Search Results - (( developing consumer choice algorithm ) OR ( java implication based algorithm ))
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Movie recommendation using user-based collaborative filtering algorithm / Nur Ayuni Izlin Mat Ishor
Published 2019“…The program will use community opinion and help other users to be more effective in identifying the recommendation based on their preferences from a possible enormous set of choice. As we know, everybody loves watching a movie, the needs of the suggestion of movie highly demand from the movie consumer. …”
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SRcS: Smartphone Recommendation System using genetic algorithm / Nursalsabiela Affendy Azam
Published 2020“…Thus, the objective of the system is to design and develop a progressive web application (PWA) recommendation system for purchasing a smartphone by using genetic algorithm and test the system functionality. …”
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Optimal under voltage load shedding based on stability index by using artificial neural network
Published 2020“…The developed algorithm was tested on IEEE 33-Bus and IEEE 69-Bus radial distribution systems. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Development of a new approach for deterministic supply chain network design
Published 2008“…The most difficulty associated with the Benders’ decomposition is the solution of master problem, as in many reallife problems the model will be NP-hard and very time consuming. In the proposed procedure, the master problem will be developed using the surrogate constraints. …”
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Implications of the Middle East Emerging Markets on International Portfolio Diversification
Published 2010“…In the stage four, analyses are done by including developed markets represented by the USA, the UK and Japan. …”
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Parameter estimation of Kumaraswamy Burr type X models based on cure models with or without covariates
Published 2017“…Based on the problem stated, we develop a new model using the method of confounding the existing parametric models by adopting the BX model as the baseline distribution. …”
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Prediction of rice biomass using machine learning algorithms
Published 2022“…However, they are destructive, laborious, time-consuming, impractical for large fields, and subject to human error. …”
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