Search Results - (( java implementation path algorithm ) OR ( using class using algorithms ))
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1
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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4
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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5
Improving Class Timetabling using Genetic Algorithm
Published 2006“…Timetables are used to schedule classes and teachers in school. …”
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6
GOS: a Genetic OverSampling Algorithm for classification of Quranic verses
Published 2022“…In this paper, a new technique called "GOS: a Genetic OverSampling algorithm”, is proposed using a genetic algorithm. …”
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Proceeding Paper -
7
A heuristics approach for classroom scheduling using genetic algorithm technique
Published 2017“…The algorithm considered the quantity of students in each class, class time, class size, time accessibility in each class and lecturer who in charge of the classes.…”
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8
Markov-modulated Bernoulli-based Performance Analysis for BLUE Algorithm under Bursty and Correlated Traffics
Published 2024“…A two-dimensional discrete-time Markov chain is used to model the BLUE algorithm for two traffic classes, in which each dimension corresponds to a traffic class and the parameters of that traffic class. …”
Proceedings Paper -
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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11
A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules
Published 2013“…The algorithm fixes the class before rule's construction. …”
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12
Evolutionary deep belief networks with bootstrap sampling for imbalanced class datasets
Published 2019“…In this paper, the genetic algorithm (GA) and bootstrap sampling are incorporated into DBN to lessen the drawbacks occurs when imbalanced class datasets are used. …”
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13
Parallel computation of maass cusp forms using mathematica
Published 2013“…The latter is developed using an adapted algorithm of Hejhal and Then which is based on implicit automorphy and finite Fourier series. …”
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14
University class timetable tool
Published 2022“…It will provide the students with the concepts, structures, and design of an automated timetabling tool using Genetic Algorithm. University class timetabling is an optimization problem where sets of the class events need to be scheduled into the timeslots available and at the same time, consider the existence of the constraints. …”
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Final Year Project / Dissertation / Thesis -
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A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets
Published 2021“…Ant-tree-miner (ATM) has an advantage over the conventional decision tree algorithm in terms of feature selection. However, real world applications commonly involved imbalanced class problem where the classes have different importance. …”
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16
Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model
Published 2018“…EM and K-means clustering algorithms are used to cluster the multi-class classification attribute according to its relevance criteria and afterward, the clustered attributes are classified using an ensemble random forest classifier model. …”
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Developing class scheduler system / Mohamed Imran Mohamed Ariff
Published 2006“…A basic solution is presented in this research. The algorithm used in this research is the truth table approach. …”
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Research Reports -
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Study on numerical solution of a variable order fractional differential equation based on symmetric algorithm
Published 2019“…Numerical solution algorithm for a class of fractional differential equations with transformed arrays based on the proposed symmetry algorithm. …”
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Enhancing Classification Algorithms with Metaheuristic Technique
Published 2024“…Implementing this process uses classification algorithms such asNaïve Bayes, Support Vector Machine,and Random Forest. …”
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Development of a scheduling tool for constructing a Malaysian school timetable using genetic algorithms / Salihin Farag Shoeeb
Published 2003“…A recent approach to derive a near-optimal solution is to use evolutionary or genetic algorithms. In this project, we describe in detail the school timetable problem and present the genetic algorithm employed to construct the timetable for a typical Malaysian schools.…”
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