Search Results - (( java implementation tree algorithm ) OR ( program sample _ algorithm ))
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1
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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Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system
Published 2023“…Adaptive control systems; Controllers; Fuzzy neural networks; Fuzzy systems; Motion planning; Robot programming; Robots; Tabu search; Adaptive neuro fuzzy inference systems (ANFIS); Adaptive neuro-fuzzy inference system; ANFIS; Fuzzy controllers; Motion planning algorithms; Sampling-based algorithms; Sampling-based motion planning; Unknown environments; Fuzzy inference…”
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The impact of virtual reality on programming algorithm courses on student learning outcomes
Published 2024“…This study aims to determine the impact of VR compared to traditional learning in improving student learning outcomes on programming algorithm materials. The method applied was a quasi-experimental design through pretest and posttest. …”
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Implementing frequency translation by adapting digital phase shifter for WCDMA using XILINX: article
Published 2009“…Algorithm of the design will be written in VHDL programming Language which then simulated through Modelsim SE 6.3f. …”
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Software regression test case prioritization for object-oriented programs using genetic algorithm with reduced-fitness severity
Published 2015“…And even though several of the code based addresses procedural programs. Some researchers addressed the issue of test case prioritization using Genetic Algorithm, but the authors do not select modification-revealing before prioritization and used the same fault severity. …”
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Quality checking and inspection based on machine vision technique to determine tolerancevalue using single ceramic cup
Published 2017“…The design of the algorithm is to detect the sign of defect when a sample of the product is used for inspection purposes. …”
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Quality checking and inspection based on machine vision technique to determine tolerance value using single ceramic cup
Published 2016“…The development of an algorithm for inspection and quality checking using machine vision was discussed in this paper, in which the design of the algorithm is to detect the sign of defect when a sample of the product is used for inspection purposes. …”
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Implementation frequency translation by adapting digital phase shifter for WCDMA using XILINX
Published 2009“…Algorithm of the design will be written in VHDL programming Language which then simulated through Modelsim SE 6.3f. …”
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1D Multigrid Solver For Finite Element Method
Published 2022“…Usually, the mathematical problem can be solved using only one of those two methods. A sample of such code written in MATLAB programming language was found in the GitHub repository, where the implemented algorithms are far from optimal. …”
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Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir
Published 2019“…It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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The implementation of post-processing data thinning for multibeam echo sounding data
Published 2006“…This paper elaborates on the development of data thinning programs using Microsoft Visual Basic Version 6. Various algorithms namely Douglas Peucker, Single Swathe Reducer and Skip N Points are referred. …”
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Predicting uniaxial compressive strength using Support Vector Machine algorithm
Published 2019“…More robust prediction can be established with bigger sample number. It is worth mentioning, that the program module that has been set up could be used repeatedly for other correlation problems.…”
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Impact learning: A learning method from feature's impact and competition
Published 2023“…Machine learning algorithms build a model from sample data, called training data, to make predictions or judgments without being explicitly programmed to do so. …”
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Test of Self Por [decoded] trait no. 2 / Syafiq Abdul Samat
Published 2021“…Inspired by some of the generative art made via programming, I was able to create my own algorithmic concept, using these “noises” as factors or variables to affect the creation of the proposed visual. …”
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Impact learning : A learning method from feature’s impact and competition
Published 2023“…Machine learning algorithms build a model from sample data, called training data, to make predictions or judgments without being explicitly programmed to do so. …”
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Performance comparison of linear and non-linear great deluge algorithms in solving university course timetabling problems
Published 2017“…This research does not focus on hard constraints involved as the initial solution is solved based on Constraint Programming algorithm. The GD algorithm is tested over three benchmark datasets: testing dataset; semester 2 session 2014/2015 test set; semester 1 session 2015/2016 test set. …”
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Determining Suitable Program For SPM Holder Using Neural Network Approach
Published 2002“…The sample data has been collected from 4 study programs in four Ministry of Education Matriculation Centre, from UiTM and Shahputra College. …”
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Electroencephalogram signal interpretation system for mobile robot
Published 2013“…Using sample datasets, the EEG signal is analyzed to determine the most suitable scalp area for P300 detection, while optimization with genetic algorithm (GA) is developed to select best four channels. …”
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