Search Results - (( java implementation path algorithm ) OR ( parameter reduction function algorithm ))
Search alternatives:
- java implementation »
- implementation path »
- reduction function »
- function algorithm »
- path algorithm »
- parameter »
-
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. …”
Get full text
Get full text
Thesis -
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. …”
Get full text
Get full text
Thesis -
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. …”
Get full text
Get full text
Get full text
Get full text
Article -
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. …”
Get full text
Get full text
Thesis -
5
Design of super twisting algorithm for chattering suppression in machine tools
Published 2017“…This paper elaborates on the design and analysis of the super twisting algorithm with focus on optimizing the gain parameters. …”
Get full text
Get full text
Get full text
Get full text
Article -
6
Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…In the nonlinear ANC literature, various nonlinear algorithms have been introduced. These nonlinear algorithms were employed to improve noise reduction performance. …”
Get full text
Get full text
Thesis -
7
The PID controller parameter tuning based on a modified differential evolutionary optimization algorithm for the intelligent active vibration control of a combined single link robo...
Published 2025“…According to simulation findings, the technique can be used to optimize the PID controller parameters settings for the IAVC of the CSLRFM and a reduction in the mechanical vibrations. …”
Get full text
Get full text
Get full text
Article -
8
-
9
-
10
Optimal power flow using hybrid firefly and particle swarm optimization algorithm
Published 2020“…The particular fitness function is chosen as a single objective based on control parameters. …”
Get full text
Get full text
Get full text
Article -
11
Loudspeaker nonlinearity compensation with inverse tangent hyperbolic function-based predistorter for active noise control
Published 2014“…Simulation results show that using the proposed PD along with the FXLMS algorithm increase the noise reduction performance significantly. …”
Get full text
Get full text
Get full text
Article -
12
Assisted History Matching by Using Genetic Algorithm and Discrete Cosine Transform
Published 2014“…Apart from that, the manual way consume too much time, especially when dealing with thousands of well parameters. Hence, this project, which propose the usage of assisted history matching technique with Genetic Algorithm (GA) as the optimization tool and Discrete Cosine Transform (DCT) as the parameter reduction method is carried out in order to achieve the objective of minimizing the time taken to do history matching. …”
Get full text
Get full text
Final Year Project -
13
-
14
Real-time system identification of an unmanned quadcopter system using fully tuned radial basis function neural networks
Published 2021“…To prevent the neurons and network parameters selection dilemma during trial and error approach, RBF with EMRAN training algorithm is proposed. …”
Get full text
Get full text
Article -
15
Enhancement of Over-Exposed and Under-Exposed Images Using Hybrid Gamma Error Correction Sigmoid Function
Published 2007“…The first variant, combines the sigmoid function inside the gamma compensation function while the second variant combines the gamma compensation function inside the sigmoid function. …”
Get full text
Get full text
Thesis -
16
The impact of executive function and aerobic exercise recognition in obese children under deep learning
Published 2025“…It was to investigate the impact of an optimized OpenPose motion recognition model assisted by spatial transformer network (STN) and Lucas–Kanade optical flow algorithm on the functional capacity of children with simple obesity during aerobic exercise. …”
Get full text
Get full text
Article -
17
Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems
Published 2024“…The Nonlinear Sine Cosine Algorithm (NSCA) is introduced as a key extension, incorporating a versatile nonlinear decreasing gain into the transition parameter mechanism. …”
Get full text
Get full text
Thesis -
18
A firefly algorithm based hybrid method for structural topology optimization
Published 2020“…The lower and upper limit of design variables (0 and 1) were used to find initial material distribution to initialize the firefly algorithm based section of the hybrid algorithm. Input parameters, the number of fireflies, and the number of function evaluations were determined before the implementation of the firefly algorithm to solve formulated problems. …”
Get full text
Get full text
Article -
19
Metaheuristic Algorithm for Wellbore Trajectory Optimization
Published 2019“…This research will propose a new neighborhood function with Particle swarm optimization(PSO) algorithm for minimizing the true measured depth (TMD). …”
Get full text
Get full text
Conference or Workshop Item -
20
Real-time system identification of an unmanned quadcopter system using fully tuned radial basis function neural networks
Published 2021“…To prevent the neurons and network parameters selection dilemma during trial and error approach, RBF with EMRAN training algorithm is proposed. …”
Get full text
Get full text
Article
