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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…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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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…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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Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions
Published 2023“…A new approach for Fuzzification and Defuzzification processes of a high degree of overlapping between the linguistic variables through proportional and relative-dynamic-scale membership functions is presented in this paper. …”
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CTJ: Input-output based relation combinatorial testing strategy using Jaya algorithm
Published 2019“…Combinatorial testing is the way to encounter exhaustive testing through the testing of every input values and every combination between parameters. Combinatorial testing can be divided into three types which are uniform strength interaction, variable strength interaction and input-output based relation (IOR). …”
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CTJ: Input-output based relation combinatorial testing strategy using Jaya algorithm
Published 2019“…Combinatorial testing is the way to encounter exhaustive testing through the testing of every input values and every combination between parameters. Combinatorial testing can be divided into three types which are uniform strength interaction, variable strength interaction and input-output based relation (IOR). …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility
Published 2024“…Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. …”
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Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…System identification is a method of determining a mathematical relation between variables and terms of a process based on observed input-output data. …”
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Hybrid ACO and SVM algorithm for pattern classification
Published 2013“…This is achieved by performing the SVM parameters’ tuning and feature subset selection processes simultaneously. Hybridization algorithms between ACO and SVM techniques were proposed. …”
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Identification of continuous-time hammerstein model using improved archimedes optimization algorithm
Published 2024“…This proposed algorithm also discerned linear and nonlinear subsystem variables within a continuous-time Hammerstein model utilizing input and output data. …”
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Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks
Published 2015“…In this paper, the important issues related with the best input variable selection for a hybrid model is addressed. …”
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Security analysis of blowfish algorithm
Published 2013“…The results obtained from the analysis of correlation coefficient showed that Blowfish algorithm gives a good non-linear relation between plaintext and ciphertext while the results of avalanche effect indicate that the algorithm presents good avalanche effect from the second round. …”
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The efficiency of conjugate gradient methods with global convergence / Siti Nur Hafiza Shamsudin
Published 2019“…Conjugate gradient methods are usually used to solve any problem that related to large number of variables such as a large linear system of equations. …”
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A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
Published 2014“…Design/methodology/approach: In the first stage, constraint programming defining the relationships between variables was formulated into the objective function. …”
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Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree regression, linear reg...
Published 2022“…The four machine learning algorithms exhibit high predictive performances, generally ascertaining the predictive accuracy of the climatic variables. …”
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Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree regression, linear reg...
Published 2022“…The four machine learning algorithms exhibit high predictive performances, generally ascertaining the predictive accuracy of the climatic variables. …”
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Survey on input output relation based combination test data generation strategies
Published 2015“…Combinatorial test data generation strategies have been known to be effective to detect the fault in the product due to the interaction between the product’s features. Over the years, many combinatorial test data generation strategies have been developed supporting uniform and variable strength interactions. …”
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Security analysis of blowfish algorithm
Published 2013“…The results obtained from the analysis of correlation coefficient showed that Blowfish algorithm gives a good nonlinear relation between plaintext and ciphertext while the results of avalanche effect indicate that the algorithm presents good avalanche effect from the second round.C++ is used in the implementation of the blowfish algorithm; MATLAB programming (Mathworks, R., 2012a) is used in the implementation of avalanche effect and correlation coefficient.…”
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The Estimation of Air Temperature from NOAA/AVHRR Images and the study of NDVI-Ts impact
Published 2011“…In addition it was found that the NDVI-Ts relation is sensitive to surface moisture condition. …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…The broadcasting in this algorithm is governed by the inverse relation between the number of neighbors and the probability of the rebroadcasted RREQ messages. …”
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