Search Results - (( variable spanning _ algorithm ) OR ( java application optimisation 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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Interval elimination method for stochastic spanning tree problem by Mohd, Ismail

“…The optimum spanning tree problem has been well considered and until now several powerful algorithms have been proposed. …”
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Development of Genetic Algorithm Procedure for Sequencing Problem in Mixed-Model Assembly Lines by Noroziroshan, Alireza

“…All data is taken from literature and the result obtained from genetic algorithm procedure for the first production strategy is compared to study mentioned in literature which represents an improvement of 5% in shortening the make-span for one set of product. …”
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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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Optimum MV Feeder Routing and Substation siting and rating in Distribution Network by Hasan, Ihsan Jabbar, Ab Ghani, Mohd Ruddin, Gan, Chin Kim

“…This paper proposes an evolutionary algorithm to determine the optimum distribution substation placement and sizing by using the particle swarm optimization algorithm and optimum feeder routing using modified minimum spanning tree algorithm. …”
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A proposed algorithm of random vector in measuring similarity for network topology of Bursa Malaysia by Lim, San Yee

“…However, the economic information from other variables may inaccurate if the analysis is conducted by applying single variable only. …”
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Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA by Zahari, Taha, Farzad, Tahriri, Siti Zawiah, Md Dawal

“…A new multiobjective dynamic fuzzy genetic algorithm is applied to solve a fuzzy mixed-model assembly line sequencing problem in which the primary goals are to minimize the total make-span and minimize the setup number simultaneously. …”
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Enhancing wind power forecasting accuracy with hybrid deep learning and teaching-learning-based optimization by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

“…Using a real dataset spanning diverse weather conditions and turbine specifications collected between January 2018 and March 2020, the study employs 18 features as inputs, including Ambient Temperature, Wind Direction, and Wind Speed, with real power output in kW as the target variable. …”
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Towards personalized intensive care decision support using a Bayesian network: A multicenter glycemic control study by Abu-Samah A., Razak N.N.A., Suhaimi F.M., Jamaludin U.K., Chase J.G.

Linking Bayesian Network and Intensive Care Units Data: A Glycemic Control Study by Abu-Samah A., Abdul Razak N.N., Mohamad Suhaimi F., Jamaludin U.K., Chase G.

Multiobjective Fuzzy Mixed Assembly Line Sequencing Optimization Model by Tahriri, Farzad, Siti Zawiah, Md Dawal, Zahari, Taha

“…Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.…”
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Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings by Homod R.Z., Gaeid K.S., Dawood S.M., Hatami A., Sahari K.S.

Predicting Post-Internship Employability Using Ensemble Machine Learning Approach by Aiza Azlin, Kahlik, Abdulrazak Yahya, Saleh

“…Employing a machine learning approach on a dataset comprising student records from Universiti Malaysia Sarawak spanning from 2019 to 2021, we compared the performance of various algorithms, including ensemble methods. …”
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Long-term optimal planning for renewable based distributed generators and battery energy storage systems toward enhancement of green energy penetration by ALAhmad A.K., Verayiah R., Shareef H.

“…To solve the optimization planning model, a hybrid optimization algorithm is proposed, combining the non-dominating sorting genetic algorithm (NSGAII) and multi-objective particle swarm optimization (MOPSO). …”

Profiling reviewers’ social network strength and predicting the “Helpfulness” of online customer review by Bilal, M., Marjani, M., Hashem, I.A.T., Malik, N., Lali, M.I.U., Abdullah Gani

“…Furthermore, the performance of Machine Learning (ML) algorithms and the importance of features are separately examined for both problems using different time span of reviews. …”
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An investigation of structural breaks on spot and futures crude palm oil returns by Zainudin, Rozaimah, Shaharudin, Roselee Shah

“…Using the Inclan and Tioa Iterated Cumulative Sums of Squares (ICSS) algorithm procedures, we proceed to identify any structural changes in series variance. …”
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Development of machine learning models for estimation of daily evaporation and mean temperature: a case study in New Delhi, India by Rajput J., Kushwaha N.L., Srivastava A., Pande C.B., Suna T., Sena D.R., Singh D.K., Mishra A.K., Sahoo P.K., Elbeltagi A.

“…s semi-arid climate, data spanning 31 years (1990?2020) were used to predict these variables using advanced algorithms such as Bagging, Random Subspace (RSS), M5P, and REPTree. …”

Bioinformatics analysis and spatiotemporal distribution of the f lic gene and its protein isolated from Escherichia coli-infected patients in Eastern Algeria by Harrar, Abdenassar, Awang Hamat, Rukman, Hamidechi, Mohamed Abdelhafid

“…Finally, a phylogenetic tree was constructed using the maximum likelihood algorithm in MEGA 11 software. Results: Bioinformatics analysis highlighted the strong conservation of the structures of the fliC protein sequences, especially at the two N- and C-terminal ends, and strong variability in the central zone. …”
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Bioinformatics analysis and spatiotemporal distribution of the fliC gene and its protein isolated from Escherichia coli-infected patients in eastern Algeria by Harrar, Abdenassar, Hamat, Rukman Awang, Hamidechi, Mohamed Abdelhafid

“…Finally, a phylogenetic tree was constructed using the maximum likelihood algorithm in MEGA 11 software. Results: Bioinformatics analysis highlighted the strong conservation of the structures of the fliC protein sequences, especially at the two N-and C-terminal ends, and strong variability in the central zone. …”
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Predictive modelling of student academic performance using machine learning approaches : a case study in universiti islam pahang sultan ahmad shah by Nurul Habibah, Abdul Rahman

“…The predictive algorithm can also be added to the Learning Management System along with a dashboard so that it is easier to do analyses in the future.…”
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