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Showing 61 - 80 results of 248 for search 'algorithm effective ((optimizeddds OR (optimizeddds OR (optimised OR optimizer))) OR optimized)', query time: 0.12s Refine Results
  1. 61
    A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm

    A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm by Amirsajjad Rahmani (17541453)

    Published 2023
    “…The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …”
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  2. 62
    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques

    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques by Abu Zitar, Raed

    Published 2022
    “…Computational Intelligence (CI) techniques have been recognized as effective methods in generating and optimizing renewable tools. …”
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  3. 63
    Particle swarm optimization for multimachine power systemstabilizer design

    Particle swarm optimization for multimachine power systemstabilizer design by Abido, A.A.

    Published 2001
    “…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …”
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  4. 64
    A comparison of optimization heuristics for the data mapping problem

    A comparison of optimization heuristics for the data mapping problem by Mansour, Nashat

    Published 1997
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  5. 65
    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort

    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort by Sergio Márquez-Sánchez (19437985)

    Published 2023
    “…In response to these challenges, this article introduces a cutting-edge edge computing architecture grounded in virtual organizations, federated learning, and deep reinforcement learning algorithms, tailored to optimize energy consumption within buildings/homes and facilitate demand response. …”
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  6. 66
    A Survey of Data Clustering Techniques

    A Survey of Data Clustering Techniques by Sobeh, Salma

    Published 2023
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  7. 67
    Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques

    Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques by Arifa Zahir (20748764)

    Published 2024
    “…LeNet demonstrates optimized accuracy in classifying the records, outperforming CNN by 52% and Inception-V3 by 70%. …”
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  8. 68
    Optimal design of power system stabilizers using evolutionary programming

    Optimal design of power system stabilizers using evolutionary programming by Abido, M.A.

    Published 2002
    “…The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. …”
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  9. 69
    Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches

    Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches by Abdulla Alhajeri, Rashed

    Published 2020
    “…Other findings of the study included higher tilt angles that resulted in lower cleaning requirements and thin-film PV panels that required less cleaning than first generation PV panels (mono/poly crystalline). The algorithm is an effective yet simple tool to help operators optimize the NCB of their PV facilities. …”
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  10. 70
    Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks

    Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks by Islambouli, Rania

    Published 2019
    “…We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. The performance of the meta-heuristic solution is evaluated and compared to the optimal solution as a function of various system parameters and for different application use cases. …”
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  11. 71
    Economic load dispatch multiobjective optimization procedures usinglinear programming techniques

    Economic load dispatch multiobjective optimization procedures usinglinear programming techniques by Farag, A.

    Published 1995
    “…This paper outlines the optimization problem of real and reactive power, and presents the new algorithm for studying the load shedding and generation reallocation problem in emergencies where a portion of the transmission system is disabled and an AC power solution cannot be found for the overloaded system. …”
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  12. 72
    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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  13. 73
    Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization

    Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization by Alhadhrami, Esra Ebrahim

    Published 2023
    “…The Q value plays a crucial role in estimating future state values within a Kalman filter tracking system. Proximal Policy Optimization (PPO), a state-of-the-art policy optimization algorithm, was employed to determine the optimal Q value that enhances tracking performance, as measured by Root Mean Square Error (RMSE). …”
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  14. 74
    Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Algorithm

    Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Alg... by Ali S. Alghamdi (12722891)

    Published 2023
    “…The performance of the IFLA when applied to EH coordinated scheduling and management problems with the aim of profit maximization is compared with the conventional FLA, particle swarm optimization (PSO), and manta ray foraging optimization (MRFO) methods. …”
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  15. 75
    Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization

    Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization by Hafez, Ishaq

    Published 2023
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  16. 76
    Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling

    Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling by Majed Hadid (17148364)

    Published 2022
    “…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. …”
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  17. 77
    A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading

    A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading by Saoud A. Al-Janahi (18877213)

    Published 2020
    “…The station is modelled using building-information modelling (BIM) software, wherein all of the station’s models are gathered and linked using BIM software to illustrate the BIPV and indicate the solar insolation distribution on the rooftop by simulating the station’s rooftop. The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. …”
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  18. 78
    Framework for rapid design and optimisation of immersive battery cooling system

    Framework for rapid design and optimisation of immersive battery cooling system by Ali Almshahy (23544823)

    Published 2025
    “…The CFD model of a battery module is developed to train an ultra-fast metamodel for battery geometry optimisation. Two key parameters are optimised, namely: battery gap spacing (3–10 mm) and inlet/outlet width (5–15 mm), via Optimal Latin Hypercube Sampling, Support Vector Regression, and GDE3 algorithm. …”
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  19. 79
    A method for optimizing test bus assignment and sizing for system-on-a-chip

    A method for optimizing test bus assignment and sizing for system-on-a-chip by Harmanani, Haidar M.

    Published 2017
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  20. 80
    Combined cycle gas turbine system optimization for extended range electric vehicles

    Combined cycle gas turbine system optimization for extended range electric vehicles by Barakat, Aya A.

    Published 2020
    “…This study presents a methodology for the design and optimization of the most optimal combined cycle system configuration, suitable to replace the engine in a series-hybrid extended-range electric vehicle, and investigates its potential fuel savings. …”
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