Search Results - (( java implementation path algorithm ) OR ( programming line tree algorithm ))
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1
Optimizing tree planting areas through integer programming and improved genetic algorithm
Published 2012“…Therefore, a hybrid algorithm through an incorporation of Integer Programming and Improved Genetic Algorithm was proposed for planting lining design. …”
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2
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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3
Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery
Published 2023Conference Paper -
4
Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network
Published 2021“…This paper presents a statistical algorithm for classification of fault causes on power transmission lines. …”
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5
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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6
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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7
Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…The ID3 algorithm which is originally designed for a non-spatial dataset has been improved to construct a spatial decision tree from a spatial dataset containing discrete features (points, lines and polygons). …”
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8
Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
Published 2023Conference Paper -
9
Decision tree method for fault causes classification based on rms-dwt analysis in 275 kv transmission lines network
Published 2023“…This paper presents a statistical algorithm for classification of fault causes on power transmission lines. …”
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10
Vegetation height estimation near power transmission poles via satellite stereo images using 3D depth estimation algorithms
Published 2015“…Our results show that Graph-Cut Algorithm performs better than dynamic programming (DP) in terms of accuracy and speed.…”
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11
Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery
Published 2016“…Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. …”
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12
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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13
Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles
Published 2014“…Therefore, it is mandatory for electricity companies to monitor the vegetation/trees near power lines to avoid the blackouts. Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. …”
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14
Lightning Fault Classification for Transmission Line Using Support Vector Machine
Published 2024“…The most prevalent cause of faults in the power system is lightning strikes, while other causes may include insulator failure, tree or crane encroachment. In this study, two machine learning algorithms, Support Vector Machine (SVM) and k-Nearest Neighbor (kNN), were used and compared to classify faults due to lightning strikes, insulator failure, tree and crane encroachment. …”
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15
Lightning fault classification for transmission line using support vector machine
Published 2023“…The most prevalent cause of faults in the power system is lightning strikes, while other causes may include insulator failure, tree or crane encroachment. In this study, two machine learning algorithms, Support Vector Machine (SVM) and k-Nearest Neighbor (kNN), were used and compared to classify faults due to lightning strikes, insulator failure, tree and crane encroachment. …”
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16
Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles
Published 2023“…Therefore, it is mandatory for electricity companies to monitor the vegetation/trees near power lines to avoid the blackouts. Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. …”
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17
Comparison Of Phylogenetic Trees Using Difference Distance Function Method
Published 2005“…PHYLIP contains program for reconstructing trees from distance matrices. …”
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18
Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
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19
Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
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20
Enhancing understanding of programming concepts through physical games
Published 2017“…We produced in total 10 lesson games to illustrate variables, swapping, arrays, sorting algorithm particularly bubble sort, quicksort, selection sort, graph theory, dynamic programming, amortized analysis and trees. …”
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