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Showing 1 - 20 results of 326 for search '(( elements network algorithm ) OR ((( data rd algorithm ) OR ( based machine algorithm ))))', query time: 0.20s Refine Results
  1. 1
    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network

    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

    Published 2024
    “…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …”
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  2. 2
    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
    Subjects: “…Model Based Testing…”
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  3. 3
    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms

    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

    Published 2021
    “…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …”
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  4. 4
    Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology

    Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology by Senyuk, Mihail

    Published 2023
    “…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …”
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  5. 5
    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems

    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

    Published 2022
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  6. 6
    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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  7. 7
    A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System

    A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System by Ameema Zainab (16864263)

    Published 2021
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  8. 8
    POWER SYSTEM STABILIZER FOR MULTI-MACHINE POWER SYSTEMS BASED ON FUZZY LOGIC CONTROL AND ARTIFICIAL BEE COLONY ALGORITHM

    POWER SYSTEM STABILIZER FOR MULTI-MACHINE POWER SYSTEMS BASED ON FUZZY LOGIC CONTROL AND ARTIFICIAL BEE COLONY ALGORITHM by unknown

    Published 2020
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  9. 9
    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique

    Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)

    Published 2024
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  10. 10
    Design of acoustic absorbing metasurfaces using a data-driven approach

    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
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  11. 11
    Estimating Construction Project Duration Using a Machine Learning Algorithm

    Estimating Construction Project Duration Using a Machine Learning Algorithm by Nasr, Joshua

    Published 2024
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  12. 12
    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms

    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms by Humna Khan (17541972)

    Published 2022
    “…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …”
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  13. 13
    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification

    Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification by Rajendra Babu Chikkala (22330876)

    Published 2025
    “…In this study, we introduce an innovative method for the multi-classification of breast cancer histopathological images utilizing Bidirectional Recurrent Neural Networks (BRNN). The BRNN structure consists of four unique elements: the backbone branch for transfer learning, the Gated Recurrent Unit (GRU), the residual collaborative branch, and the feature fusion module. …”
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  14. 14
    Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines

    Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines by Haddad, Abdul Rahim

    Published 2016
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  15. 15
    Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection

    Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection by Alok Singh Chauhan (8264985)

    Published 2023
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  16. 16
    A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS

    A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS by Youssef, H.

    Published 2020
    “…In this paper, we present a Simulated Evolution algorithm for the design of campus network topology. …”
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  17. 17
    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and c cliques. …”
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  18. 18
    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection

    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

    Published 2020
    “…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. Initially, the features are grouped randomly to increase the probability of making them participating in the generation of different groups, and sorted based on their accuracy scores. …”
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  19. 19
    Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques

    Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques by Abdul Karim (417009)

    Published 2020
    “…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …”
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  20. 20
    Machine Learning-Based Approach for EV Charging Behavior

    Machine Learning-Based Approach for EV Charging Behavior by Shahriar, Sakib

    Published 2021
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