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Optimized Predictive Coverage by Averaging Time‐Windowed Bayesian Distributions
Published 2024-05-01“…The length of the calibration window is optimized to maximize goal‐oriented statistical skill scores for predictive coverage. …”
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Optimization Problems with Averaging over the Variables
Published 2017-04-01Subjects: “…the average optimization…”
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Spatial Optimization for Facilities with Anisotropic Coverage
Published 2024-12-01“…Locating facilities such as directional sensors and lights represents a challenging problem given their anisotropic coverage. This paper proposes a spatial optimization model to locate and orient facilities simultaneously. …”
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Coverage Optimization with Balanced Capacitated Fragmentation
Published 2025-02-01“…We propose an innovative mathematical model with additional practical constraints related to service deployment and designed to optimize both coverage and capacity fragmentation within a defined region. …”
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Averaging of Linear Quadratic Parabolic Optimal Control Problem
Published 2025-07-01Subjects: Get full text
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The Optimal Selection for Restricted Linear Models with Average Estimator
Published 2014-01-01“…The optimal weights are selected by minimizing a k-class generalized information criterion (k-GIC), which is an estimate of the average squared error from the model average fit. …”
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An Optimized Strategy Coverage Control Algorithm for WSN
Published 2014-07-01“…For this reason, in this paper, an optimized strategy coverage control (OSCC) algorithm is proposed. …”
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Averaging method in optimal control problems for integro-differential equations
Published 2025-06-01Subjects: “…optimal control…”
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Optimization of senior students access to work on average staff posts
Published 2015-06-01Get full text
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Sensor Node Deployment Optimization for Continuous Coverage in WSNs
Published 2025-06-01“…Optimizing sensor node coverage remains a central challenge in wireless sensor networks (WSNs), where premature convergence and suboptimal solutions in traditional optimization methods often lead to coverage gaps and uneven node distribution. …”
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Offshore coverage optimization and application of TD-LTE networks
Published 2018-06-01“…With the development of coastal fisheries and marine tourism,the demand for wireless coverage on offshore is becoming more and more urgent.Based on the analysis on the characteristics of the mobile communication business,the difficulties of offshore coverage planning,coverage optimization techniques for the actual application scenarios of coastal areas,a TD-LTE network coverage optimization method which made comprehensive use of the following technologies including special TD-LTE system parameter configuration,optimization of wireless communication link budget,optimization of the base station site planning and coverage enhancement technologies was proposed.The proposed optimization method was practically implemented in the Shangchuan Island and Xiachuan Island.The simulation results and measured data in the project field show that the implementation of TD-LTE network coverage optimization method has obviously improved the network coverage rate and communication service quality.…”
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Improved flow direction algorithm for WSN coverage optimization
Published 2024-03-01Subjects: Get full text
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Multiobjective Optimization for Topology and Coverage Control in Wireless Sensor Networks
Published 2015-02-01“…So, there exist conflicts among lifetime, coverage, and connectivity. In this paper, these conflicting issues are considered and an evolutionary multiobjective optimization approach based on nondominated sorting genetic algorithm-II (NSGA-II) is proposed to optimize them. …”
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Deployment of Sensors to Optimize the Network Coverage Using Genetic Algorithm
Published 2012-12-01“…The purpose of this study is to develop a Genetic algorithm that provides a proper deployment of sensors in order to optimize the coverage problem. The genetic algorithm optimizes the operational modes of sensors nodes for transmitting signals. …”
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Ant Colony based Coverage Optimization in Wireless Sensor Networks
Published 2022-09-01Get full text
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Mobile crowd sensing coverage and energy optimization in smart coalmine
Published 2020-12-01“…Mobile crowd sensing (MCS) is a promising diagram for the environmental information collection based on the smart mobile terminal.Nowadays,vehicles with multiple embedded sensors are increasingly being considered as participants to complete various sensing tasks.In order to better perceive the data in the coalmine environment,the coverage quality and energy consumption of the perception data of sensing terminals were studied based on MCS.A new sensing coverage quality indicator called utility function F(Ω) jointly considering the coverage percentage and coverage density was defined.The selection of vehicles as an optimization problem to improve the coverage quality was formulated,then an improved greedy algorithm-coverage quality optimization (CQO) algorithm was proposed.The proposed algorithm with the real vehicle trajectory dataset was formulated and several factors influencing the coverage quality were studied.The experiment results show that the proposed algorithm achieves a better coverage quality.…”
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Coverage quality measuring and optimization for moving target in sensor networks
Published 2008-01-01Subjects: Get full text
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Solving Multi-Objective Complementary Programming Problem (MOCPP) by using Optimal Average
Published 2009-09-01Subjects: “…solving (mocpp) by using optimal average (oav)…”
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Determination of Optimal Time-Average Wind Speed Data in the Southern Part of Malaysia
Published 2022-10-01“…Moreover, no determination has been made regarding selecting the average wind speed used for wind studies. The wind speed data is averaged to 1, 10, 30, and 60 minutes and used to find the optimal wind speed average. …”
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Stochastic Optimal Control of Averaged SDDE with Semi-Markov Switching and with Application in Economics
Published 2025-04-01“…This paper is devoted to the study of stochastic optimal control of averaged stochastic differential delay equations (SDDEs) with semi-Markov switchings and their applications in economics. …”
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