Search Results - (( developing solution tree algorithm ) OR ( java application stemming algorithm ))
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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree
Published 2008“…Furthermore, the robustness of genetic algorithm also has been investigated in order to validate the performance stability in achieving the optimal solution for every runtime. …”
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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree
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Tree-based contrast subspace mining method
Published 2020“…The research works involve first preparing the real world numerical and categorical data sets. Then, the tree-based method, the genetic algorithm based parameter values identification of tree-based method, and followed by the genetic algorithm based tree-based method, for numerical data sets are developed and evaluated. …”
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Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.]
Published 2023“…With geolocation and decision tree algorithms, this project aims to design and develop an emergency application for LRT passengers. …”
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Developing emergency application for LRT passengers with decision tree algorithm (RailAlert!) / Ezrren Natasha Baddru’l-Sham … [et al.]
Published 2023“…With geolocation and decision tree algorithms, this project aims to design and develop an emergency application for LRT passengers. …”
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Book Section -
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Wireless sensor nodes deployment using multi-robot based on improved spanning tree algorithm
Published 2015“…In this thesis an autonomous deployment method for wireless sensor nodes is proposed via multi-robot system which robots are considered as nodes carrier. Developing an exploration algorithm based on spanning tree is the main contribution. …”
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Implication of image processing algorithm in remote sensing and GIS applications
Published 2011“…Greedy algorithms expresses as a simple solution algorithm that choose a local optimum solution at each step to achieve a global optimum. …”
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Adaptive rapidly-exploring-random-tree-star (Rrt*) -Smart: algorithm characteristics and behavior analysis in complex environments
Published 2013“…The recent development of its variant: RRT* is considered as a major breakthrough as it makes it possible to achieve optimality in paths planning. …”
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Parse tree visualization for Malay sentence (BMTutor)
Published 2015“…It is also to enhance the learning process in BM that can be used by communities, especially students. An algorithm in designing BMTutor is discussed in this paper.The algorithm of the software is done sequentially as followed: 1) tokenizing 2) checking the number of words, 3) searching and comparing process to check the spelling or conjunctions, 4) assigning each word with a certain word class, 5) matching with rules, and 6) delivering/producing output (sentence correction or parse tree visualization, word attribute components, and parse tree from sentence examples).Based on the testing conducted, output from the development process shows that the prototype can correct all 15 invalid sentences and can produce parse tree visualization for all 20 sentences.…”
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Efficient terrain coverage for deploying wireless sensor nodes on multi-robot system
Published 2016“…In this work an autonomous deployment method for wireless sensor nodes is proposed via multi-robot system which robots are considered as node carrier. Developing an exploration algorithm based on spanning tree is the main contribution and this exploration algorithm is performing fast localization of sensor nodes in energy efficient manner. …”
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Detection of multiple mangoes using histogram of oriented gradient technique in aerial monitoring
Published 2016“…As a result, the rate of production and the structure of the tree will be dampening. Hence, usage of image processing algorithm could be a solution for a better and more precise mango’s pre-harvesting process. …”
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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…Over the last decade, many algorithms have been developed to address this problem. …”
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Waste management using machine learning and deep learning algorithms
Published 2020“…For our research we did the comparisons between three Machine Learning algorithms, namely Support Vector Machine (SVM), Random Forest, and Decision Tree, and one Deep Learning algorithm called Convolutional Neural Network (CNN), to find the optimal algorithm that best fits for the waste classification solution. …”
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Footwear quality evaluation using decision tree and logistic regression models
Published 2022“…The analysis showed that Decision Tree with Gini algorithm (three branches) in the first method prevails against the other methods with misclassification rate of 0.1307. …”
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Thesis -
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Application of sampling-based motion planning algorithms in autonomous vehicle navigation
Published 2016“…The performance of the proposed method is tested through simulation in different scenarios and also by comparing the performances of RRT and RRT* algorithms. The proposed method provides near-optimal solutions with smaller trees and in lower running time.…”
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Developing an app for streamlined inventory tracking with barcode scanning and load planning optimization
Published 2025“…Keywords: Inventory Management, Barcode Scanning, Load Planning, Binary Tree Bin Packing Algorithm, Mobile Application Development. …”
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Final Year Project / Dissertation / Thesis -
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Investigating optimal smartphone placement for identifying stairs movement using machine learning
Published 2023“…The data was trained against 6 machine learning algorithms namely Decision Tree, Logistic Regression, Naive Bayes, Random Forest, Neural Networks and KNN. …”
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Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones
Published 2020“…Moreover, the study provided systematic solutions based on reconfiguring the pedestrian zone by the trees. …”
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Predicting open space parking vacancies using machine learning
Published 2023“…A custom object detector developed using the YOLOv4 algorithm was used to collect the data for training the machine learning model. …”
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Final Year Project / Dissertation / Thesis
