Search Results - (( time evaluation tool algorithm ) OR ( data distribution ((a algorithm) OR (based algorithm)) ))*
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1
The comparison of tardiness in scheduling techniques for task distribution using grid simulation tool
Published 2008“…The goal of this project is to test on tardiness parameter in local search based algorithms. A good scheduling algorithm normally shows lower value of total tardiness and schedule time. …”
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2
Development of an effective clustering algorithm for older fallers
Published 2022“…The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. …”
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3
Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…However, the current meta-heuristic algorithms do not ensure an optimum solution within a reasonable time. …”
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5
Enhancing quality of service in Multi-Radio Multi-Channel Wireless Mesh Networks
Published 2023“…The COngestion Reduction Routing Algorithm (CORRA) tackles this challenge by evaluating link quality and interference to find optimal data paths. …”
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6
Peak pressure analysis of foot plantar distribution based on image processing algorithm
Published 2018“…The other main goal of this work is to create an algorithm which has the ability to formulate accurately and reliably the distribution of pressure over the foot plantar. …”
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7
TDMA scheduling analysis of energy consumption for iot wireless sensor network
Published 2019“…Many new algorithms are implemented to reduce nodes energy consumption including Time division Multiplexing algorithm (TDMA) for scheduling to allocate neighbor and reduce signal interference, Distributed Randomize (DRAND) Time Division Multiplexing to do nodes random distribution and allocation. …”
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8
An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network
Published 2019“…By using the MATLAB simulation tool,the performance of SPF algorithm and conventional method will be evaluated. …”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan
Published 2018“…In addition, a visualization tool (heatmap) has been linked to the proposed algorithm to visualize multiple clusters with different colors. …”
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An eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in khyber-pakhtunkhwa, Pakistan
Published 2018“…In addition, a visualization tool (heatmap) has been linked to the proposed algorithm to visualize multiple clusters with different colors. …”
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11
Enhanced ABD-LSSVM for energy fuel price prediction
Published 2013“…The purposes of enhancement are to enrich the searching behavior of the bees in the search space and prevent premature convergence.Such an approach is used to improve the performance of the original ABC in optimizing the embedded hyper-parameters of Least Squares Support Vector Machines(LSSVM).Later on, a procedure is put forward to serve as a prediction tool to solve prediction task.To evaluate the efficiency of the proposed model, crude oil prices data was employed as empirical data and a comparison against four approaches were conducted, which include standard ABC-LSSVM, Genetic Algorithm-LSSVM (GA-LSSVM), Cross Validation-LSSVM (CV-LSSVM), and conventional Back Propagation Neural Network (BPNN).From the experiment that was conducted, the proposed eABC-LSSVM shows encouraging results in optimizing parameters of interest by producing higher prediction accuracy for employed time series data.…”
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Enhanced ABC-LSSVM For Energy Fuel Price Prediction
Published 2014“…To evaluate the effi ciency of the proposed model, crude oil prices data was employed as empirical data and a comparison against four approaches were conducted, which include standard ABC-LSSVM, Genetic Algorithm-LSSVM (GA-LSSVM), Cross Validation-LSSVM (CV-LSSVM), and conventional Back Propagation Neural Network (BPNN). …”
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…In order to reduce the training time and computational cost of the algorithm, Principal Components Analysis (PCA) pretraining strategy is deployed to obtain data adaptive filter banks. …”
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14
Parallel system for abnormal cell growth prediction based on fast numerical simulation
Published 2010“…The development of the prediction system is the combinations of the parallel algorithms, open source software on Linux environment and distributed multiprocessor system. …”
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15
Data discovery algorithm for scientific data grid environment
Published 2005“…In this research work, we present our scientific data grid as a large P2P-based distributed system model. …”
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Security framework based multi agent system architecture to facilitate data fetching from cloud data storage
Published 2012“…In order to evaluate our proposed security framework based on MAS architecture, a pre-survey is conducted using a questionnaire survey. …”
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17
Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…Eventually, the workflow is executed. The second algorithm is a variation in first algorithm in which data parallelism is introduced in each partition. …”
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18
A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network
Published 2015“…The results show a significant improvement compared to other algorithms. …”
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Slice sampler algorithm for generalized pareto distribution
Published 2018“…Based on the results, the slice sampler algorithm provides closer posterior mean values and shorter 95% quantile based credible intervals compared to the Metropolis-Hastings algorithm. …”
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Scheduled activity energy-aware distributed cluster- based routing algorithm for wireless sensor networks with non-uniform node distribution
Published 2014“…Therefore, in this study, a new algorithm called Scheduled-Activity Energy Aware Distributed Clustering (SA-EADC) is proposed. …”
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