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Optimizing energy and reserve minimization in a sustainable microgrid with electric vehicle integration: dynamic and adjustable manta ray foraging algorithm
Published 2023“…The DAMRF algorithm harnesses the inherent flexibility of EVs as controllable loads and develops a comprehensive dispatch model for a large-scale EV response. …”
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A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024“…As the network is getting complex and congested, it will become challenging to satisfy the QoS requirements in the MPLS network. This study proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”
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Quality of service management algorithms in WiMAX networks
Published 2015“…Simulation have been extensively used to evaluate the proposed algorithm. Finally, Discrete Event Simulator (DES) is designed and developed in order to evaluate the performance of the proposed algorithms. …”
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An improved particle swarm optimization based maximum power point tracking strategy with variable sampling time
Published 2015“…The performance of the proposed system is evaluated using MATLAB simulation and experimentation, in which a digital signal controller is used to implement the proposed algorithm on a real boost converter connected to a PV simulator. …”
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Efficient and scalable ant colony optimization based WSN routing protocol for IoT
Published 2020“…The evaluation results have recorded an improvement in conservation of energy, of almost 50% less consumed energy even with an increase in the number of nodes, by comparing with an existing routing technique based on ant system, a current routing protocol for IoT and the conventional ACO algorithm. © 2020 ASTES Publishers. …”
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A new robust computational approach for the electric power system parameters
Published 2017“…The state estimation (SE) is a fundamental data processing algorithm used by the control centers of modern power networks. …”
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The performance of Taguchi�s T-method with binary bat algorithm based on great value priority binarization for prediction
Published 2023“…Taguchi�s T-method is a predictive modeling technique under the Mahalanobis-Taguchi system that is based on the regression principle and robust quality engineering elements to predict future state or unknown outcomes. …”
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A Fuzzy Logic Positional-Based Controller For Sensorbased Robotic Motion Planning
Published 2023“…In this paper, a novel positional-based motion controller is proposed which requires very little amount of information from the robot�s sensory system. …”
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Weighted subsethood segmented fuzzy time series for moving holiday electricity load demand forecasting
Published 2020“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of three main phases; data pre-processing, forecasting based on WeSuSFTS model and model evaluation. …”
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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
Published 2023“…Calculations of the optimized tilt and surface azimuth angles on monthly, seasonal and yearly basis were conducted, with the genetic algorithm being used for this purpose. Different PV tracking methods were also evaluated, taking into account the annual energy production. …”
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Semantic relatedness maximisation for word sense disambiguation using a hybrid firefly algorithm
Published 2021“…Hence, we hybridise the FA with a one-point search algorithm to improve its exploitation capacity. …”
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Green vehicle traffic routing system using ant-based algorithm
Published 2015“…Hence, in this paper, we present a green VTRS that reduces fuel consumption and consequently CO2 emissions via ant-based algorithm combined with fuel consumption model. …”
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Taguchi's T-method with nearest integer-based binary bat algorithm for prediction
Published 2023“…In this paper, a swarm-based binary bat optimization algorithm with a nearest integer discretization approach is integrated with the Taguchi�s T-method. …”
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Medical Image Analysis Using Deep Learning and Distribution Pattern Matching Algorithm
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Using artificial intelligence search in solving the camera placement problem
Published 2022“…Two case studies are used to evaluate those algorithms, and the camera placement problem is formulated as a coverage maximization problem. …”
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Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System
Published 2010“…Resource Discovery (RD) is a key issue in Internet-based distributed sytems such as grid. …”
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