Search Results - (( java application optimisation algorithm ) OR ( basic relationship model algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

“…This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.…”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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The basics of multi-layer feedforward neural networks / Nurul Aityqah Yaccob and Farizuwana Akma Zulkifle by Yaccob, Nurul Aityqah, Zulkifle, Farizuwana Akma

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Effort Estimation Model for Function Point Measurement by Koh, Tieng Wei

“…This research work has generated an algorithmic effort estimation model for function points measurement. …”
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Neural Network – A Black Box Model by Kuok, Kuok King, Chan, Chiu Po, Md. Rezaur, Rahman, Khairul Anwar, Mohamad Said, Chin Mei, Yun

“…To date, ANN has been successfully adopted in streamflow prediction, rainfall-runoff modeling, groundwater modeling, water quality modeling, and water demand forecasting.…”
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Identification model for hearing loss symptoms using machine learning techniques by Nasiru Garba Noma

“…The model is implemented using both unsupervised and supervised machine learning techniques in the form of Frequent Pattern Growth (FP-Growth) algorithm as feature transformation method and multivariate Bernoulli naïve Bayes classification model as the classifier. …”
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Interval-valued fuzzy soft topology and its applications in group decision-making problems by Altwer, Mabruka Ali Juma

“…In the literature, there are various interval-valued fuzzy soft set-based decision-making algorithms. However, these algorithms are unable to overcome the issue of comparable alternatives, and as a result, they might well be ignored due to a lack of a comprehensive model. …”
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Comparison of conjugate gradient methods for developing the multiple linear regression model for rice production in Malaysia / Nur Atikah Mustapha by Mustapha, Nur Atikah

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A Refined Immune Systems Inspired Model For Multi-robot Shepherding by Razali, Sazalinsyah, Meng, Qinggang, Yang, Shuang-Hua

“…The relationship between immune systems and multi-robot systems are also discussed. …”
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Dynamical fuzzy autocatalytic set of combustion process in circulating fluidized bed boiler using transition matrix / Hazwani Hashim by Hashim, Hazwani

“…The improvised GDAis able to reduce computer running time as compared to previous algorithm and able to deals with a sparse graph. Implementation of the algorithm to graphical FACS model of CFB shows that it is able to better explained the combustion process in terms of depletion species over time t and important species which denotes as by-product of the combustion is shown to be in accordance to the real process. …”
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A Refined Immune Systems Inspired Model for Multi-Robot Shepherding by Razali, Sazalinsyah, Meng, Qinggang, Yang, Shuang-Hua

“…The relationship between immune systems and multi-robot systems are also discussed. …”
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An investigation of structural breaks on spot and futures crude palm oil returns by Zainudin, Rozaimah, Shaharudin, Roselee Shah

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User to user topic recommendation model for student social interaction by Ahmad Subhi, Zolkafly

“…Then, a newly developed algorithm called the Social Recommendation (SAR) algorithm ranked and recommended the best topic for social interaction. …”
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Design and Development of a Vision System Interface for Three Degree of Freedom Agricultural Robot by Omrane, Bouketir

“…This differential system represents the dynamic model, which describes relationships between robot motion and forces causing that motion. …”
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POISSON EQUATION FOR ELECTROSTATIC FIELD USING THE FINITE DIFFERENCE METHOD by IFFAH FATHANAH, AHMAD RAZALI

“…It is a useful approach to the calculation to relate the charge density by the divergence relationship. The basic main equations are derived directly so that the algorithm can be extended from the classical Poisson equation to the generalized Poisson equation in order to include the effects of varying dielectrics within the domain. …”
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Voltage clamp simulations of cardiac excitation: FPGA implementation by Mahmud, Farhanahani, Mahamad, Abd Kadir, Jabbar, M. Hairol, Othman, Norliza, Adon, Nur Atiqah

“…For shorter time development while retaining high confidence results, FPGA-based rapid prototyping through HDL Coder from MATLAB software has been used to construct the algorithm for the simulation system. Basically, the HDL Coder is capable to convert the designed MATLAB Simulink blocks into hardware description language (HDL) for the FPGA implementation. …”
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Transtheoretical model of change for weight control in Malaysian context by Chang, Ching Thon

“…The Stages of Change algorithm was able to classify the respondents into different Stages of Change to lose weight. …”
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Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation by Moh'd Radwan, Eyad Moh'd

“…Therefore, such relationship is maintained by external control methods. …”
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Predictive modeling and feature attribution of CO₂ adsorption on LDH-derived materials using machine learning approach by Pinto, Mavin Jason, Sharath, S. S., Sudhakar, K., Priya, S. Shanmuga, Thirunavukkarasu, I.

“…Two-factor dependence plots offered an explicit view of how the interaction between two input features influences the model’s prediction. SHapley Additive exPlanations (SHAP), an advanced interpretability method, was applied to the CatBoost model to investigate CO₂ adsorption behaviour. …”
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