Search Results - (( program using ((eeg algorithm) OR (tree algorithm)) ) OR ( java implication based algorithm ))
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Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…Empirical result demonstrates that the proposed algorithm can be used to join two spatial objects in constructing a spatial decision tree from a spatial dataset. …”
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Classification of Google Play application using decision tree algorithm on sentiment analysis of text reviews / Aqil Khairy Hamsani, Ummu Fatihah Mohd Bahrin and Wan Dorishah Wan A...
Published 2023“…The project's objectives are to study the classifying approach of Google Play Store application reviews using the Decision Tree algorithm, develop a prototype of a classifying application program, and evaluate the accuracy model of the review classification program. …”
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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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Building customer churn prediction models in Indonesian telecommunication company using decision tree algorithm
Published 2023“…Preventive efforts are needed by predicting the value of churn in the future. This study uses data mining techniques with decision tree algorithms to predict customer churn in one of Indonesian Telecommunication companies. …”
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Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
Published 2013“…Using 10-fold cross validation for each algorithm, it was found that decision tree was the best algorithm with 83.6944% correctness. …”
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Decision Tree: Customer churn analysis for a loyalty program using data mining algorithm
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Case Slicing Technique for Feature Selection
Published 2004“…The classification accuracy obtained from the CST method is compared to other selected classification methods such as Value Difference Metric (VDM), Pre-Category Feature Importance (PCF), Cross-Category Feature Importance (CCF), Instance-Based Algorithm (IB4), Decision Tree Algorithms such as Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5), Rough Set methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) and Neural Network methods such as the Multilayer method.…”
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Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery
Published 2023Conference Paper -
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Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu
Published 2014“…Multilayer Perceptron algorithm has been the best algorithm with the highest success percentage in both of the programs; Decision Trees has been the algorithm which has the lowest success percentage again in both of the programs. …”
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Comparison Of Phylogenetic Trees Using Difference Distance Function Method
Published 2005“…The pre-processing is implemented using the Microsoft Visual C++. The phylogenetic tree is build using the PHYLlP (the PHYlogeny Inference Package), a package of programs for inferring phylogenies (evolutionary trees). …”
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Evaluation of neurophysiological properties among methadone treatment subjects: EEG and ERP study / Farid Esmaeili Motlagh
Published 2018“…EEG power spectrum and electro-cognitive responses were the main assessments to be evaluated in each phase of the study. …”
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Computer algorithm for playing checkers
Published 2023“…The Checkers game uses heuristics algorithm, a simple depth-first procedure, for searching trees.…”
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Tracking student performance in introductory programming by means of machine learning
Published 2023Conference Paper -
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Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery
Published 2016“…In this paper, we have proposed a novel approach to monitor the vegetation near or under the power poles using satellite stereo images which were acquired using QuickBird and IKONOS satellite images and calculated disparity map using stereo matching algorithms i.e. dynamic programming (DP) and Hierarchical dynamic programming (HDP). …”
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Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
Published 2015“…We have compared the results of Pleiades satellite stereo images using dynamic programming and Graph-Cut algorithms, consequently comparing satellites’ imaging sensors and Depth-estimation Algorithms. …”
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Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
Published 2023Conference Paper -
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Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles
Published 2014“…In this paper, we have proposed a novel approach to monitor the vegetation near or under the power poles using satellite stereo images which were acquired using QuickBird and IKONOS satellites. 3D depth of vegetation has been measured using stereo algorithm incorporating dynamic programming. …”
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EEG signal complexity measurements to enhance BCI-based stroke patients' rehabilitation
Published 2023“…The dimensionality reduction algorithm, Laplacian Eigenmap (LE), was used to enhance the MI-based BCI classification performance. …”
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Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles
Published 2023“…In this paper, we have proposed a novel approach to monitor the vegetation near or under the power poles using satellite stereo images which were acquired using QuickBird and IKONOS satellites. 3D depth of vegetation has been measured using stereo algorithm incorporating dynamic programming. …”
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