    Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems by Mahmood, Lubna Syeda

    Published 2021
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  12. 12
    Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines

    Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines by Saleh, Ayat

    Published 2017
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  13. 13
    A Novel Generative Design System for Ceiling Lighting Layouts

    A Novel Generative Design System for Ceiling Lighting Layouts by Alhamarna, Sara

    Published 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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  14. 14
    Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning

    Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning by Amer, Hala Nagi

    Published 2024
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  15. 15
    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering

    Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering by Saadia Jamil (22045946)

    Published 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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  16. 16
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 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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  17. 17
    On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network

    On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network by Nasru Minallah (9427338)

    Published 2020
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  18. 18
    Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls

    Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls by SANAD, AYMAN ADEL AHMED

    Published 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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  19. 19
    Gesture-based Graph-theoretic Robot Formation Control

    Gesture-based Graph-theoretic Robot Formation Control by Sajid, Mahroo

    Published 2022
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  20. 20
    Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids

    Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids by Alshaal, Dima

    Published 2025
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