Search Results - (( mobile deviation between algorithm ) OR ( parameter estimation strategically algorithm ))*
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Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation
Published 2017“…The average runtime is 4.74 (standard deviation is 0.26).…”
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Particle filter approach for estimating indoor mobile user location using IEEE 802.11 signals (F1090)
Published 2011“…Moreover, the use of light estimation algorithms such as fingerprinting, ranking algorithm, Weighted Centroid method, k-Nearest Neighbour, did not give a good tracking result. …”
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Enhancing location estimation accuracy by utilizing time difference of arrival techniques for wireless network
Published 2020“…Based on the covariance matrix, the accuracy of the estimate mobile/emitter location can be found by using the standard deviation formula. …”
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Particle filter approach for tracking indoor user location using IEEE 802.11 signals
Published 2011“…Moreover, the use of light estimation algorithms such as fingerprinting, ranking algorithm, Weighted Centroid method, k-Nearest Neighbour, did not give a good tracking result. …”
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Dynamic investment model for the restructed power market in the presence of wind source
Published 2014“…Furthermore, in short and medium terms the wind firm faces with Market clearing price‟s fluctuations, which is affected by some uncertain parameters including the demand, fuel price, wind fluctuations and the operational strategic behaviour of other investors. …”
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A NEW ENERGY EFFICIENT ADAPTIVE HYBRID ERROR CORRECTION TECHNIQUE FOR UNDERWATER WIRELESS SENSORS NETWORKS
Published 2011“…Underwater is characterized by variable channel conditions, whereas underwater sensors are mobile due to water currents leading to variable distances between sensors. …”
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Prioritisation assessment and robust predictive model for a comprehensive medical equipment maintenance using machine learning techniques / Aizat Hilmi Zamzam
Published 2022“…The development of predictive models for objectives 1 and 2 of this study involves the application of seven supervised machine learning algorithms. The effectiveness of these models is assessed through eleven performance evaluation parameters. …”
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Design of reflectarray antenna integrated with FSS textured configurations for wireless communication applications
Published 2014“…It has been demonstrated that the maximum static phase range of 540° can be obtained with the loop length variation of 6.8mm. Moreover novel algorithms based on mathematical models have been developed for the calculation of progressive phase distribution depicted by each individual resonant element and resonant frequency estimation of FSS reflectarrays. …”
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Enhanced Adaptive Neuro-Fuzzy Inference System Classification Method for Intrusion Detection
Published 2024“…Additionally, standard deviation and proposed adaptive K-means algorithms have been employed to minimize the generated rules by ANFIS from the proposed hybrid models. …”
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Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area
Published 2005“…It also enables governments to put in place strategic contingency plans for redistribution of food during times of famine. …”
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