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Showing 141 - 160 results of 594 for search '(( element mean algorithm ) OR ((( data code algorithm ) OR ( based models algorithm ))))', query time: 0.15s Refine Results
  1. 141
    On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach

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

    Published 2022
    “…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …”
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  2. 142
    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model

    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model by Ramesh Sundar (19326046)

    Published 2024
    “…The computational cost and performance estimations are improved, and the metrics are clearly visualized on this paper based on improved beamforming procedures as well as the proposed approach of DDN based Multi-Resolution Code Book performance metrics are estimated clearly with proper mathematical model investigations. …”
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  3. 143
    I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams

    I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams by Raun, Kristo

    Published 2023
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  4. 144
    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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  5. 145
    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
    “…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …”
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  6. 146
    Second-order conic programming for data envelopment analysis models

    Second-order conic programming for data envelopment analysis models by Mourad, Nahia

    Published 2022
    “…Indeed, the aforesaid method is based on mathematical optimization. This paper constructs a second-order conic optimization problem unifying several DEA models. …”
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  7. 147
    Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System

    Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System by B. Rouabah (17947820)

    Published 2023
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  8. 148
    A new family of multi-step quasi-Newton algorithms for unconstrained optimization

    A new family of multi-step quasi-Newton algorithms for unconstrained optimization by Obeid, Samir

    Published 1999
    “…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …”
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  9. 149
    Optimizing Energy Consumption In Cloud Datacenters

    Optimizing Energy Consumption In Cloud Datacenters by Khan, Mueez Ahmad

    Published 2024
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  10. 150
    A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems

    A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems by Majdi Mansouri (16869885)

    Published 2020
    “…In the proposed IGPR-RF technique, the effective interval-valued nonlinear statistical features are extracted and selected using the IGPR model and then fed to the RF algorithm for fault classification purposes. …”
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  11. 151
    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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  12. 152
    Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method

    Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method by Mohamed Massaoudi (16888710)

    Published 2021
    “…The proposed forecasting tool incorporates a base model and meta-model layers. The first-layer base learner combines extreme learning machines, extremely randomized trees, k-nearest neighbor, and mondrian forest models. …”
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  13. 153
    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands

    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands by Peng, Wang

    Published 2020
    “…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …”
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  14. 154
    Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks

    Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks by Yaacoub, Elias

    Published 2013
    “…Videos with single description coding (SDC), multiple description coding (MDC), and scalable video coding (SVC) are considered. …”
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  15. 155
    Cooperative clustering models for Vehicular ad hoc networks. (c2013)

    Cooperative clustering models for Vehicular ad hoc networks. (c2013) by Abdel Wahab, Omar Mohammad

    Published 2013
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  16. 156
    Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm

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

    Published 2022
    “…The forecasting performance of the proposed model is compared with other population-based optimized IT2-FLS including genetic algorithm and artificial bee colony optimization algorithm. …”
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  17. 157
    Scatter search for homology modeling

    Scatter search for homology modeling by Mansour, Nashat

    Published 2016
    “…However this technique suffers from poor initial target-template alignments. To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. …”
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  18. 158
    ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification

    ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification by Md. Iqbal Hossain (723299)

    Published 2024
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  19. 159
    The automation of the development of classification models and improvement of model quality using feature engineering techniques

    The automation of the development of classification models and improvement of model quality using feature engineering techniques by Sjoerd Boeschoten (17347045)

    Published 2023
    “…<p>Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. …”
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  20. 160
    Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation

    Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation by Zakaria Shams Siam (22048001)

    Published 2024
    “…Efforts are underway to develop algorithms that can generate 7T MRI from 3T MRI to achieve better image quality without the need for 7T MRI machines. …”
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