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Showing 121 - 140 results of 490 for search '(((( element study algorithm ) OR ( develop based algorithm ))) OR ( neural modeling algorithm ))', query time: 0.17s Refine Results
  1. 121
    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units

    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by El-Amin, I.

    Published 2020
    “…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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  2. 122
    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units

    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by Duffuaa, S. O.

    Published 2020
    “…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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  3. 123
    Power Control Algorithms for Media Transmission in Remote Healthcare Systems

    Power Control Algorithms for Media Transmission in Remote Healthcare Systems by Ali Hassan Sodhro (18629392)

    Published 2018
    “…Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. …”
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  4. 124
    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks

    Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks by Sharma, Neetan

    Published 2023
    “…This paper aims to acknowledge the extended stellar forecasting algorithm using artificial neural network common sensical aspect. …”
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  5. 125
    Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network

    Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network by Monzure-Khoda Kazi (17191207)

    Published 2024
    “…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …”
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  6. 126
    MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection

    MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection by Sui Paul Ang (18460605)

    Published 2023
    “…This paper proposes a novel neural architecture search (NAS) algorithm, named MSD-NAS, to automate this laborious task. …”
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  7. 127
    A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks

    A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks by Yassine Himeur (14158821)

    Published 2022
    “…Besides micro-moment features extraction, we also experiment with a deep neural network architecture for efficient abnormality detection and classification. …”
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  8. 128
    Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review

    Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review by Yasir Ali (799969)

    Published 2023
    “…In this question, we also determined the various models, frameworks, techniques and algorithms suggested by ANNs for the security advancements of IoT. …”
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  9. 129
    Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids

    Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids by Anas Karaki (17947808)

    Published 2025
    “…The primary objective is to develop an efficient, reliable, private, and scalable algorithm for battery scheduling that ensures economic efficiency and system stability, even under dynamic market conditions. …”
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  10. 130
    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems

    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani (14590504)

    Published 2021
    “…In this paper, a multiswarm-intelligence-based algorithm (MSIA) is developed to cope with bound constrained functions. …”
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  11. 131
    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models

    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models by Azar, Danielle

    Published 2010
    “…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
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  12. 132
    Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy

    Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy by Raad, M.W.

    Published 2006
    “…A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 1%. …”
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  13. 133
    A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms

    A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms by Zaidi, Ali Mustafa

    Published 2007
    “…Numerous such algorithms have been devised, and many have found popularity in different domains. …”
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  14. 134
    Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inverter

    Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv... by Atif Iqbal (5504636)

    Published 2019
    “…Different standard multicarrier sinusoidal pulse-width modulation techniques (SPWMs) are adapted for the generation of switching gate signals for the PUC power switches, and these SPWMs are compared with novel optimization-based selective harmonic elimination (SHE) that employs genetic algorithm (GA) for solving nonlinear SHE equation with a constraint that eliminated all third-order harmonics efficiently. …”
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  15. 135
    Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation

    Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation by Attieh, Joseph

    Published 2024
    “…First, a term-category feature matrix is derived from a modified version of the supervised Term-Frequency Inverse-Category-Frequency (TF-ICF) weighting model. This is done by embedding the TF-ICF matrix in a one-layer feed-forward neural network. …”
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  16. 136
    Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment

    Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment by Surjeet Dalal (4906894)

    Published 2023
    “…This paper demonstrated the results of executing various machine learning algorithms and proposed an enormously boosted neural network. …”
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  17. 137
    A Framework for Predictive Modeling in Sustainable Projects

    A Framework for Predictive Modeling in Sustainable Projects by Labban, Tarek

    Published 2012
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  18. 138
    A reduced model for phase-change problems with radiation using simplified PN approximations

    A reduced model for phase-change problems with radiation using simplified PN approximations by Belhamadia, Youssef

    Published 2025
    “…To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. A Newton-based algorithm is also adopted for solving the nonlinear systems resulting from the considered monolithic approach. …”
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  19. 139
    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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  20. 140
    Brain Source Localization in the Presence of Leadfield Perturbations

    Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

    Published 2015
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