Search Results - (( its application ((max algorithm) OR (based algorithm)) ) OR ( _ application using algorithms ))*
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Fuzzy Logic Based Self-Adaptive Handover Algorithm for MobileWiMAX.
Published 2013“…The conventional handover decision algorithm in mobile WiMAX is based on a single criterion, which usually uses the received signal strength indicator (RSSI) as an indicator, with the other fixed handover parameters such as handover threshold and handover margin. …”
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Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…To address these problems, this research proposes three new distributed static batch mode inspired algorithms. The first (proposed) algorithm is based on Min-Min, called Min-Diff, the second algorithm is based on Max-Min, called Max-Average, and the third algorithm is to handle the load balancing, called Efficient Load Balancing (ELB). …”
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Quality of service management algorithms in WiMAX networks
Published 2015“…Thirdly, an energy algorithm called the Efficient Battery Life-aware Power Saving (EBLAPS) algorithm is proposed to address the problems of minimizing energy at the expense of response due to how energy sleep parameters are adjusted based on the residual energy and the use of standard sleep mode algorithms consumes high energy because of frequent transition to listening mode in the case of light traffic. …”
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Fair uplink bandwidth allocation and latency guarantee for mobile WiMAX using fuzzy adaptive deficit round robin
Published 2014“…In this paper, an efficient bandwidth allocation algorithm for the uplink traffic in mobile WiMAX is proposed. …”
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The application of neural networks and min-max algorithm in digital congkak
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Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks
Published 2013“…In the proposed HATSC scheme, the AHP method is uese for criteria weighting, while the TOPSIS method uses for the selection technique based on a multi-criteria decision-making algorithm is proposed. …”
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Brain Machine Interface Controlled Robot Chair
Published 2010“…The BMI controls the joystick of the robot chair using a shared control algorithm. Real-time experiments are also presented using 10 trained and 5 untrained subjects to validate the applicability of the brain machine interface. …”
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Reactive memory model for ant colony optimization and its application to TSP
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WiMAX Traffic Forecasting Based On Artificial Intelligence Techniques
Published 2024thesis::doctoral thesis -
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Seamless horizontal handover algorithm for homogeneous wireless mobile networks using fuzzy logic
Published 2013“…The most important and society application of WiMAX is the mobile communication. When a mobile station changes its geographical position, it may also need to change its attachment point in the network in order to retain the quality of the connection. …”
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Max degree around (MDA) algorithm: a smart and efficient approximate algorithm for Vertex cover and independent set problems
Published 2016“…These problems motivated to propose Max Degres Around (MDA) approximation algorithm for the MVC problem. …”
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Improving the quality of service of fixed WiMAX networks by decreasing application response time using a distributed model
Published 2022“…The performance of the network was increased by the deployment of more Base Stations (BSs), Subscriber Stations, and the utilization of client-server Base Stations that were chosen by the Nearest Neighborhood Algorithm that was devised…”
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
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Design Optimization of a Gas Turbine Engine for Marine Applications: Off-Design Performance and Control System Considerations
Published 2022“…Meta-heuristic optimizations, namely a genetic algorithm (GA) and a whale optimization algorithm (WOA), are applied to optimize the designed control system. …”
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Automatic algorithm applied for calculating thermal conductivity by transient plane source method
Published 2024“…To address this issue, an automatic algorithm based on the international standard (ISO22007-2:2008) is proposed in this paper. …”
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Data normalization techniques in swarm-based forecasting models for energy commodity spot price
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