Search Results - (( developing factor path algorithm ) OR ( java implication based algorithm ))
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Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control
Published 2016“…Nonlinear FXLMS (NLFXLMS) control algorithm based on SEF has been previously developed to cancel the noise in environment with external factors that can cause nonlinearity. …”
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…This research aims to develop a novel path prediction system which could keep track of the traveler during temporary shortage of actual positioning data. …”
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Reducing Iteration Using Candidate List
Published 2008“…The principle of cooperation and the behavior of a single ant finding path has been the backbone in this algorithmic development. …”
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah
Published 2013“…PointsBug also avoids the necessity to store any information about previous positions of navigation such as hit point, leaving point and previous position in Bug algorithms family developed by past researches. This causes accuracy in mobile robot localisation is not an important factor for a successful navigation. …”
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
Published 2007“…Their ability as a colony to find paths or routes to the food sources has inspired the development of an algorithm namely Ant Colony System (ACS). …”
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Development of AODV based static multi-hop linear routing algorithm using 802.11 wireless sensor network for oil and gas pipeline
Published 2022“…On the other hand, in AODVTRI, the traffic is divided into three different routes (1) alpha path, (2) beta path, and (3) charlie path with consideration of x-axis. …”
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…The simulation results indicate that the algorithm is able to segregate and assign the tasks for each scanning head and also able to find the shortest scanning path for different types of objects coordination. …”
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Development of web-based GIS for traffic management system with obstacle avoidance technique using open source software
Published 2014“…In order to calculate the shortest path between two nodes, Dijkstra algorithm was utilized. …”
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Unconstrained facial recognition systems: a review
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Performance comparison of LFXLMS, MOVFXLMS and THF-NLFXLMS algorithms for Hammerstein NANC
Published 2016“…When using optimum leakage factors, these algorithms show close performance with benchmark nonlinear FXLMS (NLFXLMS) algorithm. …”
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A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…It evaluates system formation methods, hierarchical structures, and leader selection criteria, comparing various parameters to identify factors influencing node formation and routing. The multi-criterion energyefficient routing mechanism uses the ACO algorithm, inspired by ants' foraging behaviour. …”
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A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm
Published 2015“…Interpolation scheme based on the multiaixality of stresses is suggested for the determination of coefficients of the model for different loading paths. Material parameter including stress sensitivity factor for normal or shear stress can be incorporated to improve the calibration process. …”
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A review on path collisions and resources usage in hybrid optical network on chip (HONoC)
Published 2015“…The larger SoC the more probably the overall computation is heterogeneous and localized rather than evenly balanced over the chip. These two factors motivate Network-on-Chip (NoC) that brings the techniques developed for macro-scale, multi-hop networks into a chip. …”
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Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman
Published 2017“…Therefore, in this research, will be use Ant Colony Optimization (ACO) algorithm as an optimize technique that provide a shortest path of defining a successor that is their highest value of criteria. …”
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