Modeling the electrical parameters in EDM process of Ti6Al4V alloy using Neural Network method by Al Hazza, Muataz Hazza Faizi, Mohammed , Baba Ndaliman, muhammad, Hasibul hasan, Mohammad , Yeakub Ali, Khan, Ahsan Ali

“…Electrical discharge machining (EDM) is a very complex and stochastic process. Thus, it is difficult to predict or to estimate its output characteristics accurately by mathematical models. …”
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Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman by Seman, Noraini

“…However, due to the stochastic nature of this algorithm, the learning process can reach an optimal solution with much higher probability than many standard neural network techniques.…”
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The impact of foreign shareholdings and originating countries on banking sector efficiency by Chan, S.G., Koh, E.H.Y.

“…This study analyses the effects of foreign shareholdings on the ASEAN-5 banking sector performance using the Stochastic Frontier Analysis based Battese and Coelli (1995) model. …”
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Construction firm’s efficiency in Malaysia by Zahariah Sahudin, Wan Mansor Wan Mahmood, Zaidi Isa, Aminah Shari

“…Therefore, this paper examines the technical efficiency of Shariah-compliant construction firms in Malaysia for the year between 2002 through 2011. Using Stochastic Frontier Approach (SFA) with one output (profit) and four inputs (labour costs, physical capital, financial capital and current asset) the results indicated that average technical efficiency is 55.59%, an indication of input waste of 44.41%, in terms of labour, financial capital, physical capital and current assets in producing an output. …”
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Zero root-mean-square error for single- and double-diode photovoltaic models parameter determination by Mohammed Ridha, Hussein, Hizam, Hashim, Mirjalili, Seyedali, Othman, Mohammad Lutfi, Ya’acob, Mohammad Effendy

“…This may be extremely helpful both practically and theoretically in the PV system simulation, optimization, and evaluation. Numerous stochastic methods have been widely utilized in recent decades to tackle the parameter extraction optimization problem. …”

CSGO: a game-inspired metaheuristic algorithm for global optimization by Rahman, Tuan A. Z., Md Rezali, Khairil Anas, As'arry, Azizan

“…This optimizer algorithm is developed by assembling impressive features of previous well-known optimizer algorithms such as stochastic fractal search (SFS), artificial gorilla troops optimizer (GTO) and marine predators algorithm (MPA) with addition of chaotic operators. …”

A hybrid evaluation metric for optimizing classifier by Hossin, Mohammad, Sulaiman, Md. Nasir, Mustapha, Aida, Mustapha, Norwati, O. K. Rahmat, Rahmita Wirza

“…We also empirically demonstrate that a naive stochastic classification algorithm trained with the OARP metric is able to obtain better predictive results than the one trained with the conventional accuracy metric. …”
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Kriging-assisted robust black-box simulation optimization in direct speed control of DC motor under uncertainty by Parnianifard, Amir, Ahmad, Siti Azfanizam, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Mohd Idris Shah

“…This paper aims to tackle these features by proposing a comprehensive methodology applied to black-box stochastic simulation models under uncertainty. For this purpose, the common surrogate model as Kriging metamodel is served to fit the simulation input-output data produced by Latin hypercube sampling experimental design. …”
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Review of nitrogen compounds prediction in water bodies using artificial neural networks and other models by Kumar, Pavitra, Sai, Hin Lai, Jee, Khai Wong, Mohd, Nuruol Syuhadaa, Kamal, Md Rowshon, Afan, Haitham Abdulmohsin, Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…A precise prediction model guarantees the delivering of better-quality water for human use, as the operations of various water treatment plants depend on the concentration of nitrogen in streams. Considering the stochastic nature and the various hydrological variables upon which nitrogen concentration depends, a predictive model should be efficient enough to account for all the complexities of nature in the prediction of nitrogen concentration. …”

Adaptive neuro-fuzzy model with fuzzy clustering for nonlinear prediction and control by Al-Himyari, Bayadir Abbas, Yasin, Azman, Gitano, Horizon

“…One area of particular importance is the design of networks capable of modeling and predicting the behavior of systems that involve complex, multi-variable processes.To illustrate the applicability of the neuro-fuzzy networks, a case study involving air-fuel ratio is presented here.Air- fuel ratio represents complex, nonlinear and stochastic behavior.To monitor the engine conditions, an adaptive neuro-fuzzy inference system (ANFIS) is used to capture the nonlinear connections between the air- fuel ratio and control parameters such manifold air pressure, throttle position, manifold air temperature, engine temperature, engine speed, and injection opening time.This paper describes a fuzzy clustering method to initialize the ANFIS.…”
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Cost efficiency measurement of leasing companies with SFA and DEA approach by Baten, Md Azizul, Hasan, A. H. M. Saidul

