Search Results - (( java implementation tree algorithm ) OR ( problem using implication algorithm ))
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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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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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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. …”
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A Method for Mapping XML DTD to Relational Schemas In The Presence Of Functional Dependencies
Published 2008“…To approach the mapping problem, three different components are explored: the mapping algorithm, functional dependency for XML, and implication process. …”
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UTeM navigation system: pedestrian and traffic sign detection using CNN algorithm
Published 2022“…The system using algorithm using CNN as an algorithm and the architecture used is Tiny-YOLOv2 to detect traffic signs and pedestrians. …”
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Real-Time Optimal Trajectory Correction (ROTC) for autonomous quadrotor / Noorfadzli Abdul Razak
Published 2018“…Integrating a trajectory correction algorithm in the navigation control can overcome this problem. …”
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Assessment of using EZ-Prog: an easy color schematic model for programming problem solving
Published 2020“…The implications of this study indicate that EZ-Prog can be used in learning and teaching algorithms, especially programming problems. …”
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Manufacturing process planning optimisation in reconfigurable multiple parts flow lines
Published 2008“…Design/methodology/approach: The genetic algorithm methodology implements a genetic algorithm that is augmented by application specific heuristics in order to guide the search for an optimal solution. …”
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Sony applicant recruitment system using fuzzy logic / Nik Zurifa Nabilah Zulkifli
Published 2022“…Fuzzy Logic algorithms have adapted to fit a wide range of uses. …”
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Optimization ofhybrid flow shop scheduling in a machine shop: Achieving energy efficiency and minimizing machine idleness with multi-objective Tiki Taka optimization
Published 2025“…The EE-HFS was optimized using Multi-Objective Tiki Taka Optimization (MOTTA).The study considered machine idle time as a key factor influencing energy efficiency, incorporating it into the scheduling evaluation.The optimization result was compared to established algorithms, such as the Non-dominated Sorting Genetic Algorithm-II, the Multi-ObjectiveEvolutionary Algorithm Based on Decomposition, the Multi-ObjectiveParticle Swarm Optimization,and the recent algorithm,the Multi-ObjectiveGrey Wolf Optimizer. …”
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Robust Portfolio Mean-Variance Optimization for Capital Allocation in Stock Investment Using the Genetic Algorithm: A Systematic Literature Review
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A fuzzy approach for early human action detection / Ekta Vats
Published 2016“…This is a crucial step as it is the first attempt of using fuzzy BK subproduct for classification. The second part of this thesis studies the problem of early human action detection. …”
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Optimization of hybrid flow shop scheduling in a machine shop: Achieving energy efficiency and minimizing machine idleness with multi-objective Tiki Taka optimization
Published 2025“…The optimization result was compared to established algorithms, such as the Non-dominated Sorting Genetic Algorithm-II, the Multi Objectives Evolutionary Algorithm Based on Decomposition, the Multi Objectives Particle Swarm Optimization, and the recent algorithm Multi Objectives Grey Wolf Optimizer. …”
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Investigating the cognitive processes in solving management science problems
Published 2010“…In terms of solving MS/OR problems, the problem structuring methods have been used for ill-structured problems, while linear programming was used for well-structured problems. …”
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The effectiveness of problem-based serious games on learning and learning motivation in the context of 3D computer graphics / Meisam Moradi
Published 2022“…The problem-based model presented by Hmelo-Silver (2004) was used as the basis of the game design. …”
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A balanced partitioning mechanism for multicontroller placement in software-defined wide area networks
Published 2022“…The K-means and CNPA algorithms, in particular, were used to evaluate the performance of BPM. …”
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