Search Results - parallel operation ((during algorithm) OR (mining algorithm))*
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…This research opens a wide range of future work to be considered, which includes applying the proposed method in other areas such as web mining, text mining or multimedia mining; and extending the proposed approach to work in parallel computing in data mining.…”
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Guided genetic algorithm for solving unrelated parallel machine scheduling problem with additional resources
Published 2022“…Additionally, an appropriate selection of GA operators was also experimented. The guide genetic algorithm (GGA) is not used to solve the unspecified dynamic UPMR. …”
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Parallel multiple tabu search for multiobjective Urban Transit Scheduling Problem
Published 2020“…Computational experiments were conducted on the well-known Mandl’s and Mumford’s benchmark networks to assess the effectiveness of the proposed algorithm. Competitive results are reported based on the performance metrics, as compared to other algorithms from the literature.…”
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Local search approaches for patient scheduling problem in parallel operating theatre
Published 2020“…Scheduling for patients in parallel OT can help to schedule a large number of patients and emergency patients are considered in this study .Other than that, emergency patients are able to be scheduled and treated on the day as the modification of schedule is performed during the dynamic processof scheduling. …”
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A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019“…The results showed that the proposed HB-SA algorithm can achieve minimum irrigation deficits during the examined period and outperforms the other optimization algorithms. …”
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Parallel processing in Compute Unified Device Architecture (CUDA) for energy saving glass
Published 2014“…In order to develop a complex coating structure, genetic algorithm technique is used in this research. However, genetic algorithm require a fast processing speed in order to cope with the process of creating new chromosome from the population and undergoes the selection, crossover and mutation operation processes. …”
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Minimizing machining airtime motion with an ant colony algorithm
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An efficient cache replacement algorithm for minimizing the error rate in L2-STT-MRAM caches
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An embedded database design and implementation of a parallel IEEE XTS storage encryption for mobile devices
Published 2017“…To ensure higher security level, the developed system is implemented using the NIST-certified XTS-AES block encryption algorithm. Other storage encryption algorithms, i.e. …”
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Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…Studies have shown that the amount of regenerated energy using a series (co-operative) system is more than the energy that a parallel system can harvest. …”
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K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata
Published 2018“…K Nearest Neighbor Joins (KNN join) are regarded as highly primitive and expensive operations in the data mining.The efficient use of KNN join has proven good results in finding the objects from two data sets prevailed in the huge databases.This has been achieved with the combination of K-Nearest Neighbor query and join operation to find the distinct objects from different data sets.MapReduce is a newly introduced program with the combination of Map Procedure method and Reduce Method widely used in BigData.MapReduce is enriched with parallel distributed algorithm to find the results on a cluster of data sets in BigData.In this paper,the combination of KNN join and MapReduce methods are utilized on the cluster of data sets in BigData for knowledge discovery.Exploring the pinpoint data from huge data sets stored in Big Data demands the distributed large scale data processing.The present research paper is focusing on generic steps for KNN joins exploration operations on MapReduce.The operations of KNN Join are targeted to perform the data partitioning and data pre-processing and necessary calculations.By utilizing the combination of KNN joins with MapReduce methods on BigData data sets will demonstrate a solution for complex computational analysis. …”
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Hybrid metaheuristics for QOS-aware service composition / Hadi Naghavipour
Published 2022“…As a result of this mapping study, five major hybridization strategies were identified in which two-third of solutions have been based on modifying algorithm operators or integration with another metaheuristic. …”
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Evaluation of outlier filtering algorithms for accurate measurement of travel time reliability incorporating lane-splitting situations / Obada M. A. Asqool
Published 2022“…This study used travel time datasets collected from three routes in Kuala Lumpur via Wi-Fi detectors during May 2018. The results showed that the Jang algorithm was found to have the best performance for two of the three routes, whereas the TransGuide algorithm was the best algorithm for one route. …”
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An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics
Published 2016“…A careful analysis of the algorithm and efficient utilization of Zynq resources results in highly parallelized and pipelined architecture outperforms the state-of-the-art. …”
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Voltage Regulation Of Dc Link For Microgrid Stability And Operation
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Undergraduates Project Papers -
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Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…The obtained results are compared with the results of four algorithms. These algorithms are Genetic Algorithms (GA), Parallel Genetic Algorithm (PGA), Particle Swarm Optimization (PSO) and Accelerated Particle Swarm Optimization (APSO). …”
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Constant lock circuit for DC micro-grid system
Published 2017“…Three modes come into view during DC micro-grid operations. These operational scenarios are the standalone scenario, grid scenario, and feedback scenario. …”
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