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Date store management in sliding window based on-line identification algorithms
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Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…The first approach is to develop an efficient sequential algorithm for the window method. Reduction of the execution time of the algorithm in sequential platform, led to a massive improvement of the algorithm speed. …”
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Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model
Published 2024“…This method reduces computational costs by efficiently handling the insertion and exit policy for the appropriate tuple candidates within a specified window frame. …”
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An enhancement of sliding window algorithm for rainfall forecasting
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Metaheuristics with disposal facility positioning for the waste collection VRP with time windows
Published 2013“…This paper improves heuristic algorithms presented in Benjamin and Beasley (Comput Oper Res 37(12):2270–2280, 2010) for solving the waste collection vehicle routing problem with time windows, particularly the real life waste collection benchmark problems from Kim et al.…”
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction
Published 2024“…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
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Windows-Based bandwidth allocation on optical networks
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Window based personalized time management system
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Undergraduates Project Papers -
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Application of a simple mono window land surface temperature algorithm from landsat ETM+ over al Qassim, Saudi Arabia
Published 2012“…The proposed technique employed a mono window LST algorithm for retrieving surface temperature from Landsat ETM+. …”
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Metaheuristics for the waste collection vehicle routing problem with time windows
Published 2010“…In this problem there is a set of customers which waste is collected by vehicles.Vehicles can visit waste disposal facilities during their working day to empty collected waste and hence continue to collect from customers.The vehicles start and end their routes at a single depot empty.We take into consideration time windows associated with customers, disposal facilities and the depot.Here, we also have a driver rest period.The problem is solved using a number of metaheuristic algorithms namely tabu search (TS) and variable neighbourhood search (VNS).More over, we also present a combined metaheuristic algorithm based on variable neighbourhood tabu search (VNTS).Where the variable neighbourhood is searched via tabu search.Computational experiments on ten publicly available waste collection benchmark problems involving up to 2092 customers and 19 waste disposal facilities indicates that the proposed algorithms are able to find better quality solutions than previous work presented in literature within reasonable computation times.…”
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A biological inspired fuzzy adaptive window median filter (FAWMF) for enhancing DNA signal processing
Published 2017“…Methods This paper introduces a biological inspired fuzzy adaptive window median filter (FAWMF) which computes the fuzzy membership strength of nucleotides in each slide of window and filters nucleotides based on median filtering with a combination of s-shaped and z-shaped filters. …”
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Optimisation of vehicle routing problem with time windows using Harris Hawks optimiser
Published 2022“…The main objective of the study is to minimise the number of vehicles to be assigned for the routing problem subjected to the given time windows. The problem was optimised using a new algorithm known as Harris Hawks Optimiser (HHO). …”
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Metaheuristics for the waste collection vehicle routing problem with time windows, driver rest period and multiple disposal facilities
Published 2010“…We also have a driver rest period.The problem is solved heuristically.A neighbour set is defined for each customer as the set of customers that are close, but with compatible time windows. …”
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