Search Results - (( data distribution using algorithm ) OR ( re evaluation step algorithm ))

Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

“…Finally, the initial partitioning is successively un-coarsened and re-refined back to the original hypergraph. These steps have conducted using the MEMPHA model and ROA algorithm to optimize three metrics: execution time, total communication volume, and imbalance ratio (load balancing). …”
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A negotiation algorithm for decision-making in the construction domain by Idrus A., Mahmoud M.A., Ahmad M.S., Yahya A., Husen H.

Effect of corrugated wall combined with backward-facing step channel on fluid flow and heat transfer by Hilo, Ali Kareem, Abu Talib, Abd Rahim, Iborra, Antonio Acosta, Hameed Sultan, Mohamed Thariq, Abdul Hamid, Mohd Faisal

“…Combining the corrugated wall with backward-facing step enhanced the Nusselt number (Nu) up to 62% at Re = 5000. …”
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Nanofluid flow and heat transfer in corrugated backward-facing step channel using ethylene glycol as based fluid by Hilo, Al Behadili Ali Kareem

“…Combined the backward-facing step with corrugated wall enhanced the Nusselt number (Nu) up to 62% at Re = 5,000. …”
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ReSTiNet: An efficient deep learning approach to improve human detection accuracy by Shahriar Shakir, Sumi, Dayang Rohaya, Awang Rambli, Mirjalili, Seyedali, Miah, M. Saef Ullah, Muhammad Mudassir, Ejaz

“… • All the necessary steps, algorithms, and mathematical formulas for building the net- work are provided…”
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ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy by Sumit, S.S., Rambli, D.R.A., Mirjalili, S., Miah, M.S.U., Ejaz, M.M.

“…The developed ReSTiNet contains fire modules by evaluating their number and position in the network to minimize the model parameters and network size. …”
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Re: Gen - web-based resume generator with content recommender for it job field / Nurul Syahmina Mohd Khairuddin … [et al.] by Mohd Khairuddin, Nurul Syahmina, Ahmadon, Fadzlin, Hashim, Madihah Hannani, Mohd Vauxhall, Nur Ain Emylia

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ReSTiNet : An efficient deep learning approach to improve human detection accuracy by Sumit, Shahriar Shakir, Dayang Rohaya, Awang Rambli, Seyedali, Mirjalili, Miah, Md Saef Ullah, Muhammad Mudassir, Ejaz

“…The developed ReSTiNet contains fire modules by evaluating their number and position in the network to minimize the model parameters and network size. …”
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Data discovery algorithm for scientific data grid environment by Abdullah, Azizol, Othman, Mohamed, Sulaiman, Md. Nasir, Ibrahim, Hamidah, Othman, Abu Talib

“…By using this model, we study various discovery algorithms for locating data sets in a data grid system. …”
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Binary Vote Assignment on Cloud Quorum Algorithm for Fragmented MyGRANTS Database Replication by Noraziah, Ahmad, Ainul Azila, Che Fauzi, Herawan, Tutut, Zailani, Abdullah

“…We address how to build reliable systems by using the proposed BVACQ algorithm for distributed database fragmentation by using Malaysian Greater Research Network (MyGRANTS) data in our case study. …”
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Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm by Suparman, S., Rusiman, Mohd Saifullah

“…The performance of the algorithm is tested by using simulated data. The test results show that the algorithm can estimate the order and coefficients of the autoregressive model very well. …”
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Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj by Bryan Raj , Peter Jabaraj

“…Moreover, two improvised clustering techniques are introduced to reduce the energy overhead cost from the re-clustering process. The performance of aHSSOGA is evaluated based on average residual energy, network lifetime, total re-clustering occurrence, total data delivery, network throughput and end-to-end delay metrics. …”
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Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J., Hasan, M.H.

“…It still takes a long time to compute the topic distribution of the data. There are still room for improvement in the time taken for the algorithm to complete the topic distribution. …”
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Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J., Hasan, M.H.

“…It still takes a long time to compute the topic distribution of the data. There are still room for improvement in the time taken for the algorithm to complete the topic distribution. …”
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Prior selection for Gumbel distribution parameters using multiple-try metropolis algorithm for monthly maxima PM10 data by Mohd Amin, Nor Azrita, Adam, Mohd Bakri, Ibrahim, Noor Akma

“…Focus is on modelling the extreme data based on block maxima approach using Gumbel distribution. …”
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Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad by Saima Gulzar, Ahmad

“…To avoid such overheads many techniques have been used, however in this thesis stream-based data processing model is used in which data is processed in the form of continuous instances of data items. …”
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Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour by Pebrianti, Dwi, Ariawan, Angga, Bayuaji, Luhur, Mahdiana, Deni, ,, Rusdah

“…Meanwhile, k-NN algorithm is used to classify the experimental data. …”
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Ancestral dynamic voting algorithm for mutual exclusion in partitioned distributed systems by Zarafshan, Faraneh, Karimi, Abbas, Al-Haddad, Syed Abdul Rahman, Saripan, M. Iqbal, Subramaniam, Shamala

“…Data replication is a known redundancy used in fault-tolerant distributed system. …”
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Network reconfiguration and control for loss reduction using genetic algorithm by Jawad, Mohamed Hassan Izzaldeen

“…All the data for 18-bus system test are taken from previous work, and all the data for 49-bus system test are taken from an existing Iraqi distribution network. …”
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Improved genetic algorithm for scheduling divisible data grid application by Kaid, Monir Abdullah Abduh, Othman, Mohamed, Ibrahim, Hamidah, K. Subramaniam, Shamala

“…Data Grid technology promises geographically distributed scientists to access and share physically distributed resources such as computing resources, networks, storages, and most importantly data collections for large scale data intensive problems. …”
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