Search Results - scale ((replication algorithm) OR (prediction algorithm))

Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids by Chiaverini, Luca, Macdonald, David W., Hearn, Andrew J., Kaszta, Zaneta, Ash, Eric, Bothwell, Helen M., Can, Ozgun Emre, Channa, Phan, Clements, Gopalasamy Reuben *, Haidir, Iding Achmad, Kyaw, Pyae Phyoe, Moore, Jonathan H., Rasphone, Akchousanh, Tan, Cedric Kai Wei, Cushman, Samuel A.

“…Our results have strong implications for SDM development, revealing the inconsistencies introduced by the choice of algorithm on scale optimisation, with GLM selecting broader scales than RF.…”
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Replica Creation Algorithm for Data Grids by Madi, Mohammed Kamel

“…Current algorithms focus on number of accesses in deciding which file to replicate and where to place them, which ignores resources’ capabilities. …”
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Dynamic replica replacement strategy in data grid by Soosai, Alexis M., Abdullah, Azizol, Othman, Mohamed, Latip, Rohaya, Sulaiman, Md. Nasir, Ibrahim, Hamidah

“…The performance evaluation of LVR and other replication algorithms are carried out by simulation. …”
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An improved scatter search algorithm for parameter estimation in large-scale kinetic models of biochemical systems by Remli, Muhammad Akmal, Mohamad, Mohd Saberi, Deris, Safaai, Sinnott, Richard, Napis, Suhaimi

“…The algorithm is tested using a large-scale metabolic model of Chinese Hamster Ovary (CHO) cells. …”
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Depression prediction using machine learning: a review by Abdul Rahimapandi, Hanis Diyana, Maskat, Ruhaila, Musa, Ramli, Ardi, Norizah

“…Predicting depression can mitigate tragedies. Numerous works have been proposed so far using machine learning algorithms. …”
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An Improved Scatter Search Algorithm for Parameter Estimation in Large-Scale Kinetic Models of Biochemical Systems by Muhammad Akmal, Remli, Mohd Saberi, Mohamad, Safaai, Deris, Sinnott, Richard O., Suhaimi, Napis

“…It is the process to find nearoptimal values of kinetic parameters which may culminate in the best fit of model prediction to experimental data. Methods: This paper proposes an improved scatter search algorithm to address the challenging parameter estimation problem. …”
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A cluster-based hybrid replica control protocol for high availability in data grid by Mabni, Zulaile

“…Another proposed algorithm is replica placement algorithm which selects and places only one replica in each cluster. …”
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Artificial intelligence modelling approach for the prediction of CO-rich hydrogen production rate from methane dry reforming by Ayodele, Bamidele V., Siti Indati, Mustapa, Alsaffar, May Ali, Cheng, C. K.

“…This study investigates the applicability of the Leven–Marquardt algorithm, Bayesian regularization, and a scaled conjugate gradient algorithm as training algorithms for an artificial neural network (ANN) predictively modeling the rate of CO and H2 production by methane dry reforming over a Co/Pr2O3 catalyst. …”
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Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

“…In addition to having all the features of sequential algorithm, this algorithm has far less time complexity and has higher processing speed in voting process in large scale systems. …”
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Artificial intelligence modelling approach for the prediction of CO-rich hydrogen production rate from methane dry reforming by Ayodele B.V., Mustapa S.I., Alsaffar M.A., Cheng C.K.

“…This study investigates the applicability of the Leven�Marquardt algorithm, Bayesian regularization, and a scaled conjugate gradient algorithm as training algorithms for an artificial neural network (ANN) predictively modeling the rate of CO and H2 production by methane dry reforming over a Co/Pr2O3 catalyst. …”

Development of an artisanal fermentation: case studies on Carica papaya leaf and Garcinia Mangostana pericarp / Mohamad Sufian So’aib by So’aib, Mohamad Sufian

“…Selected feedforward ANN models with embedded Levenberg-Marquardt algorithm and hyperbolic tangent sigmoid transfer function demonstrated statistical robustness in predicting the process responses. …”
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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…From a Bayesian perspective, we design a sequential prediction algorithm to exactly compute the predictive inference of the random field. …”
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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…From a Bayesian perspective, we design a sequential prediction algorithm to exactly compute the predictive inference of the random field. …”
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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…From a Bayesian perspective, we design a sequential prediction algorithm to exactly compute the predictive inference of the random field. …”
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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…From a Bayesian perspective, we design a sequential prediction algorithm to exactly compute the predictive inference of the random field. …”
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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields by Xu, Y., Choi, J., Dass, S., Maiti, T.

“…From a Bayesian perspective, we design a sequential prediction algorithm to exactly compute the predictive inference of the random field. …”
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River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms—A Case Study in Malaysia by Mustafa, M.R., Rezaur, R.B., Saiedi, Saied, Isa, M.H.

“…It was concluded that both training algorithms SCG and LM could be recommended for suspended sediment prediction using MLP networks. …”
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Performance Measurement on Deep Spiking Neural Network (DSNN) Algorithm in Flood Prediction Environment by Roselind, Tei

“…There are several algorithms used to predict floods, including LSTM, BP, MLP, SARIMA, and SVM. …”
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Multivariate Optimization of Biosynthesis of Triethanolamine-Based Esterquat Cationic Surfactant Using Statistical Algorithms by Fard Masoumi, Hamid Reza

“…The next objective of the current study was to compare the performance of aforementioned algorithms with regard to predicting ability. The investigation of TEA-based esterquat cationic surfactant synthesis was started in a 50 ml scale. …”
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Performance Comparison of Neural Network Training Algorithms for Modeling Customer Churn Prediction by Mohd Khalid, Awang, Mohammad Ridwan, Ismail, Mokhairi, Makhtar, M Nordin, A Rahman, Abd Rasid, Mamat

“…This paper presents a comparison of neural network learning algorithms for customer churn prediction. The data set used to train and test the neural network algorithms was provided by one of the leading telecommunication company in Malaysia. …”
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