“…Therefore, this paper is aimed to measure the cost efficiencies of 15 leasing companies from 2002 to 2008 by applying both SFA and DEA models with four inputs and two outputs.The results suggest that leasing companies have generally less experience in the allocation of resources and in the improvement of cost efficiency.The coefficients of Interest revenue and Non Interest revenue are found significant and positive effects on the cost efficiency of the leasing company in case of stochastic cost frontier model. The results of technical efficiency and allocative efficiency are combined to provide a measure of total cost efficiency in case of cost data envelopment analysis.The lowest cost efficiency (39.6%) for Union Capital Limited, and highest cost efficiency (89.7%) for International Leasing & Financial S.Ltd., is observed in case of cost data envelopment analysis.…”
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Benchmark simulator with dynamic environment for job scheduling in grid computing by Ku-Mahamud, Ku Ruhana

“…Characteristics of jobs and resources to be used in evaluating the performance of the scheduling algorithm must reflect the dynamic nature of real grid environment.Static models of jobs and resources cannot be used to generate jobs and resources in simulating the grid environment because of the dynamic nature of the grid.This paper presents a new graph representation of jobs and resources which is practical for hybrid metaheuristic model implementation such as ant colony optimization and genetic algorithm.A dynamic model that can generate jobs and resources similar to the jobs and resources in the real grid environment is also proposed.Jobs and resources may join in or drop out from the grid.Stochastic analysis is performed on the characteristics of jobs and resources.A simulator based on the dynamic expected time to compute, has been developed and can be used as a benchmark.The simulator can generate jobs and resources with the characteristics of jobs and resources in the real grid environment.This will facilitates the evaluation of dynamic job scheduling algorithm.…”
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Technical efficiency of small scale food industries: The case of Kedah and Perlis by Yunus, Ibrahim

“…The most important problems of entrepreneurs found in this study were limited export market thus limit for further expansion of small scale food industries.In addition the entrepreneurs still adopting the traditional type of production which may be time consuming and this lead to become inefficient in the process of production.An econometric technique of the Stochastic Frontier Production function approach was applied whereby technical efficiency was measured.The results showed that technical efficiencies were rather low among the small scale food manufacturers.This is due to changing structure and labor saving technologies which focus towards modernization of the food industry. …”
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Analytical hierarchy process and Markov Chain in shared knowledge through social media by Sulaiman, Nor Intan Saniah, Ghazali, Saadiah, Zabidi, Nerda Zura, Omar, Mohd Faizal, Alias, Rose Alinda

“…Many studies have been performed to measure successful knowledge sharing in general.However, limited study has been done to assess successful knowledge sharing through social media.Hence, in this paper intend to discuss our approach to assess knowledge sharing among personal social media user.In order to achieve our objective, we proposed to integrate Analytic Hierarchy Process (AHP) and Markov Chain (MC) technique to investigate the pattern of the shared knowledge through social media.Markov Chain will be used to model the knowledge sharing success through expert opinion and stochastic process.We anticipate the outcome of the assessment in a form of a final matrix showing the probability of successful knowledge sharing through social media.The elements in each row of the Markov Chain transition matrix will be calculated using Analytic Hierarchy Process. …”
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Modeling emergency department using a hybrid simulation approach by Ahmad, Norazura, Abdul Ghani, Noraida, Kamil, Anton Abdulbasah, Mat Tahar, Razman

“…Discrete-event simulation (DES) has become a popular and effective decision-making tool for modeling the stochastic operational activities in a system. However for a whole system approach, system dynamics (SD) has advantages over DES. …”

Fireflyclust: an automated hierarchical text clustering approach by Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza

“…Results on the TREC collection named TR11, TR12, TR23 and TR45, showed that the FireflyClust is a better approach than the Bisect K-means, hybrid Bisect K-means and Practical General Stochastic Clustering Method. Such a result would enlighten the directions in developing a better information retrieval engine for this dynamic and fast growing big data era.…”
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The determinants of Bank Cost Inefficiency in ASEAN Banking by Izah Mohd Tahir, Abdul Mongid, Sudin Haron

“…First, we estimate the cost inefficiency using the Stochastic Frontier Analysis. Second, we regress the estimated cost inefficiencies on a set of bank specific variables (size, equity to total asset, loan to total asset, personnel expenses to total expenses) and environmental variables (corruption, economic growth and economic freedom) using a Tobit regression analysis. …”
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The performance of unit trust industry in Malaysia by Aminah Shari, Zahariah Sahudin

“…A total of 36 fixed income funds and 109 equity funds were evaluated using stochastic frontier analysis (SFA) technique with three inputs (expense ratio, portfolio turnover ratio, and fund management stated fee) and one output variable (return). …”
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A Simplified Consensus Protocol Simulator With Applications On Proof Of Contribution-X by Peter, Oyinloye Damilare

“…SIM-P is an agent-based stochastic simulator that relies on the sequential Monte Carlo method to model how block publishers are selected. …”
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Parallel Processing Models For Image Processing Problems by Salleh, Shaharuddin, Sanugi, Bahrom

“…First, we look at the stochastic task scheduling problem using the reconfigurable mesh network as the computing platform. …”
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