Search Results - (( java implementation path algorithm ) OR ( using pca using algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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2
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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3
Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Improved clustering using robust and classical principal component
Published 2017“…The classical k-means algorithm and the k-means by PCA algorithm are very sensitive to the presence of outlier. …”
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5
A Comparison Study On Pca_Modular Pca And Lda For Face Recognition
Published 2017“…This paper will study the performance of three face recognition algorithms which are PCA, Modular PCA and LDA. These three face recognition algorithms will be implement to determine which algorithm has the best performance. …”
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6
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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7
Improved nu-support vector regression algorithm based on principal component analysis
Published 2023“…The outcomes indicate that the PCA-SVR algorithm is more efficient and reliable than the nu-SVR.…”
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Finger vein verification system using repeated line tracking and dimensionality reduction using PCA algorithms with SURF matching
Published 2017“…The Speeded-Up Robust Features (SURF) Algorithms is used to determine the interest points. …”
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Anomaly detection in system log files using machine learning algorithms / Zahedeh Zamanian
Published 2019“…This study applies unsupervised Isolation Forest and One Class SVM as ML algorithms to detect anomalies. Isolation Forest area under curve (AUC) successfully achieved 96.6% with applying PCA and without PCA, lowest value of AUC was 76%. …”
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10
An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis
Published 2016“…The proposed PCA-WAT algorithm is benchmarked with the Apriori and Apriori-T algorithms.Comparison analysis on weighted support has been performed to evaluate the capability of PCA in normalising item’s support value. …”
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11
Performance analysis of robust road sign identification
Published 2013“…For successful recognition rates using PCA can be achieved in the range of 94-98%. …”
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12
Reference-free Reduction of Ballistocardiogram Artifact from EEG Data Using EMD-PCA
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13
Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224)
“…Then, the weights are used together with either Principal Component Analysis (PCA) or Partial Least Square (PLS) to tackle the collinearity among variables. …”
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14
Waste classification using support vector machine with SIFT-PCA feature extraction
Published 2020“…The data used in this research is Trashnet datasets. The performance of the SVM classification using SIFT feature is compared with the similar algorithm with SIFT-PCA combined feature. …”
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15
Performance analysis of robust road sign identification
Published 2013“…For successful recognition rates using PCA can be achieved in the range of 94-98. …”
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16
Register Transfer Level Implementation Of Pooling - Based Feature Extraction For Finger Vein Identification
Published 2017“…The algorithm was mainly inspired by spatial pyramid pooling in generic image classification combined with PCA. …”
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17
Reference-free reduction of ballistocardiogram artifact from EEG data using EMD-PCA
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18
Face identification and verification using PCA and LDA
Published 2008“…Algorithms based on PCA (Principal Components Analysis) and LDA (Linear Discriminant Analysis) are among the most popular appearance-based approaches in face recognition. …”
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Algorithm for rapid identification of flavonoids classes
Published 2017“…The study concluded that FTIR coupled with PCA analysis can be used as a molecular fingerprint for rapid identification of flavonoids.…”
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