Search Results - (( developing procurement implementation algorithm ) OR ( java implementation tree algorithm ))
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Evolutionary Algorithms In Auction Models Of Service Procurement
Published 2019“…Therefore, this research proposed an implementation of genetic algorithm (GA) with knowledge based operators as an alternative to approximate the solution.…”
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Thesis -
2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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4
Predicting YSPSAH's product preferences across department of private hospitals
Published 2025“…An interactive Power BI dashboard was developed to visualise product predictions and MBA results, providing stakeholders with clear and actionable insights to support data-driven procurement decisions. …”
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5
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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6
Strategies for effective value management practice in construction industry
Published 2017“…The objectives were to develop a new optimisation algorithm and apply the results to control construction project costs. …”
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7
Prioritisation assessment and robust predictive model for a comprehensive medical equipment maintenance using machine learning techniques / Aizat Hilmi Zamzam
Published 2022“…The datasets are established according to nineteen features and criteria for this study. The development of predictive models for objectives 1 and 2 of this study involves the application of seven supervised machine learning algorithms. …”
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Let’s collaborate’: Malaysian TVET-engineering institution and industry partnership
Published 2022“…Then, the data were analysed using the PLS-SEM 3.3.9 software via the algorithm, bootstrapping and blindfolding method. …”
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